Relevant bibliographies by topics / Planning with Action Costs

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Planning with Action Costs'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Planning with Action Costs"

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Eiter, T., W. Faber, N. Leone, G. Pfeifer, and A. Polleres. "Answer Set Planning Under Action Costs." Journal of Artificial Intelligence Research 19 (August 1, 2003): 25–71. http://dx.doi.org/10.1613/jair.1148.

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Recently, planning based on answer set programming has been proposed as an approach towards realizing declarative planning systems. In this paper, we present the language Kc, which extends the declarative planning language K by action costs. Kc provides the notion of admissible and optimal plans, which are plans whose overall action costs are within a given limit resp. minimum over all plans (i.e., cheapest plans). As we demonstrate, this novel language allows for expressing some nontrivial planning tasks in a declarative way. Furthermore, it can be utilized for representing planning problems under other optimality criteria, such as computing ``shortest'' plans (with the least number of steps), and refinement combinations of cheapest and fastest plans. We study complexity aspects of the language Kc and provide a transformation to logic programs, such that planning problems are solved via answer set programming. Furthermore, we report experimental results on selected problems. Our experience is encouraging that answer set planning may be a valuable approach to expressive planning systems in which intricate planning problems can be naturally specified and solved.
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Maratea, Marco. "Planning as satisfiability with IPC simple preferences and action costs." AI Communications 25, no. 4 (2012): 343–60. http://dx.doi.org/10.3233/aic-2012-0540.

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Tan, Harold, and Lim Yee Juan. "Finance transformation for healthcare: A structured model for planning and action." International Journal of Healthcare 5, no. 1 (2019): 42. http://dx.doi.org/10.5430/ijh.v5n1p42.

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With rising healthcare costs, payers are transforming the way they pay healthcare providers. Currently, there is much interest in value-based financing and accountable care models. However, finance transformation in healthcare goes beyond changing funding models. The way funds flow to providers and how patients share healthcare costs also need to be transformed to ensure an overall sustainable value-based financing system. A structured model of finance transformation in healthcare is proposed in this article supported by evidential review, which discusses several fundamental and critical factors affecting finance transformation and explores some strategies that could help sustain the new financing models. Hopefully, this model can serve as a useful guide to healthcare systems embarking on finance transformation for long term cost sustainability.
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Richter, S., and M. Westphal. "The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks." Journal of Artificial Intelligence Research 39 (September 21, 2010): 127–77. http://dx.doi.org/10.1613/jair.2972.

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LAMA is a classical planning system based on heuristic forward search. Its core feature is the use of a pseudo-heuristic derived from landmarks, propositional formulas that must be true in every solution of a planning task. LAMA builds on the Fast Downward planning system, using finite-domain rather than binary state variables and multi-heuristic search. The latter is employed to combine the landmark heuristic with a variant of the well-known FF heuristic. Both heuristics are cost-sensitive, focusing on high-quality solutions in the case where actions have non-uniform cost. A weighted A* search is used with iteratively decreasing weights, so that the planner continues to search for plans of better quality until the search is terminated. LAMA showed best performance among all planners in the sequential satisficing track of the International Planning Competition 2008. In this paper we present the system in detail and investigate which features of LAMA are crucial for its performance. We present individual results for some of the domains used at the competition, demonstrating good and bad cases for the techniques implemented in LAMA. Overall, we find that using landmarks improves performance, whereas the incorporation of action costs into the heuristic estimators proves not to be beneficial. We show that in some domains a search that ignores cost solves far more problems, raising the question of how to deal with action costs more effectively in the future. The iterated weighted A* search greatly improves results, and shows synergy effects with the use of landmarks.
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KAUTZ, HENRY, and JOACHIM P. WALSER. "Integer optimization models of AI planning problems." Knowledge Engineering Review 15, no. 1 (2000): 101–17. http://dx.doi.org/10.1017/s0269888900001053.

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This paper describes ILP-PLAN, a framework for solving AI planning problems represented as integer linear programs. ILP-PLAN extends the planning as satisfiability framework to handle plans with resources, action costs, and complex objective functions. We show that challenging planning problems can be effectively solved using both traditional branch-and-bound integer programming solvers and efficient new integer local search algorithms. ILP-PLAN can find better quality solutions for a set of hard benchmark logistics planning problems than had been found by any earlier system.
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Krane, Jim. "Climate action versus inaction: balancing the costs for Gulf energy exporters." British Journal of Middle Eastern Studies 47, no. 1 (2020): 117–35. http://dx.doi.org/10.1080/13530194.2020.1714269.

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Soranzo, Benedetta, Anna Nosella, and Roberto Filippini. "Redesigning patent management process: an Action Research study." Management Decision 55, no. 6 (2017): 1100–1121. http://dx.doi.org/10.1108/md-04-2016-0226.

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Purpose The purpose of this paper is to describe how the patent planning and patent evaluation processes might be redesigned for firms intending to move from a mere accumulation of patents to a more thoughtful patent management approach that couples protection with the reduction of cost related to patent file and maintenance. Design/methodology/approach An Action Research project was carried out in close collaboration with a firm. This approach was adopted since it allows generation of new scientific knowledge from the observation and direct intervention on a specific situation. Findings Results underline the importance of structuring and formalising the patent planning and patent evaluation processes within the firm. Moreover, it is suggested that the patent planning process should be integrated into the development of a new product/technology since its initial phases. Research limitations/implications The paper contributes to filling the gap regarding the practical implementation and improvement of patent planning and patent evaluation processes, coupling protection with the minimisation of costs related to patent file and maintenance. However, as the results of Action Research studies are specific to the context where they took place, result generalisability is limited. Practical implications This paper provides managers with a valuable example on how to structure the patent planning and patent evaluation processes. The introduction of specific analyses into these processes allows limiting the decision-making subjectivity and, consequently, enhances the accuracy of firm investment in filing and maintaining its patents. Originality/value Providing a practical example of the actual implementation and improvement of the patent planning and patent evaluation processes, this paper responds to the recent call for more qualitative studies on intellectual property management.
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Peindl, Kathleen S., Edmund J. Zolnik, Katherine L. Wisner, and Barbara H. Hanusa. "Effects of Postpartum Psychiatric Illnesses on Family Planning." International Journal of Psychiatry in Medicine 25, no. 3 (1995): 291–300. http://dx.doi.org/10.2190/qd56-6dfm-elde-vvkr.

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Objective: We investigated the relationship between postpartum psychiatric episodes and subsequent family planning. Our hypothesis was that women who had a postpartum illness would plan to have fewer children. Method: We conducted a mail survey of members of the self-help group Depression After Delivery (DAD). The membership was asked about changes in family planning after a postpartum illness. Two groups were defined: women who took action to prevent further pregnancies after the illness (CHANGE) and women who did not take action to prevent future pregnancies (NO CHANGE). Results: Among respondents 32 percent changed their family plans after suffering a postpartum illness. Fear of recurrence, effects on the family, treatment costs and severity of the episode manifested by suicide or infanticide attempt, hospitalization, and prescribed medication were reasons given for altering plans. Conclusions: The postpartum illness dramatically changed some women's reproductive plans. Prevention strategies for these illnesses need to be addressed when women are making decisions about having other children.
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Leonard, Joseph J., and Carl L. Gibeault. "Action Plan Effectiveness." International Oil Spill Conference Proceedings 1999, no. 1 (1999): 433–36. http://dx.doi.org/10.7901/2169-3358-1999-1-433.

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ABSTRACT Incident Action Plans (IAPs) are one of the most effective ways for an Incident Commander (IC) or Unified Command (UC) to convey to the established response organization the goals and objectives that must be accomplished to mitigate an event. These plans come in many forms, from simple ones written on a blank sheet of paper to book size plans produced by a computer. Regardless of the form used, they must all successfully convey the IC's or UC's intentions, while being flexible enough to handle changes brought on by unseen events. If the plan is not “user-friendly,” then field personnel in the Operations Section will develop their own strategies for mitigating the incident. This free-lancing may lead to poor resource utilization, duplication of effort, creation of safety hazards, and the general failure to accomplish the overall goals of the IC or UC. This lack of effectiveness will quickly be translated into a lack of efficiency, thereby raising response costs—something no responsible party wants or needs. IAPs must avoid being too complex, too detailed, or too lengthy, as this will limit their usefulness to response managers and supervisors. Dedicated efforts must be made by the Planning Section to assure that IAPs can be easily read and understood by response managers and supervisors. These plans must also have measurable objectives that can be accomplished by the available resources. An effective IAP is composed of four key elements—response objectives, the structure of the response management organization, assignments for response resources, and supporting plans and materials. Comprehensive development of these four essential elements is the cornerstone of an effective IAP. To translate planning into execution, IAPs must contain the four essential elements, be easily understood by response managers and supervisors, and have response objectives achievable by available resources.
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Rhodes, Ekaterina, Tamara Krawchenko, Katherine Pearce, and Karena Shaw. "Scaling up local climate action: A survey of climate policy priorities in the Vancouver Island and Coastal Communities region." Canadian Planning and Policy / Aménagement et politique au Canada 2021 (March 26, 2021): 36–69. http://dx.doi.org/10.24908/cpp-apc.v2021i01.14469.

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Regional planning can help functionally-connected communities share expertise and the costs of climate action and amplify collective concerns and needs to upper-level governments. Understanding communities’ climate impacts, policies and barriers to action is foundational to the development of regional-scale climate planning. In support of a nascent climate strategy in the Vancouver Island and Coastal Communities region of British Columbia, our study employs a web-based survey of local government officials (n=106) to identify the existing climate impacts, policy priorities, barriers, and opportunities that guide climate policy-making in the region, including the impacts of the COVID-19 pandemic. We find that nearly all communities have experienced climate-related impacts and have implemented a variety of climate policies. However, local governments face substantial barriers—including a lack of financial resources, authority and staffing capacity—to pursue climate action and planning.
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Dissertations / Theses on the topic "Planning with Action Costs"

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Keyder, Emil Ragip. "New Heuristics for Planning with Action Costs." Doctoral thesis, Universitat Pompeu Fabra, 2010. http://hdl.handle.net/10803/7570.

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Classical planning is the problem of nding a sequence of actions that take an agent from an initial state to a desired goal situation, assuming deter- ministic outcomes for actions and perfect information. Satis cing planning seeks to quickly nd low-cost solutions with no guarantees of optimality. The most e ective approach for satis cing planning has proved to be heuristic search using non-admissible heuristics. In this thesis, we introduce several such heuristics that are able to take into account costs on actions, and there- fore try to minimize the more general metric of cost, rather than length, of plans, and investigate their properties and performance. In addition, we show how the problem of planning with soft goals can be compiled into a classical planning problem with costs, a setting in which cost-sensitive heuristics such as those presented here are essential.<br>La plani caci on cl asica es el problema que consiste en hallar una secuencia de acciones que lleven a un agente desde un estado inicial a un objetivo, asum- iendo resultados determin sticos e informaci on completa. La plani caci on \satis cing" busca encontrar una soluci on de bajo coste, sin garant as de op- timalidad. La b usqueda heur stica guiada por heur sticas no admisibles es el enfoque que ha tenido mas exito. Esta tesis presenta varias heur sticas de ese g enero que consideran costes en las acciones, y por lo tanto encuentran soluciones que minimizan el coste, en lugar de la longitud del plan. Adem as, demostramos que el problema de plani caci on con \soft goals", u objetivos opcionales, se puede reducir a un problema de plani caci on clasica con costes en las acciones, escenario en el que heur sticas sensibles a costes, tal como las aqu presentadas, son esenciales.
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Geißer, Florian [Verfasser], and Bernhard [Akademischer Betreuer] Nebel. "On planning with state-dependent action costs." Freiburg : Universität, 2018. http://d-nb.info/1189066688/34.

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Rader, Olsson Amy. "Planning Metropolitan Regions : Institutional Perspectives and the Case for Space." Doctoral thesis, Stockholm : Royal Institute of Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4707.

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Baffour, Awuah K. G. "A quantitative analysis of the economic incentives of sub-Saharan Africa urban land use planning systems : case study of Accra, Ghana." Thesis, University of Wolverhampton, 2013. http://hdl.handle.net/2436/298945.

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The deficiency of sub-Saharan Africa urban land use planning regimes has received extensive discussion in the literature. As yet, little is known of the extent and magnitude of the economic impact of these planning regimes on the economic wellbeing of individuals and the society. This situation is further compounded by the lack of simplified and bespoke methodologies for calibrating economic impacts of planning policies even in the developed world where there are relatively huge volumes of organised data. This study aims to prescribe a simplified quantitative methodology, which is subsequently employed to gauge the economic impacts of these regimes. It proceeds on the central argument that planning regimes in the sub-region are weak with low compliance with planning regulations, partly because they do not provide incentives for property owners/developers/land users. The study adopts a cross-sectional survey strategywith questionnaires and administrative data extraction to procure the requisite data from Accra, Ghana to feed the devised methodological framework. The study establishes that Ghana’s urban land use planning regime, in its current form, imposes huge cost on residential property owners compared to its benefits; it creates a disincentive for property owners. A substantial amount of this cost emanates from pipe-borne water, and tarred roads and concrete drain infrastructural facilities. It is further established that the cost of title formalisation requirement constitutes a huge portion of the cost on express requirements under the planning regime. A major portion of this cost results from the cost other than official fees. However, on individual basis the requirement generates marginal net benefit. Incidental costs for the other express requirements, architectural design and building permit are also substantial. In terms of benefits, tarred roads and concrete drains, formalised title, electricity and pipe-borne water, individually, are found to generate the most benefits under the planning regime. The study makes a number of recommendations. These include formulation of planning policies on the basis of providing incentives to property owners/developer/land users, strategies for reduction of infrastructural and amenities costs, as well as incidental cost relating to compliance with the subject planning regime express requirements.
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Endicott, Peter B. (Peter Bradford). "Reducing residential construction costs : a comparison of residential construction costs in the Boston metropolitan area." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/65666.

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Maxian, Miriam. "A breakdown of housing development costs." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/68717.

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Alsultan, Sami H. "Air fleet capacity planning." Thesis, University of Salford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308089.

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Aheadi, Afshin. "The role of action planning and control within joint action." Thesis, Royal Holloway, University of London, 2012. http://repository.royalholloway.ac.uk/items/ec9caf45-f2f5-4dc6-a78f-bb2327e1c3ef/1/.

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Past work on joint action has shown that the performance of joint action improves when individuals within a pair behave using a predictable strategy. The present study sought to examine the effects of manipulating task demands on joint action planning strategies and online control. Participant pairs performed a joint task in which a Passer passed an object to a Receiver, who had to place it in a target area in a pre-determined orientation. Seven experiments varied the demands, constraints, and roles involved in each participants' task. Experiment 1, which served as a control for the following experiments, examined the basic action planning formation amongst two individuals. Experiment 2 and 3 applied an artificial impairment in a predictable and unpredictable manner, respectively, to one of the participants to examine its effect on strategy formation relative to action planning and control. In Experiment 4 the effects of gaze cue was examined, whilst Experiment 5 increased task difficulty through the insertion of an added precision task. Experiment 6 examined the role of imitation and adopting a partner's role during joint cooperation by swapping roles during the object passing task. Experiment 7 increased movement complexity through the application of a cube that could be rotated in 3 dimensions. Overall, it was observed that Passers were inclined to rotate the object prior to handing it to the Receiver, thereby accommodating the latter's affordances. When task demands were varied within a session, Passer's adopted highly consistent strategies across conditions. When roles were reversed halfway through the session, participants generally behaved as their partner had in the first block. Taken in sum, 4 these results suggest that planning a joint action is influenced by a partner's task and the overall action goal, with predictability being an important component of strategy formation.
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Blomberg, Karl Johan Olof. "Joint action without and beyond planning." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7991.

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Leading philosophical accounts of joint activity, such as Michael Bratman’s account of ‘shared intentional activity’, take joint activity to be the outcome of two or more agents having a ‘shared intention’, where this is a certain pattern of mutually known prior intentions (plans) that are directed toward a common goal. With Bratman’s account as a foil, I address two lacunas that are relatively unexplored in the philosophical literature. The first lacuna concerns how to make sense of the apparently joint cooperative activities of agents that lack the capacities for planning and “mindreading” that one must have in order to be a party to a shared intention (consider, for example, the social play of young children or the cooperative hunting of non-human primates or social carnivores). The second lacuna concerns how participants (including adult human agents) are able to coordinate their actions “online”—that is, during action execution as a joint activity unfolds—without recourse to plans that specify in advance what they should do (consider the coordination involved when two friends meet and do a “high five”). Chapters 2 and 3 focus on the first lacuna, while chapters 4 and 5 focus on the second. In chapter 2, I focus on why participants must have mutual or common knowledge of each other’s intentions and beliefs in order to have a shared intention: Why must these attitudes be “out in the open”? I argue that, if participants lack the concept of belief, then one of the two main motivations for the common knowledge requirement—to filter out certain cases that intuitively aren’t cases of genuine joint activity—actually dissipates. Furthermore, a kind of “openness” that only requires of participants that they have the concept of goal but not that of belief can satisfy the other main motivation, to make sense of the idea that joint activities are non-accidentally coordinated. In chapter 3, I offer an account of a kind of joint activity in which agents such as young children and some non-human primates could participate, given what we know about their socio-cognitive capacities. In chapter 4, I argue that ‘shared intention’-accounts are unable to say much about spontaneous or skilful joint action because of the following widely accepted constraint on what one can intend: while an agent might intend—in the sense of commit to a plan—that “we” do something together, an agent cannot intend to perform “our” joint action. I reject this constraint and argue that some joint actions (such as a joint manoeuvre performed by two figure skaters) are joint in virtue of each participant having what I call ‘socially extended intention-in-action’ that overlap. In chapter 5, I review empirical work on subpersonal enabling mechanisms for the coordination of joint action. The review provides clues to what it is that enables participants to successfully coordinate their actions in the absence of plan-like intentions or beyond what such intentions specify. While what I address are lacunas rather than problems, an upshot of this thesis is that leading philosophical accounts of joint activity may have less explanatory scope than one might otherwise be led to believe. The accounts of joint activity and joint action that are presented in this thesis are arguably applicable to many of the joint activities and joint actions of adult human beings. The account also helps us avoid the false dichotomy between a very robust form of joint activity and a mere concatenation of purely individualistic actions—a dichotomy that accounts such as Bratman’s arguably invite us to adopt.
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Turner, Charles Hudson. "Causal action theories and satisfiability planning /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Books on the topic "Planning with Action Costs"

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Smith, Jim. Building cost planning in action. Deakin University Press, 2000.

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Alaska. Governor's Council on Rural Sanitation. Rural Sanitation 2005 Action Plan: A strategy to make safe water and hygienic sewage service a reality for all Alaskans. Governor's Council on Rural Sanitation, 1998.

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All, Health Care For. Taking action, making change: A handbook on health care reform. HCFA, 1993.

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Alaska. Legislature. Division of Legislative Audit. Department of Environmental Conservation, Division of Facility Construction and Operation, Village Safe Water Program, Rural Sanitation 2005 Action Plan. Division of Legislative Audit, 1998.

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Launching, Seminar of the Action COST 332 (1996 Barcelona Spain). COST 332: Transport and land-use policies : resistance and hopes for coordination : proceedings of the Launching Seminar of the Action COST 332, 24-25 October 1996, Barcelona, Spain. Office for Official Publications of the European Communities, 1998.

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European Cooperation in the Field of Scientific and Technical Research (Organization). COST C12 (Project) and European Cooperation in the Field of Scientific and Technical Research (Organization). Urban Civil Engineering, eds. Improvement of buildings' structural quality by new technologies: Proceedings of the Final Conference of COST Action C12, 20-22 January, 2005, Innsbruck, Austria. A.A. Balkema, 2005.

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Alberta. Advisory Committee on the Utilization of Medical Services. An Agenda for action: Report of the Advisory Committee on the Utilization of Medical Services. The Committee], 1989.

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Baróss, Paul. Action planning. Institute for Housing and Urban Development Studies, 1991.

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Harington, David. Planning and controlling costs. Financial Times Management, 1998.

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Maychell, Karen. Planning for action. NFER, 1997.

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Book chapters on the topic "Planning with Action Costs"

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Eiter, Thomas, Wolfgang Faber, Nicola Leone, Gerald Pfeifer, and Axel Polleres. "Answer Set Planning under Action Costs." In Logics in Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45757-7_16.

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Fan, Gaojian. "Diverse Action Costs in Heuristic Search and Planning." In Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57351-9_44.

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Aldinger, Johannes, and Bernhard Nebel. "Interval Based Relaxation Heuristics for Numeric Planning with Action Costs." In KI 2017: Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67190-1_2.

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Corraya, Sumitra, Florian Geißer, David Speck, and Robert Mattmüller. "An Empirical Study of the Usefulness of State-Dependent Action Costs in Planning." In KI 2019: Advances in Artificial Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30179-8_10.

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Roberts, J. "Reducing the Social Costs of Alcohol Abuse — Selecting Targets for Intersector Planning and Action." In Health Systems Research. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-83240-6_21.

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Holkham, Tony. "Costs." In Label Writing and Planning. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4613-1231-4_12.

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Newton, Nicki. "Planning, Planning, Planning." In Guided Math in Action, 2nd ed. Routledge, 2021. http://dx.doi.org/10.4324/9780429283253-8.

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Mochrie, Robert. "Costs and planning." In Intermediate Microeconomics. Macmillan Education UK, 2016. http://dx.doi.org/10.1007/978-1-137-09166-6_12.

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Cordell, Andrea, and Ian Thompson. "Action planning." In The Category Management Handbook. Routledge, 2018. http://dx.doi.org/10.4324/9781351239585-32.

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Staron, Miroslaw. "Action Planning." In Action Research in Software Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32610-4_4.

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Conference papers on the topic "Planning with Action Costs"

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Fan, Gaojian, Martin Müller, and Robert Holte. "Additive Merge-and-Shrink Heuristics for Diverse Action Costs." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/599.

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In many planning applications, actions can have highly diverse costs. Recent studies focus on the effects of diverse action costs on search algorithms, but not on their effects on domain-independent heuristics. In this paper, we demonstrate there are negative impacts of action cost diversity on merge-and-shrink (M&amp;S), a successful abstraction method for producing high-quality heuristics for planning problems. We propose a new cost partitioning method for M&amp;S to address the negative effects of diverse action costs. We investigate non-unit cost IPC domains, especially those for which diverse action costs have severe negative effects on the quality of the M&amp;S heuristic. Our experiments demonstrate that in these domains, an additive set of M&amp;S heuristics using the new cost partitioning method produces much more informative and effective heuristics than creating a single M&amp;S heuristic which directly encodes diverse costs.
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Korfage, I., S. Polinder, A. van der Heide, et al. "OP55 Evaluating costs of advance care planning; results from the international ACTION study." In ACP-I Congress Abstracts. British Medical Journal Publishing Group, 2019. http://dx.doi.org/10.1136/spcare-2019-acpicongressabs.55.

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Bhargava, Nikhil, Christian Muise, Tiago Vaquero, and Brian Williams. "Managing Communication Costs under Temporal Uncertainty." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/12.

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In multi-agent temporal planning, individual agents cannot know a priori when other agents will execute their actions and so treat those actions as uncertain. Only when others communicate the results of their actions is that uncertainty resolved. If a full communication protocol is specified ahead of time, then delay controllability can be used to assess the feasibility of the temporal plan. However, agents often have flexibility in choosing when to communicate the results of their action. In this paper, we address the question of how to choose communication protocols that guarantee the feasibility of the original temporal plan subject to some cost associated with that communication. To do so, we introduce a means of extracting delay controllability conflicts and show how we can use these conflicts to more efficiently guide our search. We then present three conflict-directed search algorithms and explore the theoretical and empirical trade-offs between the different approaches.
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Leofante, Francesco, Enrico Giunchiglia, Erika Ábráham, and Armando Tacchella. "Optimal Planning Modulo Theories." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/571.

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We consider the problem of planning with arithmetic theories, and focus on generating optimal plans for numeric domains with constant and state-dependent action costs. Solving these problems efficiently requires a seamless integration between propositional and numeric reasoning. We propose a novel approach that leverages Optimization Modulo Theories (OMT) solvers to implement a domain-independent optimal theory-planner. We present a new encoding for optimal planning in this setting and we evaluate our approach using well-known, as well as new, numeric benchmarks.
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Wang, Weitian, Yi Chen, Zachary Max Diekel, and Yunyi Jia. "Cost Functions based Dynamic Optimization for Robot Action Planning." In HRI '18: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2018. http://dx.doi.org/10.1145/3173386.3177021.

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Slottner, Pontus. "Beyond Life: Including Risk and Consequence in Maintenance Planning." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-43572.

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Adequate and timely maintenance is a tool to improve the value of equipment by ensuring that potential risks are mitigated in a timely and efficient manner thereby increasing the return on investment of the equipment. In practice, this means that every maintenance activity needs to eliminate a known or predicted future cost of maintenance, loss of production, other consequence costs of failures or any combination of the above that is more expensive than the maintenance action itself. Different approaches to this optimization problem have been suggested over the years including model based physical as well as purely numerical and hybrid approaches. This paper discusses an attempt to combine failure consequence analysis methods and probabilistic methods with classical prognostics methods for a gas turbine blade where the life time show high sensitivity to operation conditions and multiple failure modes are active. Applications of the results are discussed. The conclusions indicate that the shape of failure data can be a strong indicator on the relative sensitivity of reliability to changes in quality of parts and workmanship, overall plant design and gas turbine maintenance.
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Almuhtady, Ahmad, Seungchul Lee, and Jun Ni. "Joint Maintenance and Production Planning by Maintenance-Optimal Swapping." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1076.

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Degradation is an inevitable course of any manufacturing tool, machine or system. The degradation of the health state of manufacturing tools results in some sort of an ineludible maintenance action which could be both costly and occurring during critical production time. In many manufacturing systems, a fleet of identical machines are assigned different tasks (or products) towards satisfying production requirements. We re-introduce the maintenance-optimal resource allocation planning scheme [1] (presented in MSEC2012) and focus on the solution of the generated mathematical model. The planning scheme, denoted as Degradation Based Optimal Swapping (DBOS), incorporates the optimal implementation of swapping scheduled tasks (or products) and allocating maintenance actions throughout a finite time horizon. The objective is to minimize projected maintenance costs and/or utilize the manufacturing productivity towards prescribed logistics and/or production goals. A DBOS-specific branch-and-bound-based optimization algorithm is developed to address the complexity in the generated model. Numerical results will demonstrate the effectiveness of the algorithm in comparison to standard optimization algorithms. DBOS planning scheme coupled with the proposed algorithm succeeds in establishing substantial savings in the simulated case studies which amount up to 70% of the estimated maintenance costs in comparison to the scenario where fixed scheduling is applied.
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Lerch, F. J., M. M. Mantei, and J. R. Olson. "Skilled financial planning: the cost of translating ideas into action." In the SIGCHI conference. ACM Press, 1989. http://dx.doi.org/10.1145/67449.67474.

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Asai, Masataro, Akihiro Kishimoto, Adi Botea, Radu Marinescu, Elizabeth M. Daly, and Spyros Kotoulas. "Efficient Optimal Search under Expensive Edge Cost Computation." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/596.

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Optimal heuristic search has been successful in many domains, including journey planning, route planning and puzzle solving. Existing work typically assumes that the cost of each action can easily be obtained. However, in many problems, the exact edge cost is expensive to compute. Existing search algorithms face a significant performance bottleneck, due to an excessive overhead associated with dynamically calculating exact edge costs. We present DEA*, an algorithm for problems with expensive edge cost computations. DEA* combines heuristic edge cost evaluations with delayed node expansions, reducing the number of exact edge computations. We formally prove that DEA* is optimal and it is efficient with respect to the number of exact edge cost computations. We empirically evaluate DEA* on multiple-worker routing problems where the exact edge cost is calculated by invoking an external multi-modal journey planning engine. The results demonstrate the effectiveness of our ideas in reducing the computational time and improving the solving ability. In addition, we show the advantages of DEA* in domain-independent planning, where we simulate that accurate edge costs are expensive to compute.
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Al-Sayed, Said H., Yusef El-Sayed, and Sahar S. Gadou. "The application of resilience planning concepts as a tool for assessment and evaluating Egyptian urban communities to achieve resilience after disasters." In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/lowo4087.

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After the revolutions of the so-called Arab Spring which begin in Egypt at January 25, 2011, many disasters occurred in many Egyptian cities, and also significant changes in cities led to the emergence of severe shocks suffered by the community, including other subversive threats as Corona pandemic, long-term social pressures like unemployment and poor access Barriers to education, crime or homelessness, as well as deliberate sabotage of urban structures and infrastructure, directly or indirectly, have led to the deterioration of cities and the change of human behavior for the worse. The research aims to identify the concepts and methodology of resilience planning, and apply them to Egyptian cities to increase its ability to recover and adapt positively to un expected changing circumstances or challenges, including Revolutions, Corona pandemic, disasters and climate change, to maintain quality of life and healthy growth, and to achieve permanent systems that can preserving resources for present and future generations. It will also aim to create a tool as (Cities resilience assessment form) for assessment and evaluating the Egyptian Cities for its resilience. That will help to make a community resilience plan includes policies, programs and other actions that can be taken in many sectors to improve a society's ability to cope with risks or change circumstances. Resilience planning can thus reduce future disaster response and recovery costs and improve recovery time after natural or human hazards events. The research will include the definition of resilience planning concepts, implications and objectives that aim to update flexible land-use codes, zoning, development criteria, incentive programs, and other plans or policies to better prepare for potential shocks and pressures, and also help to develop standards that allow action against unexpected events
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Reports on the topic "Planning with Action Costs"

1

Eichengreen, Barry, and Ashoka Mody. Would Collective Action Clauses Raise Borrowing Costs? National Bureau of Economic Research, 2000. http://dx.doi.org/10.3386/w7458.

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Tonn, B., M. Russell, Hwang Ho-Ling, R. Goeltz, and J. Warren. Costs of RCRA corrective action: Interim report. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5178624.

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Hess, Robert W. Africa Civic Action Planning and Implementation Guide. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada196282.

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Sigmon, C. F., S. A. Ashburn, R. L. Jolley, et al. Corrective Action Planning for Environmental Compliance Deficiencies. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/621548.

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Frey, Scott H. Cortical Mechanisms of Multi-step Action Planning. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada545175.

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Fight, Roger D., Alex Gicqueau, and Bruce R. Hartsough. Harvesting costs for management planning for ponderosa pine plantations. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1999. http://dx.doi.org/10.2737/pnw-gtr-467.

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Keasling, R. Hanford Action Tracking System release planning support documents. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/80947.

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Mulvehill, Alice, Michael Callaghan, and Clinton Hyde. Using Templates to Support Crisis Action Mission Planning. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada467190.

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Mulvehill, Alice M., and Joseph A. Caroli. JADE: A Tool for Rapid Crisis Action Planning. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada458570.

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Medina, Elizabeth A. Integrated planning for United Action in Phase Zero. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada471069.

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