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1

Santo, Michele, and Franco Frattolillo. "Time Costs in Actor Computations." JUCS - Journal of Universal Computer Science 11, no. (6) (2005): 850–73. https://doi.org/10.3217/jucs-011-06-0850.

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Actor programs give rise to computation structures that evolve dynamically and unpredictably both in shape and size. Therefore, their execution times cannot be statically determined. This paper describes an approach to the problem of estimating time costs of actor programs. The approach takes into account the constraints imposed both by the semantics and implementation of the model. In particular, implementation constraints can be captured and exploited to drastically reduce the number of computations generable by the program, thus simplifying the execution time evaluation. Moreover, execution
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Janssens, D. "Equivalence of computations in actor grammars." Theoretical Computer Science 109, no. 1-2 (1993): 145–80. http://dx.doi.org/10.1016/0304-3975(93)90067-4.

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Van, den Vonder Sam, Thierry Renaux, Bjarno Oeyen, Koster Joeri De, and Meuter Wolfgang De. "Tackling the Awkward Squad for Reactive Programming: The Actor-Reactor Model." Leibniz International Proceedings in Informatics (LIPIcs) 166 (November 6, 2020): 19:1–19:29. https://doi.org/10.4230/LIPIcs.ECOOP.2020.19.

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Reactive programming is a programming paradigm whereby programs are internally represented by a dependency graph, which is used to automatically (re)compute parts of a program whenever its input changes. In practice reactive programming can only be used for some parts of an application: a reactive program is usually embedded in an application that is still written in ordinary imperative languages such as JavaScript or Scala. In this paper we investigate this embedding and we distill "the awkward squad for reactive programming" as 3 concerns that are essential for real-world software
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Li, Huilin, Jiaqi Yang, and Ziquan Xiang. "A Fuzzy Linguistic Multi-Criteria Decision-Making Approach to Assess Emergency Suppliers." Sustainability 14, no. 20 (2022): 13114. http://dx.doi.org/10.3390/su142013114.

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Under the influence of COVID-19, various emergency supplies have repeatedly broken links, seriously affecting normal life and hindering the sustainable development of enterprises and society. Therefore, suitable emergency suppliers are crucial. To prioritize and select suitable emergency suppliers, key indicators were determined, and evaluation models were established based on the characteristics of epidemic situations and epidemic prevention materials. The application of the MCDM (multi-criteria decision-making) issue combining fuzzy SWARA (the stepwise weight assessment ratio analysis) and t
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Yanchin, Ivan A., and Oleg N. Petrov. "ON AUTONOMOUS AND SMART SHIPS: CHALLENGES AND BENEFITS FOR COMPUTE SCIENCES AND TELECOMMUNICATIONS." T-Comm 14, no. 11 (2020): 46–56. http://dx.doi.org/10.36724/2072-8735-2020-14-11-46-56.

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The paper is dedicated to the overview of the autonomous ship onboard control system functionality. The paper is dedicated to autonomous maritime navigation, i.e. to planning a safe and optimal route for an autonomous ship amid the absence of crew on board and to handling an autonomous ship when underway, ensuring seaworthiness and route correctness. Moreover, the paper describes communications of several autonomous ships and autonomous and ordinary ships to infer a collective decision on how to pass safely through a particular area. Since it is expected that autonomous ships are going to be e
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Tessereau, Charline, Reuben O’Dea, Stephen Coombes, and Tobias Bast. "Reinforcement learning approaches to hippocampus-dependent flexible spatial navigation." Brain and Neuroscience Advances 5 (January 2021): 239821282097563. http://dx.doi.org/10.1177/2398212820975634.

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Humans and non-human animals show great flexibility in spatial navigation, including the ability to return to specific locations based on as few as one single experience. To study spatial navigation in the laboratory, watermaze tasks, in which rats have to find a hidden platform in a pool of cloudy water surrounded by spatial cues, have long been used. Analogous tasks have been developed for human participants using virtual environments. Spatial learning in the watermaze is facilitated by the hippocampus. In particular, rapid, one-trial, allocentric place learning, as measured in the delayed-m
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Zelenskii, Aleksandr Aleksandrovich, and Andrei Armovich Gribkov. "Configuration of memory-oriented motion control system." Программные системы и вычислительные методы, no. 3 (March 2024): 12–25. http://dx.doi.org/10.7256/2454-0714.2024.3.71073.

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The paper investigates the possibilities of configuring the control cycle, i.e., determining the distribution of time intervals required for the execution of individual control operations across execution threads, which ensures the realizability of control. The object of research in this article are control systems with object-oriented architecture, assuming a combined vertical-horizontal integration of functional blocks and modules that distribute all control tasks among themselves. This architecture is realized by means of an actor instrumental model using metaprogramming. Such control syste
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FRÜHWIRTH, THOM. "Parallelism, concurrency and distribution in constraint handling rules: A survey." Theory and Practice of Logic Programming 18, no. 5-6 (2018): 759–805. http://dx.doi.org/10.1017/s1471068418000078.

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AbstractConstraint Handling Rules (CHR) is both an effective concurrent declarative programming language and a versatile computational logic formalism. In CHR, guarded reactive rules rewrite a multi-set of constraints. Concurrency is inherent, since rules can be applied to the constraints in parallel. In this comprehensive survey, we give an overview of the concurrent, parallel as well as distributed CHR semantics, standard and more exotic, that have been proposed over the years at various levels of refinement. These semantics range from the abstract to the concrete. They are related by formal
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Amado, Leonardo, Reuth Mirsky, and Felipe Meneguzzi. "Goal Recognition as Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (2022): 9644–51. http://dx.doi.org/10.1609/aaai.v36i9.21198.

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Most approaches for goal recognition rely on specifications of the possible dynamics of the actor in the environment when pursuing a goal. These specifications suffer from two key issues. First, encoding these dynamics requires careful design by a domain expert, which is often not robust to noise at recognition time. Second, existing approaches often need costly real-time computations to reason about the likelihood of each potential goal. In this paper, we develop a framework that combines model-free reinforcement learning and goal recognition to alleviate the need for careful, manual domain d
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Singh, Sunil K., Steven D. Pieper, Jethran Guinness, and Dan O. Popa. "Control and Coordination of Head, Eyes, and Facial Expressions of Virtual Actors in Virtual Environments." Presence: Teleoperators and Virtual Environments 5, no. 4 (1996): 402–15. http://dx.doi.org/10.1162/pres.1996.5.4.402.

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This paper addresses the modeling and computational issues associated with the control and coordination of head, eyes, and facial expressions of virtual human actors. The emphasis, as much as possible, is on using accurate physics-based computations for motion computation. Some key issues discussed in this work include the use of kinematics and inverse kinematics, trajectory planning, and the use of finite element methods to model soft tissue deformations.
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ADORNI, GIOVANNI, and AGOSTINO POGGI. "ABCDL: AN ACTOR-BASED CONCURRENT DISTRIBUTED LANGUAGE." International Journal on Artificial Intelligence Tools 03, no. 01 (1994): 61–78. http://dx.doi.org/10.1142/s0218213094000054.

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In this paper, we present a distributed object-oriented language, ABCDL, which has proved to be a suitable tool for the definition and implementation of distributed artificial intelligence systems. ABCDL is based on two different entities: actors and channels. An actor is a computational entity which performs some actions in response to incoming communications. An actor can also display a distributed behavior. In this case, it is composed of a set of other actors (distributed or not) synchronized by channels. A channel is a synchronization entity which sends a message to an (output) actor on t
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AGHA, GUL A., IAN A. MASON, SCOTT F. SMITH, and CAROLYN L. TALCOTT. "A foundation for actor computation." Journal of Functional Programming 7, no. 1 (1997): 1–72. http://dx.doi.org/10.1017/s095679689700261x.

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We present an actor language which is an extension of a simple functional language, and provide an operational semantics for this extension. Actor configurations represent open distributed systems, by which we mean that the specification of an actor system explicitly takes into account the interface with external components. We study the composability of such systems. We define and study various notions of testing equivalence on actor expressions and configurations. The model we develop provides fairness. An important result is that the three forms of equivalence, namely, convex, must, and may
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Janssens, D., M. Lens, and G. Rozenberg. "Computation graphs for actor grammars." Journal of Computer and System Sciences 46, no. 1 (1993): 60–90. http://dx.doi.org/10.1016/0022-0000(93)90049-3.

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Judson, Richard, Ann Richard, David Dix, et al. "ACToR — Aggregated Computational Toxicology Resource." Toxicology and Applied Pharmacology 233, no. 1 (2008): 7–13. http://dx.doi.org/10.1016/j.taap.2007.12.037.

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Zhang, Yu Ting, and Gui Fa Teng. "Formation and Computation of Relationship in Complex Social Networks." Applied Mechanics and Materials 427-429 (September 2013): 2687–90. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2687.

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Social networks provide customs with a platform for interaction and information sharing. In real social activities, whether individuals or businesses, have to rely on some relations to live, work or engage in commercial activities. The formation of relationship between different actor clusters based on the same actor in real social networks is described in the paper. The relationships and their types as well as relationship attributes in real complex social networks are analyzed in details. An index calledQinshuduto represent the degree of closeness between two actors in real complex social ne
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Doroshenko, А. Yu, and E. M. Tulika. "Parallel algorithms optimization using Actor Model." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 126–37. http://dx.doi.org/10.15407/pp2020.02-03.126.

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Introduced methods and instrumentation tools for actor model applied to block recursive algorithms optimization. Created formal model of distribution and coordination of the tasks in computation cluster as asynchronous reactive processes with message-passing represented with an actor model and choreography of actors. Created declarative definitions of algorithms which compiles to the system of actors. Proposed scheme of data placement in a cluster using prioritization of block-recursive operations to reduce idling time, data movement, with increased parallelism in situation of high-speed proce
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TRIPAKIS, STAVROS, CHRISTOS STERGIOU, CHRIS SHAVER, and EDWARD A. LEE. "A modular formal semantics for Ptolemy." Mathematical Structures in Computer Science 23, no. 4 (2013): 834–81. http://dx.doi.org/10.1017/s0960129512000278.

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Ptolemy‡ is an open-source and extensible modelling and simulation framework. It offers heterogeneous modeling capabilities by allowing different models of computation, both untimed and timed, to be composed hierarchically in an arbitrary fashion. This paper proposes a formal semantics for Ptolemy that is modular in the sense that atomic actors and their compositions are treated in a unified way. In particular, all actors conform to an executable interface that contains four functions: fire (produce outputs given current state and inputs); postfire (update state instantaneously); deadline (how
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18

Ahn, Hyun-Soo, and Rhonda Righter. "Multi-Actor Markov Decision Processes." Journal of Applied Probability 42, no. 1 (2005): 15–26. http://dx.doi.org/10.1239/jap/1110381367.

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We give a very general reformulation of multi-actor Markov decision processes and show that there is a tendency for the actors to take the same action whenever possible. This considerably reduces the complexity of the problem, either facilitating numerical computation of the optimal policy or providing a basis for a heuristic.
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Ahn, Hyun-Soo, and Rhonda Righter. "Multi-Actor Markov Decision Processes." Journal of Applied Probability 42, no. 01 (2005): 15–26. http://dx.doi.org/10.1017/s0021900200000024.

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We give a very general reformulation of multi-actor Markov decision processes and show that there is a tendency for the actors to take the same action whenever possible. This considerably reduces the complexity of the problem, either facilitating numerical computation of the optimal policy or providing a basis for a heuristic.
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Kersten, Alan, Kevin Darby, Megan Smithwick, and Julie Earles. "QUANTIFYING ASSOCIATIVE AND ATTENTIONAL INFLUENCES ON MEMORY FOR EVENTS." Innovation in Aging 8, Supplement_1 (2024): 820. https://doi.org/10.1093/geroni/igae098.2657.

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Abstract Aging is associated with declines in multiple aspects of the human memory system, including hippocampally-mediated associative abilities and frontally-mediated executive abilities. It is important to distinguish these different impacts of aging in order to identify possible causes of memory decline (e.g., Alzheimer’s disease vs. vascular dementia). In the present research, we used computational modeling to quantify the contributions of different cognitive processes to performance on a test of event memory, administered to 195 young adults and 195 healthy older adults. Participants vie
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Zhang, Hongjie, Zhenyu Chen, Hourui Deng, and Chaosheng Feng. "LazyAct: Lazy actor with dynamic state skip based on constrained MDP." PLOS ONE 20, no. 2 (2025): e0318778. https://doi.org/10.1371/journal.pone.0318778.

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Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the LazyAct algorithm. Thi
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Kholod, Ivan, Ilya Petukhov, and Andrey Shorov. "Cloud for Distributed Data Analysis Based on the Actor Model." Scientific Programming 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/1050293.

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This paper describes the construction of a Cloud for Distributed Data Analysis (CDDA) based on the actor model. The design uses an approach to map the data mining algorithms on decomposed functional blocks, which are assigned to actors. Using actors allows users to move the computation closely towards the stored data. The process does not require loading data sets into the cloud and allows users to analyze confidential information locally. The results of experiments show that the efficiency of the proposed approach outperforms established solutions.
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Liu, Hengwei, Ni Tian, Deng-Ao Song, and Long Zhang. "Digital Twin-Enabled Multi-Service Task Offloading in Vehicular Edge Computing Using Soft Actor-Critic." Electronics 14, no. 4 (2025): 686. https://doi.org/10.3390/electronics14040686.

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With the rapid development of vehicular networks, the computational capabilities and application scenarios of vehicles are becoming increasingly diverse, leading to a continuous emergence of complex computational tasks. Facing these tasks, a single vehicle node often struggles to handle them effectively; thus, it is necessary to offload tasks to other vehicles with computational resources through Vehicle-to-Vehicle (V2V) communication. However, due to the mobility of vehicles and the limitations of computing and communication resources, efficiently completing these complex computational tasks
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Koryl, Maciej. "Active resources concept of computation for enterprise software." Archives of Control Sciences 27, no. 2 (2017): 279–91. http://dx.doi.org/10.1515/acsc-2017-0018.

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Abstract Traditional computational models for enterprise software are still to a great extent centralized. However, rapid growing of modern computation techniques and frameworks causes that contemporary software becomes more and more distributed. Towards development of new complete and coherent solution for distributed enterprise software construction, synthesis of three well-grounded concepts is proposed: Domain-Driven Design technique of software engineering, REST architectural style and actor model of computation. As a result new resources-based framework arises, which after first cases of
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Bai, Jingpan, Yifan Zhao, Bozhong Yang, Houling Ji, Botao Liu, and Yunhao Chen. "Joint Optimization Strategy of Task Migration and Power Allocation Based on Soft Actor-Critic in Unmanned Aerial Vehicle-Assisted Internet of Vehicles Environment." Drones 8, no. 11 (2024): 693. http://dx.doi.org/10.3390/drones8110693.

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In recent years, the unmanned aerial vehicle-assisted internet of vehicles has been extensively studied to enhance communication and computation services in vehicular environments where ground infrastructures are limited or absent. However, due to the limited-service range and battery life of unmanned aerial vehicles, along with the high mobility of vehicles, an unmanned aerial vehicle cannot continuously cover and serve the same vehicle, leading to interruptions in vehicular application services. Therefore, this paper proposes a joint optimization strategy for task migration and power allocat
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Eze, Kelechi, Ahmed Abdelmoamen Ahmed, and Cajetan Akujuobi. "SecIoTComm: An Actor-Based Model and Framework for Secure IoT Communication." Sensors 22, no. 19 (2022): 7313. http://dx.doi.org/10.3390/s22197313.

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Internet of Things (IoT) ecosystems are becoming increasingly ubiquitous and heterogeneous, adding extra layers of complexity to secure communication and resource allocation. IoT computing resources are often located at the network edge and distributed across many heterogeneous sensors, actuators, and controller devices. This makes it challenging to provide the proper security mechanisms to IoT ecosystems in terms of manageability and maintainability. In an IoT ecosystem, computational resources are naturally distributed and shareable among their constituency, which creates an opportunity to d
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Huang, Zetian, Jianping Chen, Qiming Fu, Hongjie Wu, You Lu, and Zhen Gao. "HVAC Optimal Control with the Multistep-Actor Critic Algorithm in Large Action Spaces." Mathematical Problems in Engineering 2020 (October 27, 2020): 1–12. http://dx.doi.org/10.1155/2020/1386418.

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We propose an optimization method, named as the Multistep-Actor Critic (MAC) algorithm, which uses the value-network and the action-network, where the action-network is based on the deep Q-network (DQN). The proposed method is intended to solve the problem of energy conservation optimization of heating, ventilating, and air-conditioning (HVAC) system in a large action space, principally for the cases with high computation and convergence time. The method employs the multistep action-network and search tree to generate the original state and then selects the optimal state based on the value-net
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Janssens, D., and G. Rozenberg. "Actor grammars." Mathematical Systems Theory 22, no. 1 (1989): 75–107. http://dx.doi.org/10.1007/bf02088293.

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Alday, Phillip M., Matthias Schlesewsky, and Ina Bornkessel-Schlesewsky. "Towards a Computational Model of Actor-Based Language Comprehension." Neuroinformatics 12, no. 1 (2013): 143–79. http://dx.doi.org/10.1007/s12021-013-9198-x.

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Janssens, D. "Message passing and graph transformations: A model of actor computation." Microprocessing and Microprogramming 18, no. 1-5 (1986): 307–18. http://dx.doi.org/10.1016/0165-6074(86)90059-1.

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Heinzelmann, Rafael. "Making up performance: the construction of “performance” in venture capital firms’ portfolios." Qualitative Research in Accounting & Management 13, no. 4 (2016): 445–71. http://dx.doi.org/10.1108/qram-09-2015-0078.

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Purpose The purpose of this paper is to investigate performance measurement practices in venture capital firms. Specifically, the author examines how two organizations make complexity and uncertainty manageable by mobilizing performance measurement. This study draws on the framework of pragmatic constructivism (PC) (Nørreklit et al., 2016; Nørreklit et al., 2006, 2010), focusing on the integration between the four dimensions of PC, namely, facts, values, possibilities and communication. Design/methodology/approach The paper adopts a comparative case study methodology. Findings The findings sho
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Ren, Jie, Ling Gao, Xiaoming Wang, et al. "Adaptive Computation Offloading for Mobile Augmented Reality." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (2021): 1–30. http://dx.doi.org/10.1145/3494958.

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Augmented reality (AR) underpins many emerging mobile applications, but it increasingly requires more computation power for better machine understanding and user experience. While computation offloading promises a solution for high-quality and interactive mobile AR, existing methods work best for high-definition videos but cannot meet the real-time requirement for emerging 4K videos due to the long uploading latency. We introduce ACTOR, a novel computation-offloading framework for 4K mobile AR. To reduce the uploading latency, ACTOR dynamically and judiciously downscales the mobile video feed
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Dabkowski, Matthew F., Neng Fan, and Ronald Breiger. "Finding globally optimal macrostructure in multiple relation, mixed-mode social networks." Methodological Innovations 13, no. 3 (2020): 205979912096169. http://dx.doi.org/10.1177/2059799120961693.

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From the outset, computational sociologists have stressed leveraging multiple relations when blockmodeling social networks. Despite this emphasis, the majority of published research over the past 40 years has focused on solving blockmodels for a single relation. When multiple relations exist, a reductionist approach is often employed, where the relations are stacked or aggregated into a single matrix, allowing the researcher to apply single relation, often heuristic, blockmodeling techniques. Accordingly, in this article, we develop an exact procedure for the exploratory blockmodeling of multi
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Prihozhy, A. A. "Generation of shortest path search dataflow networks of actors for parallel multi-core implementation." Informatics 20, no. 2 (2023): 65–84. http://dx.doi.org/10.37661/1816-0301-2023-20-2-65-84.

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Objectives. The problem of parallelizing computations on multicore systems is considered. On the Floyd – Warshall blocked algorithm of shortest paths search in dense graphs of large size, two types of parallelism are compared: fork-join and network dataflow. Using the CAL programming language, a method of developing actors and an algorithm of generating parallel dataflow networks are proposed. The objective is to improve performance of parallel implementations of algorithms which have the property of partial order of computations on multicore processors.Methods. Methods of graph theory, algori
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Sirjani, Marjan, Boer Frank De, and Ali Movaghar. "Modular Verification of a Component-Based Actor Language." JUCS - Journal of Universal Computer Science 11, no. (10) (2005): 1695–717. https://doi.org/10.3217/jucs-011-10-1695.

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Rebeca is an actor­based language for modeling concurrent and distributed systems as a set of reactive objects which communicate via asynchronous message passing. Rebeca is extended to support synchronous communication, and at the same time components are introduced to encapsulate the tightly coupled reactive objects which may communicate by synchronous messages. This provide us a language for modeling globally asynchronous and locally synchronous systems. Components interact only by asynchronous messages. This feature and also the event-driven nature of the computation are exploited to introd
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Kuusela, Kaisu, and Jenni Partanen. "Plenty of Planning, Scanty Guidance: Evaluating the Implementation Degree of the General Master Plan in the City of Tampere, Finland." Sustainability 14, no. 22 (2022): 15197. http://dx.doi.org/10.3390/su142215197.

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Digitalizing cities has become increasingly complex and difficult to control despite advanced computational tools. The comprehension of emergent, dynamic agent–pattern interaction is limited. Studies show that the implementation of large-scale plans occasionally fails to meet expectations due to uncertainty in urban actor processes and institutions. Theories of complexity and resilience reflecting urban unpredictability and non-equilibrium enable understanding and planning methods for guiding actors. We explored empirically via close reading and spatial analyses the ability of the traditional
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Wolczko, Mario. "Actors: A model of concurrent computation in distributed systems." Science of Computer Programming 10, no. 2 (1988): 212–13. http://dx.doi.org/10.1016/0167-6423(88)90028-7.

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Lee, Edward A., Stephen Neuendorffer, and Michael J. Wirthlin. "Actor-Oriented Design of Embedded Hardware and Software Systems." Journal of Circuits, Systems and Computers 12, no. 03 (2003): 231–60. http://dx.doi.org/10.1142/s0218126603000751.

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In this paper, we argue that model-based design and platform-based design are two views of the same thing. A platform is an abstraction layer in the design flow. For example, a core-based architecture and an instruction set architecture are platforms. We focus on the set of designs induced by this abstraction layer. For example, the set of all ASICs based on a particular core-based architecture and the set of all x86 programs are induced sets. Hence, a platform is equivalently a set of designs. Model-based design is about using platforms with useful modeling properties to specify designs, and
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Mousavi Karimi, Mirhossein, Shahram Rahimi, Mohammad Nagahisarchoghaei, and Chaomin Luo. "A Multidimensional Game Theory–Based Group Decision Model for Predictive Analytics." Computational and Mathematical Methods 2022 (September 16, 2022): 1–14. http://dx.doi.org/10.1155/2022/5089021.

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An N-dimensional game theory–based model for multi-actor predictive analytics is presented in this article. The proposed model expands our previous work on two-dimensional group decision model for predictive analytics. The one-dimensional models are used for the problems where actors are interacting in a single issue space only. This is less than an ideal assumption since; in most cases, players’ strategies may depend on the dynamics of multiple issues when dealing with other players. In this work, the one-dimensional model is expanded to N-dimensional model by considering different positions,
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Menezes, Ariel Araujo Oliveira, Leandro Luiz de Almeida, Mário Augusto Pazoti, and Francisco Assis da Silva. "SEGURANÇA RESIDENCIAL INTELIGENTE: DETECÇÃO DE COMPORTAMENTO SUSPEITO POR MEIO DE ANÁLISE DE VÍDEO." COLLOQUIUM EXACTARUM 16, no. 1 (2024): 1–12. https://doi.org/10.5747/ce.2024.v16.e430.

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This work presents the development of a computational solution for intelligent home monitoring, designed to detect people, analyze their behaviors and issue alerts for abnormal activities. YOLOv8-Pose technology was used to detect people's key points and a modified MLP (Multilayer Perceptron) neural network with LSTM (Long Short-Term Memory) characteristics was used to classify behavior. The training dataset was created by recording videos using a smartphone strategically positioned to capture the frontal area of a residence. This resulted in 154 video clips where the actor exhibited normal be
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Putro, Heru Purboyo Hidayat, Pradono Pradono, and Titus Hari Setiawan. "Development of Multi-Actor Multi-Criteria Analysis Based on the Weight of Stakeholder Involvement in the Assessment of Natural–Cultural Tourism Area Transportation Policies." Algorithms 14, no. 7 (2021): 217. http://dx.doi.org/10.3390/a14070217.

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Multi-actor multi-criteria analysis (MAMCA) was developed with a process involving the participation of various stakeholders. Stakeholders express various criteria as measures for the achievement of their respective goals. In general, the assessment of each stakeholder is considered to have the same weight. In reality, the weight of each stakeholder’s involvement in policy decision making is not the same. For example, the government’s assessment weight will be different from those of local business actors. In this study, the authors developed a multi-actor multi-criteria analysis method by add
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Joel, Daphna, Yael Niv, and Eytan Ruppin. "Actor–critic models of the basal ganglia: new anatomical and computational perspectives." Neural Networks 15, no. 4-6 (2002): 535–47. http://dx.doi.org/10.1016/s0893-6080(02)00047-3.

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Yu, Hanfei, Jacob Carter, Hao Wang, Devesh Tiwari, Jian Li, and Seung-Jong Park. "Nitro: Boosting Distributed Reinforcement Learning with Serverless Computing." Proceedings of the VLDB Endowment 18, no. 1 (2024): 66–79. https://doi.org/10.14778/3696435.3696441.

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Deep reinforcement learning (DRL) has demonstrated significant potential in various applications, including gaming AI, robotics, and system scheduling. DRL algorithms produce, sample, and learn from training data online through a trial-and-error process, demanding considerable time and computational resources. To address this, distributed DRL algorithms and paradigms have been developed to expedite training using extensive resources. Through carefully designed experiments, we are the first to observe that strategically increasing the actor-environment interactions by spawning more concurrent a
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Fornari, Marcelo Batista, Fernanda Aparecida Meglhioratti, and Daniela Frigo Ferraz. "EXPLORING COMPUTATIONAL THINKING: AN ANALYSIS WITH SCIENCE TEACHERS FROM THE PERSPECTIVE OF ACTOR-NETWORK THEORY." ARACÊ 7, no. 1 (2025): 661–86. https://doi.org/10.56238/arev7n1-039.

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Science Teaching has evolved continuously, driven by several factors, among which the use of Digital Technologies (DT) stands out. Computational Thinking (CP), in turn, can contribute to a deeper understanding of these advances. In this context, this research aims to describe, analyze and discuss, based on the Actor-Network Theory (ART), the results on the perception of computational thinking by a group of teachers who participated in the training course "Computational Thinking in Science Teaching". This course, promoted by the State University of Western Paraná, through four meetings and 25-h
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45

Zou, Wei, Haitao Yu, Boran Yang, Aohui Ren, and Wei Liu. "An Improved Soft Actor–Critic Task Offloading and Edge Computing Resource Allocation Algorithm for Image Segmentation Tasks in the Internet of Vehicles." World Electric Vehicle Journal 16, no. 7 (2025): 353. https://doi.org/10.3390/wevj16070353.

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This paper addresses the challenge of offloading resource-intensive image segmentation tasks and allocating computing resources within the Internet of Vehicles (IoV) using edge-based AI. To overcome the limitations of onboard computing in smart vehicles, this study develops an efficient edge computing resource allocation system. The core of this system is an improved model-free soft actor–critic (iSAC) algorithm, which is enhanced by incorporating prioritized experience replay (PER). This PER-iSAC algorithm is designed to accelerate the learning process, maintain stability, and improve the eff
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Wang, Hui, Peng Zhang, and Quan Liu. "An Actor-critic Algorithm Using Cross Evaluation of Value Functions." IAES International Journal of Robotics and Automation (IJRA) 7, no. 1 (2018): 39. http://dx.doi.org/10.11591/ijra.v7i1.pp39-47.

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In order to overcome the difficulty of learning a global optimal policy caused by maximization bias in a continuous space, an actor-critic algorithm for cross evaluation of double value function is proposed. Two independent value functions make the critique closer to the real value function. And the actor is guided by a crossover function to choose its optimal actions. Cross evaluation of value functions avoids the policy jitter phenomenon behaved by greedy optimization methods in continuous spaces. The algorithm is more robust than CACLA learning algorithm, and the experimental results show t
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Zhan, Justin, and Xing Fang. "A computational framework for detecting malicious actors in communities." International Journal of Information Privacy, Security and Integrity 2, no. 1 (2014): 1. http://dx.doi.org/10.1504/ijipsi.2014.062863.

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Lombardo, Gianfranco, and Agostino Poggi. "ActorNode2Vec: An Actor-based solution for Node Embedding over large networks." Intelligenza Artificiale 14, no. 1 (2020): 103–14. http://dx.doi.org/10.3233/ia-190038.

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The application of Machine Learning techniques over networks, such as prediction tasks over nodes and edges, is becoming often crucial in the analysis of Complex systems in a wide range of research fields. One of the enabling technologies in that sense is represented by Node Embedding, which enables us to learn features automatically over the network. Among the different approaches proposed in the literature, the most promising are DeepWalk and Node2Vec, where the embedding is computed by combining random walks and neural language models. However, characteristic limitations with these techniqu
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Judson, Richard S., Matthew T. Martin, Peter Egeghy, et al. "Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System." International Journal of Molecular Sciences 13, no. 2 (2012): 1805–31. http://dx.doi.org/10.3390/ijms13021805.

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Konstantopoulos, Charalampos, Grammati Pantziou, Ioannis E. Venetis, and Damianos Gavalas. "Efficient event handling in Wireless Sensor and Actor Networks: An on-line computation approach." Journal of Network and Computer Applications 75 (November 2016): 181–99. http://dx.doi.org/10.1016/j.jnca.2016.08.025.

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