Academic literature on the topic 'Three ways adaptive systems fail'

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Journal articles on the topic "Three ways adaptive systems fail"

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Black, Simon A., Jim J. Groombridge, and Carl G. Jones. "Using Better Management Thinking to Improve Conservation Effectiveness." ISRN Biodiversity 2013 (June 20, 2013): 1–8. http://dx.doi.org/10.1155/2013/784701.

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The current paradigm for effective management in biodiversity conservation programmes is dominated by three broad streams of thinking: (i) traditional “command-and-control” approaches which are commonly observed in, but are not exclusive to, bureaucratic government-administered conservation, (ii) more recent notions of “adaptive management,” and (iii) emerging “good practice” management frameworks for conservation. Other variations on these themes suggested by the literature tend to endorse additions or enhancement to one or more of these approaches. We argue that instead a more fundamental al
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Diaz Ruiz, Carlos A., Jonathan J. Baker, Katy Mason, and Kieran Tierney. "Market-scanning and market-shaping: why are firms blindsided by market-shaping acts?" Journal of Business & Industrial Marketing 35, no. 9 (2020): 1389–401. http://dx.doi.org/10.1108/jbim-03-2019-0130.

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Purpose This paper aims to investigate two seminal market-scanning frameworks – the five-forces analysis and PESTEL environmental scanning tool – to assess their readiness for anticipating market-shaping acts. Design/methodology/approach Drawing on the market-shaping literature that conceptualizes markets as complex adaptive systems, this conceptual paper interrogates the underlying assumptions and “blind spots” in two seminal market-scanning frameworks. The paper showcases three illustrative vignettes in which non-industry actors catalyzed market change in ways that these market-scanning fram
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CHEN, TSUNG-TENG, and CHENG-SEEN HO. "A PROPOSED ARCHITECTURE FOR SELF-ADAPTIVE EXPERT SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 19, no. 02 (2009): 213–48. http://dx.doi.org/10.1142/s0218194009004179.

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The pre-built knowledge of traditional expert systems is only capable of limited responses to changes in the operating environment. If the data input is imperfect, a traditional system may fail to reach any rational conclusions. In this paper, we introduce the concept of self-adaptability to the inference process of an expert system, and propose a model that is capable of handling unexpected user input effectively and efficiently. Such a system can formulate operational knowledge on the move for inference. With this self-adaptive capability, an expert system can reach useful conclusions, even
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Endsley, Mica R. "Level of Automation: Integrating Humans and Automated Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (1997): 200–204. http://dx.doi.org/10.1177/107118139704100146.

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Automation is being implemented in a variety of systems in an effort to improve performance and overcome high operator workload. Current automation approaches may underlie these problems by reducing operator situation awareness. Evidence suggests that in many ways current automation approaches fail to achieve the desired reduction in workload, yet the prevailing approach to system design is still to automate to reduce workload. An alternate design approach is presented that focuses on utilizing intermediate levels of automation (LOA) that integrate the human and the automated system in substan
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Barua, Prabal, Syed Hafizur Rahman, Suman Barua, and Ismail M. M. Rahman. "CLIMATE CHANGE VULNERABILITY AND RESPONSES OF FISHERFOLK COMMUNITIES IN THE SOUTH-EASTERN COAST OF BANGLADESH." Water Conservation and Management 4, no. 1 (2020): 20–31. http://dx.doi.org/10.26480/wcm.01.2020.20.31.

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Climate change is an ongoing threat across the earth–especially those who depend on fishing. This study aims to understand how fishery-dependent communities in the South-Eastern coast of Bangladesh build resilience against environmental stresses, and in what ways their strategies sometimes fail. A composite index approach has been used to calculate livelihood vulnerability. Results reveal that exposure to floods and cyclones, sensitivity and lack of adaptive capacity concerning physical, natural, and financial capital and diverse livelihood strategies construe livelihood vulnerability in diffe
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JONG, STEVEN DE, KARL TUYLS, and KATJA VERBEECK. "Fairness in multi-agent systems." Knowledge Engineering Review 23, no. 2 (2008): 153–80. http://dx.doi.org/10.1017/s026988890800132x.

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AbstractMulti-agent systems are complex systems in which multiple autonomous entities, called agents, cooperate in order to achieve a common or personal goal. These entities may be computer software, robots, and also humans. In fact, many multi-agent systems are intended to operate in cooperation with or as a service for humans. Typically, multi-agent systems are designed assuming perfectly rational, self-interested agents, according to the principles of classical game theory. Recently, such strong assumptions have been relaxed in various ways. One such way is explicitly including principles d
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Curşeu, Petru Lucian. "Emergent States in Virtual Teams: A Complex Adaptive Systems Perspective." Journal of Information Technology 21, no. 4 (2006): 249–61. http://dx.doi.org/10.1057/palgrave.jit.2000077.

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Research on virtual teams (VTs) has proliferated in the last decades. However, few clear and consistent theoretical attempts to integrate the literature on VTs in a systemic way have emerged. This paper uses the complex adaptive systems (CAS) perspective to integrate the literature on emergent states in VTs. According to this general framework, VT effectiveness depends on the interaction between three levels of dynamics: local, global and contextual. Team cognition, trust, cohesion and conflict are described as states that emerge from the interactions among the VT members and as parts of globa
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KLOOS, REINHOLD, ROLF REINEMA, and MICHAEL SCHROEDER. "ADAPTIVE TRADERS FOR COMMUNICATION IN COOPERATIVE ROOMS." International Journal of Information Technology & Decision Making 01, no. 03 (2002): 401–21. http://dx.doi.org/10.1142/s0219622002000269.

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In distributed systems, traders mediate between clients and service providers. This paper introduces a trading model, which supports multiagent systems (MAS) and goes beyond simple trading in three ways: (a) Service composition — The trader composes complex services of the current service offers. During the composition, it checks the availability of the service offers. (b) Use of group agents — Group agents represent a group of agents with their individual policies and other context information. The trader can use the group agent's information for a pre-selection of service offers. (c) Adaptab
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Nikonova, A. A. "Synthesis of Adaptive Systems in an Unstable Environment." MIR (Modernization. Innovation. Research) 11, no. 2 (2020): 162–78. http://dx.doi.org/10.18184/2079-4665.2020.11.2.162-178.

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Purpose: the article is devoted to the ways to create adaptive production systems, taking into account the experience of the economies that have successfully emerged from the terminal crisis. One of the tasks is to improve the adaptability of the production system or, at the best, of the socio-economic system as a whole, in a now situation of uncertainty and unpredictable social, technological, structural, economic dynamics.Methods: an approach is based on the provisions of systemic economic theory, specifically on the representation of the socio-economic system in the form of a tetrad, compri
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Rodríguez-Gracia, Diego, José A. Piedra-Fernández, Luis Iribarne, et al. "Microservices and Machine Learning Algorithms for Adaptive Green Buildings." Sustainability 11, no. 16 (2019): 4320. http://dx.doi.org/10.3390/su11164320.

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In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such as the proliferation of microservices solutions, have allowed software architects to experiment and develop new ways of building open and adaptable computer systems at runtime. Home automation, intelligent buildings, robotics, graphical user interfaces are some of the social atmosphere environments s
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