Results for 'Agent-based computational economics'

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  1. Agent-Based Computational Economics: A Constructive Approach to Economic Theory.Leigh Tesfatsion - 2006 - In Leigh Tesfatsion & Kenneth L. Judd (eds.), Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics. Elsevier.
    Economies are complicated systems encompassing micro behaviors, interaction patterns, and global regularities. Whether partial or general in scope, studies of economic systems must consider how to handle difficult real-world aspects such as asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple equilibria. Recent advances in analytical and computational tools are permitting new approaches to the quantitative study of these aspects. One such approach is Agent-based Computational Economics (ACE), the computational study (...)
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  2. Agent-Based Models and Simulations in Economics and Social Sciences: From Conceptual Exploration to Distinct Ways of Experimenting.Franck Varenne & Denis Phan - 2008 - In Nuno David, José Castro Caldas & Helder Coelho (eds.), Proceedings of the 3rd EPOS congress (Epistemological Perspectives On Simulations). Lisbon: pp. 51-69.
    Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological tools so as to show to what precise extent each author is right when he focuses on some empirical, instrumental or conceptual significance of his model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity, (...)
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  3. Agent-Based Modeling: The Right Mathematics for the Social Sciences?Paul L. Borrill & Leigh Tesfatsion - 2011 - In J. B. Davis & D. W. Hands (eds.), Elgar Companion to Recent Economic Methodology. Edward Elgar Publishers. pp. 228.
    This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research. The typical goals of ABM social science researchers are discussed along with the culture-dish nature of their computer experiments. The applicability of ABM for science more generally is also considered, with special attention to physics. Finally, two distinct types of ABM applications are summarized in order to illustrate concretely (...)
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  4. Modeling Economic Systems as Locally-Constructive Sequential Games.Leigh Tesfatsion - 2017 - Journal of Economic Methodology 24 (4):1-26.
    Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling (...)
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  5. The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs.Nuno David, Jaime Sichman & Helder Coleho - 2005 - Journal of Artificial Societies and Social Simulation 8 (4).
    The classical theory of computation does not represent an adequate model of reality for simulation in the social sciences. The aim of this paper is to construct a methodological perspective that is able to conciliate the formal and empirical logic of program verification in computer science, with the interpretative and multiparadigmatic logic of the social sciences. We attempt to evaluate whether social simulation implies an additional perspective about the way one can understand the concepts of program and computation. We demonstrate (...)
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  6. The Structure and Logic of Interdisciplinary Research in Agent-Based Social Simulation.Nuno David, Maria Marietto, Jaime Sichman & Helder Coelho - 2004 - Journal of Artificial Societies and Social Simulation 7 (3).
    This article reports an exploratory survey of the structure of interdisciplinary research in Agent-Based Social Simulation. One hundred and ninety six researchers participated in the survey completing an on-line questionnaire. The questionnaire had three distinct sections, a classification of research domains, a classification of models, and an inquiry into software requirements for designing simulation platforms. The survey results allowed us to disambiguate the variety of scientific goals and modus operandi of researchers with a reasonable level of detail, and (...)
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  7.  75
    Polarization and Belief Dynamics in the Black and White Communities: An Agent-Based Network Model From the Data.Patrick Grim, Stephen B. Thomas, Stephen Fisher, Christopher Reade, Daniel J. Singer, Mary A. Garza, Craig S. Fryer & Jamie Chatman - 2012 - In Christoph Adami, David M. Bryson, Charles Offria & Robert T. Pennock (eds.), Artificial Life 13. MIT Press.
    Public health care interventions—regarding vaccination, obesity, and HIV, for example—standardly take the form of information dissemination across a community. But information networks can vary importantly between different ethnic communities, as can levels of trust in information from different sources. We use data from the Greater Pittsburgh Random Household Health Survey to construct models of information networks for White and Black communities--models which reflect the degree of information contact between individuals, with degrees of trust in information from various sources correlated with (...)
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  8. Information, Computation, Cognition. Agency-Based Hierarchies of Levels.Gordana Dodig-Crnkovic - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Zurich: Springer. pp. 139-159.
    This paper connects information with computation and cognition via concept of agents that appear at variety of levels of organization of physical/chemical/cognitive systems – from elementary particles to atoms, molecules, life-like chemical systems, to cognitive systems starting with living cells, up to organisms and ecologies. In order to obtain this generalized framework, concepts of information, computation and cognition are generalized. In this framework, nature can be seen as informational structure with computational dynamics, where an (info-computational) agent is (...)
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  9. PM2.5-Related Health Economic Benefits Evaluation Based on Air Improvement Action Plan in Wuhan City, Middle China.Zhiguang Qu, Xiaoying Wang, Fei Li, Yanan Li, Xiyao Chen & Min Chen - 2020 - International Journal of Environmental Research and Public Health 17:620.
    On the basis of PM2.5 data of the national air quality monitoring sites, local population data, and baseline all-cause mortality rate, PM2.5-related health economic benefits of the Air Improvement Action Plan implemented in Wuhan in 2013–2017 were investigated using health-impact and valuation functions. Annual avoided premature deaths driven by the average concentration of PM2.5 decrease were evaluated, and the economic benefits were computed by using the value of statistical life (VSL) method. Results showed that the number of avoided premature deaths (...)
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  10. Nature as a Network of Morphological Infocomputational Processes for Cognitive Agents.Gordana Dodig Crnkovic - 2017 - Eur. Phys. J. Special Topics 226 (2):181-195.
    This paper presents a view of nature as a network of infocomputational agents organized in a dynamical hierarchy of levels. It provides a framework for unification of currently disparate understandings of natural, formal, technical, behavioral and social phenomena based on information as a structure, differences in one system that cause the differences in another system, and computation as its dynamics, i.e. physical process of morphological change in the informational structure. We address some of the frequent misunderstandings regarding the natural/morphological (...)
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  11. ‘Restricted’ and ‘General’ Complexity Perspectives on Social Bilingualisation and Language Shift Processes.Albert Bastardas-Boada (ed.) - 2019 - Cham, Switzerland: Springer Nature Switzerland AG.
    Historical processes exert an influence on the current state and evolution of situations of language contact, brought to bear from different domains, the economic and the political, the ideological and group identities, geo-demographics, and the habits of inter-group use. Clearly, this kind of phenomenon requires study from a complexical and holistic perspective in order to accommodate the variety of factors that belong to different levels and that interrelate with one another in the evolving dynamic of human languaging. Therefore, there is (...)
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  12. Computer Models of Constitutive Social Practices.Richard Evans - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 389-409.
    Research in multi-agent systems typically assumes a regulative model of social practice. This model starts with agents who are already capable of acting autonomously to further their individual ends. A social practice, according to this view, is a way of achieving coordination between multiple agents by restricting the set of actions available. For example, in a world containing cars but no driving regulations, agents are free to drive on either side of the road. To prevent collisions, we introduce driving (...)
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  13. Artificial Evil and the Foundation of Computer Ethics.Luciano Floridi & J. W. Sanders - 2001 - Springer Netherlands.
    Moral reasoning traditionally distinguishes two types of evil:moral (ME) and natural (NE). The standard view is that ME is the product of human agency and so includes phenomena such as war,torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in cyberspace, (...)
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  14.  62
    Introducing Argument & Computation.Guillermo R. Simari, Chris Reed, Iyad Rahwan & Floriana Grasso - 2010 - Argument and Computation 1 (1):1-5.
    Over the past decade or so, a new interdisciplinary field has emerged in the ground between, on the one hand, computer science – and artificial intelligence in particular – and, on the other, the area of philosophy concentrating on the language and structure of argument. There are now hundreds of researchers worldwide who would consider themselves a part of this nascent community. Various terms have been proposed for the area, including "Computational Dialectics," "Argumentation Technology," and "Argument-based Computing," but (...)
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  15. Ontology-Based Fusion of Sensor Data and Natural Language.Erik Thomsen & Barry Smith - 2018 - Applied Ontology 13 (4):295-333.
    We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new kinds of (...)
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  16. Cognition as Embodied Morphological Computation.Gordana Dodig-Crnkovic - 2018 - In Vincent C. Müller (ed.), Philosophy and Theory of Artificial Intelligence 2017. Springer.
    Cognitive science is considered to be the study of mind (consciousness and thought) and intelligence in humans. Under such definition variety of unsolved/unsolvable problems appear. This article argues for a broad understanding of cognition based on empirical results from i.a. natural sciences, self-organization, artificial intelligence and artificial life, network science and neuroscience, that apart from the high level mental activities in humans, includes sub-symbolic and sub-conscious processes, such as emotions, recognizes cognition in other living beings as well as extended (...)
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  17.  84
    Cloud Based Bookmark Manager.A. Sulaiman Suit - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):128-138.
    Cloud computing is the web-based empowering agent for sharing of mechanical infrastructural assets, programming, and computerized content, permitting them Infrastructure, Platforms, Software) to be offered on a compensation-for-use premise, similar to any utility assistance. Dramatic development in Computer capacities, the extra-conventional pace of development in advanced substance utilization, trailed by unstable development of uses have brought forth the beginning of Cloud Computing. The bookmarks which are saved offline can be only accessed by the specific system. The bookmarks are (...)
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  18.  28
    Artificial Evil and the Foundation of Computer Ethics.L. Floridi & J. Sanders - 2000 - Etica E Politica 2 (2).
    Moral reasoning traditionally distinguishes two types of evil: moral and natural. The standard view is that ME is the product of human agency and so includes phenomena such as war, torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in cyberspace, (...)
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  19. Reason-Based Rationalization.Franz Dietrich & Christian List - manuscript
    [This version of the paper has been superseded by "Reason-based choice and context-dependence: An explanatory framework", forthcoming in Economics & Philosophy.] -/- We introduce a “reason-based” way of rationalizing an agent’s choice behaviour, which explains choices by specifying which properties of the options or choice context the agent cares about (the “motivationally salient properties”) and how he or she cares about these properties (the “fundamental preference relation”). Reason-based rationalizations can explain non-classical choice behaviour, including (...)
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  20.  55
    The Role of Mental Rotation in TetrisTM Gameplay: An ACT-R Computational Cognitive Model.Antonio Lieto - 2022 - Cognitive Systems Research 40 (1):1-38.
    The mental rotation ability is an essential spatial reasoning skill in human cognition and has proven to be an essential predictor of mathematical and STEM skills, critical and computational thinking. Despite its importance, little is known about when and how mental rotation processes are activated in games explicitly targeting spatial reasoning tasks. In particular, the relationship between spatial abilities and TetrisTM has been analysed several times in the literature. However, these analyses have shown contrasting results between the effectiveness of (...)
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  21. Philosophy of Probability: Foundations, Epistemology, and Computation.Sylvia Wenmackers - 2011 - Dissertation, University of Groningen
    This dissertation is a contribution to formal and computational philosophy. -/- In the first part, we show that by exploiting the parallels between large, yet finite lotteries on the one hand and countably infinite lotteries on the other, we gain insights in the foundations of probability theory as well as in epistemology. Case 1: Infinite lotteries. We discuss how the concept of a fair finite lottery can best be extended to denumerably infinite lotteries. The solution boils down to the (...)
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  22.  44
    Use of Cloud Computing in University Libraries In View of the Technology Acceptance Model.Ahmewd L. Ferdi - 2017 - Iraqi Journal for Information 8 (12):98-131.
    Cloud computing is considered as a new type of technology, in fact, it is an extension of the information technology's developments which are based on the pooling of resources and infrastructure to provide services depend on using the cloud, in the sense that instead of these services and resources exist on local servers or personal devices, they are gathered in the cloud and be shared on the Internet. This technology has achieved an economic success no one can deny it (...)
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  23.  86
    Body Schema in Autonomous Agents.Zachariah A. Neemeh & Christian Kronsted - 2021 - Journal of Artificial Intelligence and Consciousness 1 (8):113-145.
    A body schema is an agent's model of its own body that enables it to act on affordances in the environment. This paper presents a body schema system for the Learning Intelligent Decision Agent (LIDA) cognitive architecture. LIDA is a conceptual and computational implementation of Global Workspace Theory, also integrating other theories from neuroscience and psychology. This paper contends that the ‘body schema' should be split into three separate functions based on the functional role of consciousness (...)
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  24. The Present and Future of Judgement Aggregation Theory. A Law and Economics Perspective.Philippe Mongin - forthcoming - In Jean-François Laslier, Hervé Moulin, Remzi Sanver & William S. Zwicker (eds.), The Future of Economic Design. New York: Springer.
    This chapter briefly reviews the present state of judgment aggregation theory and tentatively suggests a future direction for that theory. In the review, we start by emphasizing the difference between the doctrinal paradox and the discursive dilemma, two idealized examples which classically serve to motivate the theory, and then proceed to reconstruct it as a brand of logical theory, unlike in some other interpretations, using a single impossibility theorem as a key to its technical development. In the prospective part, having (...)
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  25. Agent-Based Modeling and the Fallacies of Individualism.Brian Epstein - 2011 - In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. Routledge. pp. 115444.
    Agent-​​based modeling is showing great promise in the social sciences. However, two misconceptions about the relation between social macroproperties and microproperties afflict agent-based models. These lead current models to systematically ignore factors relevant to the properties they intend to model, and to overlook a wide range of model designs. Correcting for these brings painful trade-​​offs, but has the potential to transform the utility of such models.
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  26. Value Commitment, Resolute Choice, and the Normative Foundations of Behavioural Welfare Economics.C. Tyler DesRoches - 2020 - Journal of Applied Philosophy 37 (4):562-577.
    Given the endowment effect, the role of attention in decision-making, and the framing effect, most behavioral economists agree that it would be a mistake to accept the satisfaction of revealed preferences as the normative criterion of choice. Some have suggested that what makes agents better off is not the satisfaction of revealed preferences, but ‘true’ preferences, which may not always be observed through choice. While such preferences may appear to be an improvement over revealed preferences, some philosophers of economics (...)
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  27.  94
    An Ontological Account of the Action Theory of Economic Exchanges.Daniele Porello, Giancarlo Guizzardi, Tiago Prince Sales, Glenda C. M. Amaral & Nicola Guarino - 2020 - In Proceedings of 14th International Workshop on Value Modelling and Business Ontologies, Brussels, Belgium, January 16-17, 2020. pp. 157-169.
    In recent years, there has been an increasing interest in thedevelopment of ontologically well-founded conceptual models for Information Systems in areas such as Service Management, Accounting Information Systems and Financial Reporting. Economic exchanges are central phenomena in these areas. For this reason, they occupy a prominent position in modelling frameworks such as the REA (Resource-EventAction) ISO Standard as well as the FIBO (Financial Industry BusinessOntology). In this paper, we begin a well-founded ontological analysisof economic exchanges inspired by a recent ontological (...)
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  28.  26
    Agent-Based Models as Etio-Prognostic Explanations.Olaf Dammann - 2021 - Argumenta 7 (1):19-38.
    Agent-based models (ABMs) are one type of simulation model used in the context of the COVID-19 pandemic. In contrast to equation-based models, ABMs are algorithms that use individual agents and attribute changing characteristics to each one, multiple times during multiple iterations over time. This paper focuses on three philosophical aspects of ABMs as models of causal mechanisms, as generators of emergent phenomena, and as providers of explanation. Based on my discussion, I conclude that while ABMs cannot (...)
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  29. Cycles of Conflict.Kent McClelland - 2014 - Sociological Theory 32 (2):100-127.
    In a new theory of conflict escalation, Randall Collins (2012) engages critical issues of violent conflict and presents a compellingly plausible theoretical description based on his extensive empirical research. He also sets a new challenge for sociology: explaining the time dynamics of social interaction. However, despite heavy reliance on the quantitative concept of positive feedback loops in his theory, Collins presents no mathematical specification of the dynamic relationships among his variables. This article seeks to fill that gap by offering (...)
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  30.  48
    Diversity and Democracy: Agent-Based Modeling in Political Philosophy.Bennett Holman, William Berger, Daniel J. Singer, Patrick Grim & Aaron Bramson - 2018 - Historical Social Research 43:259-284.
    Agent-based models have played a prominent role in recent debates about the merits of democracy. In particular, the formal model of Lu Hong and Scott Page and the associated “diversity trumps ability” result has typically been seen to support the epistemic virtues of democracy over epistocracy (i.e., governance by experts). In this paper we first identify the modeling choices embodied in the original formal model and then critique the application of the Hong-Page results to philosophical debates on the (...)
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  31. An Agent-Based Approach to the Problem of Evil.Linda Zagzebski - 1996 - International Journal for Philosophy of Religion 39 (3):127 - 139.
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  32. Qualified Agent and Agent-Based Virtue Ethics and the Problems of Right Action.Jason Kawall - 2014 - In Stan van Hooft & Nafsika Athanassoulis (eds.), The Handbook of Virtue Ethics. Acumen Publishing.
    An on-going question for virtue ethics is whether it stands as a truly distinctive approach to ethics. In particular, there has been much discussion of whether virtue ethics can provide a viable understanding of right action, one that is a genuine rival to familiar consequentialist and deontological accounts. In this chapter I examine two prominent approaches to virtue ethics, (i) qualified agent and (ii) agent-based virtue ethics, and consider whether either can provide an adequate account of right (...)
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  33.  43
    Assessing Recent Agent-Based Accounts of Right Action.Graham Renz - 2020 - Ethical Theory and Moral Practice 23 (2):433-444.
    Agent-based virtue ethical theories must deal with the problem of right action: if an action is right just in case it expresses a virtuous motive, then how can an agent perform the right action but for the wrong reason, or from a vicious motive? Some recent agent-based accounts purport to answer this challenge and two other related problems. Here I assess these accounts and show them to be inadequate answers to the problem of right action. (...)
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  34.  77
    Formalizing UMLS Relations Using Semantic Partitions in the Context of a Task-Based Clinical Guidelines Model.Anand Kumar, Matteo Piazza, Barry Smith, Silvana Quaglini & Mario Stefanelli - 2004 - In IFOMIS Reports. Saarbrücken: IFOMIS.
    An important part of the Unified Medical Language System (UMLS) is its Semantic Network, consisting of 134 Semantic Types connected to each other by edges formed by one or more of 54 distinct Relation Types. This Network is however for many purposes overcomplex, and various groups have thus made attempts at simplification. Here we take this work further by simplifying the relations which involve the three Semantic Types – Diagnostic Procedure, Laboratory Procedure and Therapeutic or Preventive Procedure. We define operators (...)
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  35. Identifying and Individuating Cognitive Systems: A Task-Based Distributed Cognition Alternative to Agent-Based Extended Cognition.Jim Davies & Kourken Michaelian - 2016 - Cognitive Processing 17 (3):307-319.
    This article argues for a task-based approach to identifying and individuating cognitive systems. The agent-based extended cognition approach faces a problem of cognitive bloat and has difficulty accommodating both sub-individual cognitive systems ("scaling down") and some supra-individual cognitive systems ("scaling up"). The standard distributed cognition approach can accommodate a wider variety of supra-individual systems but likewise has difficulties with sub-individual systems and faces the problem of cognitive bloat. We develop a task-based variant of distributed cognition designed (...)
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  36. Computational Entrepreneurship: From Economic Complexities to Interdisciplinary Research.Quan-Hoang Vuong - 2019 - Problems and Perspectives in Management 17 (1):117-129.
    The development of technology is unbelievably rapid. From limited local networks to high speed Internet, from crude computing machines to powerful semi-conductors, the world had changed drastically compared to just a few decades ago. In the constantly renewing process of adapting to such an unnaturally high-entropy setting, innovations as well as entirely new concepts, were often born. In the business world, one such phenomenon was the creation of a new type of entrepreneurship. This paper proposes a new academic discipline of (...)
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  37.  66
    Cultural Evolution of Sustainable Behaviors: Pro-Environmental Tipping Points in an Agent-Based Model.Roope Oskari Kaaronen & Nikita Strelkovskii - 2020 - One Earth 2 (1):85-97.
    To reach sustainability transitions, we must learn to leverage social systems into tipping points, where societies exhibit positive-feedback loops in the adoption of sustainable behavioral and cultural traits. However, much less is known about the most efficient ways to reach such transitions or how self-reinforcing systemic transformations might be instigated through policy. We employ an agent-based model to study the emergence of social tipping points through various feedback loops that have been previously identified to constitute an ecological approach (...)
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  38. Grounding Knowledge and Normative Valuation in Agent-Based Action and Scientific Commitment.Catherine Elizabeth Kendig - 2018 - In Hauke Riesch, Nathan Emmerich & Steven Wainwright (eds.), Philosophies and Sociologies of Bioethics: Crossing the Divides. Cham, Switzerland: pp. 41-64.
    Philosophical investigation in synthetic biology has focused on the knowledge-seeking questions pursued, the kind of engineering techniques used, and on the ethical impact of the products produced. However, little work has been done to investigate the processes by which these epistemological, metaphysical, and ethical forms of inquiry arise in the course of synthetic biology research. An attempt at this work relying on a particular area of synthetic biology will be the aim of this chapter. I focus on the reengineering of (...)
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  39. "Epistemic Dexterity: A Ramseyian Account of Agent Based Knowledge".Abrol Fairweather & Carlos Montemayor - forthcoming - In Naturalizing Epistemic Virtue.
    “Epistemic Dexterity: A Ramseyian Account of Epistemic Virtue” by Abrol Fairweather & Carlos Montemayor: A modification of F.P. Ramsey’s success semantics supports a naturalized theory of epistemic virtue that includes motivational components and can potentially explain both epistemic reliability and responsibility with a single normative-explanatory principle. An “epistemic Ramsey success” will also provide a better account of the “because of” condition central to virtue-reliabilist accounts of knowledge from Greco, Sosa and Pritchard. Ramsey said that the truth condition of a belief (...)
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  40. 20 Years After The Embodied Mind - Why is Cognitivism Alive and Kicking?Vincent C. Müller - 2013 - In Blay Whitby & Joel Parthmore (eds.), Re-Conceptualizing Mental "Illness": The View from Enactivist Philosophy and Cognitive Science - AISB Convention 2013. AISB. pp. 47-49.
    I want to suggest that the major influence of classical arguments for embodiment like "The Embodied Mind" by Varela, Thomson & Rosch (1991) has been a changing of positions rather than a refutation: Cognitivism has found ways to retreat and regroup at positions that have better fortification, especially when it concerns theses about artificial intelligence or artificial cognitive systems. For example: a) Agent-based cognitivism' that understands humans as taking in representations of the world, doing rule-based processing and (...)
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  41.  81
    Tableaux-Based Decision Method for Single-Agent Linear Time Synchronous Temporal Epistemic Logics with Interacting Time and Knowledge.Mai Ajspur & Valentin Goranko - 2013 - In Kamal Lodaya (ed.), Logic and its Applications. Springer. pp. 80--96.
    Temporal epistemic logics are known, from results of Halpern and Vardi, to have a wide range of complexities of the satisfiability problem: from PSPACE, through non-elementary, to highly undecidable. These complexities depend on the choice of some key parameters specifying, inter alia, possible interactions between time and knowledge, such as synchrony and agents' abilities for learning and recall. In this work we develop practically implementable tableau-based decision procedures for deciding satisfiability in single-agent synchronous temporal-epistemic logics with interactions between (...)
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  42. Against Simplicity and Cognitive Individualism: Nathaniel T. Wilcox.Nathaniel T. Wilcox - 2008 - Economics and Philosophy 24 (3):523-532.
    Neuroeconomics illustrates our deepening descent into the details of individual cognition. This descent is guided by the implicit assumption that “individual human” is the important “agent” of neoclassical economics. I argue here that this assumption is neither obviously correct, nor of primary importance to human economies. In particular I suggest that the main genius of the human species lies with its ability to distribute cognition across individuals, and to incrementally accumulate physical and social cognitive artifacts that largely obviate (...)
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  43. Don’T Forget Forgetting: The Social Epistemic Importance of How We Forget.Daniel J. Singer, Aaron Bramson, Patrick Grim, Bennett Holman, Karen Kovaka, Jiin Jung & William Berger - 2019 - Synthese 198 (6):5373-5394.
    We motivate a picture of social epistemology that sees forgetting as subject to epistemic evaluation. Using computer simulations of a simple agent-based model, we show that how agents forget can have as large an impact on group epistemic outcomes as how they share information. But, how we forget, unlike how we form beliefs, isn’t typically taken to be the sort of thing that can be epistemically rational or justified. We consider what we take to be the most promising (...)
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  44. Complexity of Judgment Aggregation.Ulle Endriss, Umberto Grandi & Daniele Porello - 2012 - Journal of Artificial Intelligence Research 45:481--514.
    We analyse the computational complexity of three problems in judgment aggregation: (1) computing a collective judgment from a profile of individual judgments (the winner determination problem); (2) deciding whether a given agent can influence the outcome of a judgment aggregation procedure in her favour by reporting insincere judgments (the strategic manipulation problem); and (3) deciding whether a given judgment aggregation scenario is guaranteed to result in a logically consistent outcome, independently from what the judgments supplied by the individuals (...)
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  45. Complexity Biology-Based Information Structures Can Explain Subjectivity, Objective Reduction of Wave Packets, and Non-Computability.Alex Hankey - 2014 - Cosmos and History 10 (1):237-250.
    Background: how mind functions is subject to continuing scientific discussion. A simplistic approach says that, since no convincing way has been found to model subjective experience, mind cannot exist. A second holds that, since mind cannot be described by classical physics, it must be described by quantum physics. Another perspective concerns mind's hypothesized ability to interact with the world of quanta: it should be responsible for reduction of quantum wave packets; physics producing 'Objective Reduction' is postulated to form the basis (...)
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  46. Gaming the Attention Economy.Daniel Estrada & Jon Lawhead - 2013 - In Pietro Michelucci (ed.), The Handbook of Human Computation. Springer. pp. 961-978.
    The future of human computation benefits from examining tasks that agents already perform and designing environments to give those tasks computational significance. We call this natural human computation. We consider the possible future of NHC through the lens of Swarm!, an application under development for Google Glass. Swarm! motivates users to compute the solutions to a class of economic optimization problems by engaging the attention dynamics of crowds. We argue that anticipating and managing economies of attention provides one of (...)
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  47. Simulation as Formal and Generative Social Science: The Very Idea.Nuno David, Jaime Sichman & Helder Coelho - 2007 - In Carlos Gershenson, Diederik Aerts & Bruce Edmonds (eds.), Worldviews, Science, and Us: Philosophy and Complexity. World Scientific. pp. 266--275.
    The formal and empirical-generative perspectives of computation are demonstrated to be inadequate to secure the goals of simulation in the social sciences. Simulation does not resemble formal demonstrations or generative mechanisms that deductively explain how certain models are sufficient to generate emergent macrostructures of interest. The description of scientific practice implies additional epistemic conceptions of scientific knowledge. Three kinds of knowledge that account for a comprehensive description of the discipline were identified: formal, empirical and intentional knowledge. The use of formal (...)
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  48.  86
    Universal Economic Plan Based Law Constitutions of Kingdom and Nations.Mesut Kavak - manuscript
    In this work, touched on some social issues whatever the result, and a raising awareness was aimed by some new technological upgrades for the vital infrastructures of states, social order and economic plans. The main aim is one world order which has no king and accepts nations as local governance as a requirement of hierarchical order. It is completely based on economic benefits of all nations as there is no alternative to establish a healthy economic order as economic management (...)
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  49. Consciousness as Computation: A Defense of Strong AI Based on Quantum-State Functionalism.R. Michael Perry - 2006 - In Charles Tandy (ed.), Death and Anti-Death, Volume 4: Twenty Years After De Beauvoir, Thirty Years After Heidegger. Palo Alto: Ria University Press.
    The viewpoint that consciousness, including feeling, could be fully expressed by a computational device is known as strong artificial intelligence or strong AI. Here I offer a defense of strong AI based on machine-state functionalism at the quantum level, or quantum-state functionalism. I consider arguments against strong AI, then summarize some counterarguments I find compelling, including Torkel Franzén’s work which challenges Roger Penrose’s claim, based on Gödel incompleteness, that mathematicians have nonalgorithmic levels of “certainty.” Some consequences of (...)
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  50.  32
    Simulating Grice: Emergent Pragmatics in Spatialized Game Theory.Patrick Grim - 2011 - In Anton Benz, Christian Ebert & Robert van Rooij (eds.), Language, Games, and Evolution. Springer-Verlag.
    How do conventions of communication emerge? How do sounds or gestures take on a semantic meaning, and how do pragmatic conventions emerge regarding the passing of adequate, reliable, and relevant information? My colleagues and I have attempted in earlier work to extend spatialized game theory to questions of semantics. Agent-based simulations indicate that simple signaling systems emerge fairly naturally on the basis of individual information maximization in environments of wandering food sources and predators. Simple signaling emerges by means (...)
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