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A Dynamic Model of Interactions between Conscious and Unconscious

Aïleen Lotz, Pierre Gosselin
2012 Social Science Research Network  
This paper advocates that some limits of the rational agent hypothesis result from the improper assumption that one individual should be modeled as a single rational agent.  ...  This result has generally been taken as a con...rmation of the rational agent hypothesis : individuals are in...nitely rational, and their decisions are those of utility-maximizing agents.  ...  The motor system, for instance, is well modeled by a learning rational agent 9 .  ... 
doi:10.2139/ssrn.2006085 fatcat:2ji55fwhj5e6xo2k4wpkocxxu4

Bayesian Expectations and Strategic Complementarity: Implications for Macroeconomic Stability

Volkan Hacioglu
2015 Procedia - Social and Behavioral Sciences  
In the theoretical framework, the market is composed of three different types of agents, "sophisticated" agents with rational expectations, "naive" agents with adaptive expectations, and Bayesian agents  ...  If sophisticated agents with their perfect foresight find it profitable to imitate the biased behavior of naive agents, then the interaction of agents exhibits strategic complementarity.  ...  Strategic complementarity offers an explanation of limited rationality as a source of both nominal and real inertia.  ... 
doi:10.1016/j.sbspro.2015.06.138 fatcat:2u7vgtz5xnahpccfvor7khmg5u

Disassortative mixing of boundedly-rational players in socio-ecological systems [article]

Prasan Ratnayake, Dharshana Kasthurirathna, Mahendra Piraveenan
2022 arXiv   pre-print
The findings may have useful interpretations and applications in socio-economic systems in maximizing the utility of interactions in a population of strategic players.  ...  In this work, we observe the effect of node rationality-based scalar-assortativity, on the system rationality of a network.  ...  The resulting probability distribution represent the QRE for the particular pair of agents engaging in a strategic interaction.  ... 
arXiv:2203.12237v2 fatcat:fyd4ff7o75ftnprlxregjk3ew4

Computational Models of Human Decision-Making with Application to the Internet of Everything [article]

Setareh Maghsudi, Max Davy
2020 arXiv   pre-print
Based on one such model, we develop a solution for a task offloading problem in fog computing and we analyze the implications of including humans in the loop.  ...  Today, by the ubiquitous wireless connectivity, the boost of machine learning and artificial intelligence, and the advances in big data analytics, it is safe to say that IoT has evolved to a new concept  ...  limited number of iterations of strategic reasoning.  ... 
arXiv:2008.11958v1 fatcat:ig7debkqobdqjmc4pt7awkahlm

Designing Auctions for Deliberative Agents [chapter]

Kate Larson, Tuomas Sandholm
2006 Lecture Notes in Computer Science  
In many settings, bidding agents for auctions do not know their preferences a priori.  ...  We propose a set of intuitive properties which are desirable in mechanisms used among deliberative agents.  ...  Acknowledgements The material in this paper is based upon work supported by the National Science Foundation under CAREER Award IRI-9703122, Grant IIS-9800994, ITR IIS-0081246, and ITR IIS-0121678.  ... 
doi:10.1007/11575726_7 fatcat:t6mqsfhbazb2bczgexfxw4j72y

Dynamic Assignment of Geospatial-Temporal Macro Tasks to Agents under Human Strategic Decisions for Centralized Scheduling in Multi-Agent Systems

Reza Nourjou, Stephen F. Smith, Michinori Hatayama, Norio Okada, Pedro Szekely
2014 International Journal of Machine Learning and Computing  
(rational agents) to minimize the total operation time in uncertain, dynamic, and spatial environments.  ...  Conclusion: This result, which is a feasible solution for the addressed problem, permits the IC to coordinate agents, partially specify the activities of the agents in time and space, minimize the overall  ...  This enabled him to be a visiting scholar at the Information Sciences Institute of the University of Southern California and the Robotics Institute of Carnegie Mellon University from November 2011 to November  ... 
doi:10.7763/ijmlc.2014.v4.383 fatcat:vlzui36f3vda5oj5c7rffzre4y

Implementation of stable solutions in a restricted matching market

Antonio Romero-Medina
1998 Review of Economic Design  
The system is open to strategic manipulation. This is because students are not allowed to express the whole list of available options.  ...  However, the mechanism implements the set of stable matchings in Nash equilibrium and the student's optimum in strong equilibrium.  ...  After a few definitions Sect. 2 studies the specific features of the Spanish system. Section 3 analyzes their strategic and allocational consequences.  ... 
doi:10.1007/s100580050009 fatcat:7axcb7a75vd7pbxdiik3wgitva

The evolution of forecasting for decision making in dynamic environments [article]

Andrew R. Tilman, Vitor V. Vasconcelos, Erol Akcay, Joshua B. Plotkin
2021 arXiv   pre-print
Economic and evolutionary theories of strategic behavior make similar predictions in a fixed environment, even though one approach assumes perfect rationality and the other assumes no cognition whatsoever  ...  We interpret our results as a natural evolution of cognitive styles, and we discuss applications to problems of decision-making with environmental feedback in both human and non-human systems.  ...  Here, we explore a middle ground between myopic agents and fully rational agents -that is, between evolutionary and economic theories of decision making.  ... 
arXiv:2108.00047v1 fatcat:wkvs4cb4qvfrhotlizrr76qvzu

Bidders with hard valuation problems

Kate Larson, Tuomas Sandholm
2002 Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 1 - AAMAS '02  
We present a normative model of bounded rationality where deliberation actions of agents are incorporated into strategies and deliberation equilibria are analyzed for standard auction protocols.  ...  It can be concluded that the model of bounded rationality impacts the agents' equilibrium strategies and must be considered when designing mechanisms for computationally limited agents. * .  ...  Theorem 7 If agents have anytime algorithms, free but limited computing and their performance profiles are all deterministic, then in a generalized Vickrey auction, weak strategic computing may occur in  ... 
doi:10.1145/544741.544777 dblp:conf/atal/LarsonS02a fatcat:jhtdest2zraqtfe623p67p2wlm

Social and strategic imitation: the way to consensus [article]

Daniele Vilone, José J. Ramasco, Angel Sánchez, Maxi San Miguel
2012 arXiv   pre-print
For interactions in complex networks, the interplay of social and strategic imitation also drives the system towards global consensus while neither dynamics alone does.  ...  We explore here the interplay between strategic and social imitative behaviors in a coordination problem on a social network.  ...  Social and strategic imitation: the way to consensus  ... 
arXiv:1207.5343v2 fatcat:oaai6mbbl5ehpa7jaset5566cu

Constrained rationality: Formal goals-reasoning approach to strategic decision & conflict analysis

Majed Al-Shawa, Otman Basir
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
This paper proposes Constrained Rationality, a formal qualitative goals and constraints reasoning framework for single and multi agents to analyze and rationalize about strategic decisions/conflicts.  ...  of propagation rules and an algorithm to calculate the final value labels for goals at any point of time.  ...  ), there is a need for a formal reasoning framework to address the challenges of dealing with strategic goals and decisions.  ... 
doi:10.1109/icsmc.2009.5346292 dblp:conf/smc/Al-ShawaB09 fatcat:rsvzl363ffg3hfa3jrulw4tdoe

Rationalizable Strategic Behavior

B. Douglas Bernheim
1984 Econometrica  
viewing complete rationality as a limiting case of incomplete rationality.  ...  This paper is concerned with defining, justifying, characterizing, and refining a criterion for rational strategic choice, which I label "rationalizability." l I would like to thank Franklin M.  ... 
doi:10.2307/1911196 fatcat:ekifg3iugbg6bbvfubd2lfb2te

A Game-Theoretic Approach to a Task Delegation Problem [article]

Donya G. Dobakhshari, Lav R. Varshney, Vijay Gupta
2020 arXiv   pre-print
We design a mechanism for selecting the agent and incentivizing the selected agent to realize a priority sequence for executing the tasks that achieves socially optimal performance.  ...  We show that the proposed mechanism is individually rational and incentive compatible.  ...  This result is similar in spirit to the so-called price of anarchy which captures the inefficiency in a system as a result of selfish/strategic behavior of the agents.  ... 
arXiv:2001.04897v3 fatcat:kmllirralffyph5iyzx6guf5cm

ATL Strategic Reasoning Meets Correlated Equilibrium

Xiaowei Huang, Ji Ruan
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
This leads to a restriction of treating both the bus and the car as rational agents, by which their joint strategy is an equilibrium of certain solution concepts.  ...  This paper is motivated by analysing a Google self-driving car accident, i.e., the car hit a bus, with the framework and the tools of strategic reasoning by model checking.  ...  If so, a rational agent may refuse to adhere to the strategy, and therefore the strategic reasoning becomes useless.  ... 
doi:10.24963/ijcai.2017/153 dblp:conf/ijcai/HuangR17 fatcat:5egai3c3pbfyxpa53gw7ctdpj4

Exploring Predictability in Armed Conflict

David E. McCullin
2020 MCU Journal  
This article proposes a direct relationship between complexity and predictability in a two-agent noncooperative zero-sum game (2XZSG).  ...  The author explores this proposition by modeling armed conflict as a 2XZSG and using case studies in armed conflict as the dataset for the systematic literature review.  ...  Constraints are also framed in terms of duration and sequencing within a system. Eliyahu M.  ... 
doi:10.21140/mcuj.2020110107 fatcat:y2pyqbhzmnhqhlzijbbssmxm2e
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