Results 11 to 20 of about 130,226 (225)
Loose Game Theory Based Anomaly Detection Scheme for SDN-Based mMTC Services
IEEE Access, 2019 In this paper, we exploit the game theory to integrate the strengths of statistics-based detection and the machine learning-based detection for wireless software-defined-networking (SDN) based massive machine-type-communications (mMTC) services ...
Bizhu Wang, Yan Sun, Xiaodong Xu
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Decision-Making: A Neuroeconomic Perspective [PDF]
, 2007 This article introduces and discusses from a philosophical point of view the nascent field of neuroeconomics, which is the study of neural mechanisms involved in decision-making and their economic significance.
Hardy-Vallee, Benoit
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Forthcoming Issue on Game Theory and Political Economy
Economies, 2013 Game theory offers a rigorous set of concepts, relationships, and models that invite myriad applications to problems of political economy. Indeed, game theory can serve as a fundamental modeling technique that can bridge microfoundations of political and
William D. Ferguson
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On the beliefs off the path: equilibrium refinement due to quantal response and level-k [PDF]
, 2010 This paper studies the relevance of equilibrium and nonequilibrium explanations of behavior, with respects to equilibrium refinement, as players gain experience. We investigate this experimentally using an incomplete information sequential move game with
Breitmoser, Yves +2 more
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Modeling the Psychology of Consumer and Firm Behavior with Behavioral Economics [PDF]
, 2005 Marketing is an applied science that tries to explain and influence how firms and consumers actually behave in markets. Marketing models are usually applications of economic theories.
Camerer, Colin F. +2 more
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MathematicsIn the context of increasing global efforts to mitigate climate change, effective carbon emission reduction is a pressing issue. Governments and power companies are key stakeholders in implementing low-carbon strategies, but their interactions require ...
Zhanggen Zhu, Lefeng Cheng, Teng Shen
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Inertial game dynamics and applications to constrained optimization [PDF]
, 2015 Aiming to provide a new class of game dynamics with good long-term rationality properties, we derive a second-order inertial system that builds on the widely studied "heavy ball with friction" optimization method.
Laraki, Rida, Mertikopoulos, Panayotis
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Significance of uncertainty in explaining institutional change in Douglass C. North’s approach
Ekonomia i Prawo, 2019 Motivation: Studies on nature and effects of uncertainty in a non-ergodic world became in Douglass Cecil North’s concept a starting point for explanation of economic changes mechanism. The origin of North’s studies on uncertainty is related to one of key
Gabriela Przesławska
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Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
, 2019 With the recent advances in solving large, zero-sum extensive form games, there is a growing interest in the inverse problem of inferring underlying game parameters given only access to agent actions.
Fang, Fei +2 more
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Learning backward induction: a neural network agent approach [PDF]
, 2009 This paper addresses the question of whether neural networks (NNs), a realistic cognitive model of human information processing, can learn to backward induce in a two-stage game with a unique subgame-perfect Nash equilibrium.
Bastidas Orihuela, Jarol Jorge +1 more
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