Results 21 to 30 of about 928,430 (295)
Muddling Through: Noisy Equilibrium Selection [PDF]
Journal of Economic Theory, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ken Binmore, Larry Samuelson
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Equilibrium Selection in Bargaining Models [PDF]
SSRN Electronic Journal, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ken Binmore +2 more
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Indirect genetic effects allow escape from the inefficient equilibrium in a coordination game
Evolution Letters, 2020 Social interactions involving coordination between individuals are subject to an “evolutionary trap.” Once a suboptimal strategy has evolved, mutants playing an alternative strategy are counterselected because they fail to coordinate with the majority ...
Arthur Bernard +2 more
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Evolutionary Drift and Equilibrium Selection [PDF]
Review of Economic Studies, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ken Binmore, Larry Samuelson
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Tenacious Selection of Nash Equilibrium [PDF]
The B.E. Journal of Theoretical Economics, 2016 AbstractWe propose a complexity measure and an associated refinement based on the observation that best responses with more variations call for more precise anticipation. The variations around strategy profiles are measured by considering the cardinalities of players’ pure strategy best responses when others’ behavior is perturbed.
Alioğulları, Zeynel Harun +1 more
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Entropic selection of Nash equilibrium [PDF]
, 2012 This study argues that Nash equilibria with less variations in players' best responses are more appealing. To that regard, a notion measuring such variations, the entropic selection of Nash equilibrium, is presented: For any given Nash equilibrium, we ...
Aliogullari, Zeynel Harun +2 more
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Equilibrium Selection in Signaling Games [PDF]
Econometrica, 1987 Revised. Original dated to March 1985. Presented at the 5th World Congress of the Econometric Society, Boston MA, August 1985. We thank participants of Caltech, UCSD and Rand Corporation Theory Workshops, Drew Fudenberg, David Kreps, and two referees for valuable comments.
Banks, Jeffrey S., Sobel, Joel
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Multi-Agent Reinforcement Learning Approach for Residential Microgrid Energy Scheduling
Energies, 2019 Residential microgrid is widely considered as a new paradigm of the home energy management system. The complexity of Microgrid Energy Scheduling (MES) is increasing with the integration of Electric Vehicles (EVs) and Renewable Generations (RGs). Moreover,
Xiaohan Fang +5 more
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Improving Computational Efficiency in Crowded Task Allocation Games with Coupled Constraints
Applied Sciences, 2019 Multi-agent task allocation is a well-studied field with many proven algorithms. In real-world applications, many tasks have complicated coupled relationships that affect the feasibility of some algorithms. In this paper, we leverage on the properties of
Ming Chong Lim, Han-Lim Choi
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An Efficient Binary Equilibrium Optimizer Algorithm for Feature Selection
IEEE Access, 2020 Feature selection (FS) is a classic and challenging optimization task in the field of machine learning and data mining. An equilibrium optimizer (EO) is a novel physics-based optimization algorithm; it was inspired by controlled volume mass balance ...
Yuanyuan Gao, Yongquan Zhou, Qifang Luo
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