Ownership and Trade in Spatial Evolutionary Memetic Games
نویسندگان
چکیده
In this paper we consider several strategies to compete in a spatial version of the Iterated Prisoner’s Dilemma (IPD). The cell interaction is modeled by a two-dimensional square lattice, where each cell only locally interacts with its neighbors. Cell actions are public and therefore can be imitated by neighbors. The main contribution of the paper is the framework for the memetic analysis of the population evolution in this extended version of the spatial prisoner’s dilemma. Among the classical strategies, cooperate (C) and defect (D), we consider two other strategies based on the property of resources: Possession (P), as the right to possess what one owns, and Trade (T), as the right to buy and sell ownership. This work also includes a set of simulation results showing how ownership and trade emerge from anarchy, as evolutionary stable strategies, to enable the peaceful resolution of property conflicts under certain environment conditions.
منابع مشابه
Ownership and Trade from Evolutionary Games
Ownership and trade emerge from anarchy as evolutionary stable strategies. In these evolutionary game models, ownership status provides an endogenous asymmetrizing criterion enabling cheaper resolution of property conflicts. †Assistant Professor, Columbia University, 615 Uris Hall, 3022 Broadway, New York, NY 10027. The author acknowledges financial support from the Brown and Bain Fellowship in...
متن کاملTransfer of Bargaining Power Sources in Oil Trade Games
Bargaining Power is one of the important issues in oil trade negotiations. In this paper two effective factors in bargaining power i.e. patient time to deal and outside options of each player have been considered. The necessary relations for exchange of sources in negotiation have been derived.
متن کاملGenetic and Memetic Algorithms for Sequencing a New JIT Mixed-Model Assembly Line
This paper presents a new mathematical programming model for the bi-criteria mixed-model assembly line balancing problem in a just-in-time (JIT) production system. There is a set of criteria to judge sequences of the product mix in terms of the effective utilization of the system. The primary goal of this model is to minimize the setup cost and the stoppage assembly line cost, simultaneously. B...
متن کاملRegion based memetic algorithm for real-parameter optimisation
Memetic algorithms with an appropriate trade-off between the exploration and exploitation can obtain very good results in continuous optimisation. That implies the evolutionary algorithm should be focused in exploring the search space while the local search method exploits the achieved solutions. To tackle this issue, we propose to maintain a higher diversity in the evolutionary algorithm's pop...
متن کاملMultiobjective memetic algorithms for time and space assembly line balancing
This paper presents three proposals of multiobjective memetic algorithms to solve a more realistic extension of a classical industrial problem: time and space assembly line balancing. These three proposals are, respectively, based on evolutionary computation, ant colony optimisation, and greedy randomised search procedure. Different variants of these memetic algorithms have been developed and c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010