Modeling multi-agent labor market based on co-evolutionary computation and game theory

The long-term evolution of multi agent multi criteria decision making (MCDM) and to obtain sustainable decision a novel methodology is proposed based on evolutionary game theory. In this paper multi agent MCDM is represented as an evolutionary game and the evolutionary strategies are defined as sustainable decisions. Here we consider the problem of decision making in Indian Tea Industry. The agents in this game are essentially Indian Tea Estate owner and Indian Tea board. The replicator dynamics of the evolutionary game are studied to obtain evolutionary strategies which could be defined as sustainable strategies. The multi agent MCDM in Indian Tea Industry is considered under different socio-political and Corporate Social Responsibility scenario and groups of Indian Tea Industry. Again, the impacts of imprecision and market volatility on the outcome of some strategies (decisions) are studied. In this paper the imprecision on the impact of the strategies are modelled as fuzzy numbers whereas the market volatility is taken into account as white noise. Hence the MCDM problem for Indian Tea Industry is modelled as a hybrid evolutionary game. The probabilities of strategies are obtained by solving hybrid evolutionary game and could be represented as a Dempster-Shafer belief structure. The simulation results facilitate the Decision Makers to choose the strategies (decisions) under different type of uncertainty.

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The Evolution of the Labor Market for Medical Interns and Residents: A Case Study in Game Theory

Journal of Political Economy ◽

10.1086/261272 ◽

1984 ◽

Vol 92 (6) ◽

pp. 991-1016 ◽

Cited By ~ 576

Author(s):

Alvin E. Roth

Keyword(s):

Game Theory ◽

Labor Market ◽

Interns And Residents ◽

Medical Interns

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A Game Theory-Based Multi-Agent System for Expensive Optimisation Problems

Computational Intelligence in Optimization - Adaptation, Learning, and Optimization ◽

10.1007/978-3-642-12775-5_9 ◽

2010 ◽

pp. 211-232 ◽

Cited By ~ 5

Author(s):

Abdellah Salhi ◽

Özgun Töreyen

Keyword(s):

Game Theory ◽

Multi Agent System ◽

Agent System ◽

Multi Agent

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Evolutionary Computation as a Paradigm for Engineering Emergent Behaviour in Multi-Agent Systems

Intelligent Agent Software Engineering ◽

10.4018/978-1-59140-046-2.ch006 ◽

2011 ◽

pp. 118-136 ◽

Cited By ~ 3

Author(s):

Robert E. Smith ◽

Claudio Bonacina

Keyword(s):

Evolutionary Computation ◽

Multi Agent System ◽

Multi Agent Systems ◽

Agent System ◽

Future Directions ◽

Agent Based ◽

Agent Systems ◽

Emergent Behaviour ◽

Shaping System ◽

Multi Agent

In the multi-agent system (MAS) context, the theories and practices of evolutionary computation (EC) have new implications, particularly with regard to engineering and shaping system behaviors. Thus, it is important that we consider the embodiment of EC in “real” agents, that is, agents that involve the real restrictions of time and space within MASs. In this chapter, we address these issues in three ways. First, we relate the foundations of EC theory to MAS and consider how general interactions among agents fit within this theory. Second, we introduce a platform independent agent system to assure that our EC methods work within the generic, but realistic, constraints of agents. Finally, we introduce an agent-based system of EC objects. Concluding sections discuss implications and future directions.

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