Add to ORKGIn this paper, MAXCS -- a Multi-Agent system that learns using XCS -- is used for social modelling on the "El Farol" Bar problem. A cooperative reward distribution technique is used and compared with the original "selfish" "El Farol" Bar problem distribution technique. When using selfish reward distribution a vacillating agent emerges which, although obtaining no reward itself, enables all the other agents to benefit in the best way possible from the system. Experiments with 10 agents and different..
In this paper we introduce a new multi-agent reinforcement learning algorithm, called exploring self...
In this paper we introduce a new multi-agent reinforcement learning algorithm, called exploring self...
Multi-Agent Simulations of Integration and Segregation Dynamics in Social System used Fuzzy Inferenc...
In this paper, MAZCS -- a MultiAgent system that learns using ZCS -- is used for social modelling on...
Novel use of the \El Farol " problem (EFP) [1] { using a changing comfort threshold { testing ...
We have developed a new agent-based simulation tool to model social dilemmas for the case of a large...
This dissertation presents the analytical solution, agent behavioral transitions and classification ...
A new agent-based model is presented of the investiga-tion of collective behavior with a large numbe...
With the existence of the social customs or norms, Naylor demonstrates a possibility of stable long-...
With new tools such as evolutionary game theory and agent based modeling this, dissertation expands ...
This dissertation studied complex social systems that have large number of individuals and complicat...
Complex social systems are composed of interconnected individuals whose interactions result in group...
Social dilemmas have attracted extensive interest in multiagent system research in order to study th...
One of the complexities of social systems is the emergence of behavior norms that are costly for ind...
The El Farol Bar problem proposed by Arthur in [1] is a study of economic system. Though Arthur's ma...
In this paper we introduce a new multi-agent reinforcement learning algorithm, called exploring self...
In this paper we introduce a new multi-agent reinforcement learning algorithm, called exploring self...
Multi-Agent Simulations of Integration and Segregation Dynamics in Social System used Fuzzy Inferenc...
In this paper, MAZCS -- a MultiAgent system that learns using ZCS -- is used for social modelling on...
Novel use of the \El Farol " problem (EFP) [1] { using a changing comfort threshold { testing ...
We have developed a new agent-based simulation tool to model social dilemmas for the case of a large...
This dissertation presents the analytical solution, agent behavioral transitions and classification ...
A new agent-based model is presented of the investiga-tion of collective behavior with a large numbe...
With the existence of the social customs or norms, Naylor demonstrates a possibility of stable long-...
With new tools such as evolutionary game theory and agent based modeling this, dissertation expands ...
This dissertation studied complex social systems that have large number of individuals and complicat...
Complex social systems are composed of interconnected individuals whose interactions result in group...
Social dilemmas have attracted extensive interest in multiagent system research in order to study th...
One of the complexities of social systems is the emergence of behavior norms that are costly for ind...
The El Farol Bar problem proposed by Arthur in [1] is a study of economic system. Though Arthur's ma...
In this paper we introduce a new multi-agent reinforcement learning algorithm, called exploring self...
In this paper we introduce a new multi-agent reinforcement learning algorithm, called exploring self...
Multi-Agent Simulations of Integration and Segregation Dynamics in Social System used Fuzzy Inferenc...