Add to ORKGIn this paper, MAZCS -- a MultiAgent system that learns using ZCS -- is used for social modelling on the "El Farol" Bar problem. Experiments with ten agents and different goal settings for the problem show that MAZCS is always able to solve it and emergent behaviour derives from the autonomous control of each agent
The objective of my research described in this dissertation is to realize learning and evolutionary ...
This paper presents an agent-based approach to pattern classification that intensively uses evolutio...
Multi-agent systems consist of interactive and independent agents of different kinds in a “world” of...
In this paper, MAXCS -- a Multi-Agent system that learns using XCS -- is used for social modelling o...
Novel use of the \El Farol " problem (EFP) [1] { using a changing comfort threshold { testing ...
© 1996, Springer-Verlag. All rights reserved. In this paper we introduce two macro-level operators t...
1 Introduction One of the most challenging aspects of building intelligent systems is the design and...
In H. Coelho and B. Espinasse (Eds.), Proceedings of 5th Workshop on Agent-Based Simulation, pp. 127...
This paper describes exploratory work inspired by a recent mathematical model of genetic and cultura...
Hou Y, Sun M, Zeng Y, et al. A Multi-agent Cooperative Learning System with Evolution of Social Role...
This thesis has introduced and investigated a new kind of rule-based evolutionary online learning sy...
Multiagent systems (MAS) are distributed systems ofindependent actors, called agents, that cooperate...
Abstract We have been investigating evolutionary methods to design behavioral strategies for intelli...
This article embarks a study on multiagent transfer learning (TL) for addressing the specific challe...
Brian Arthur's `El Farol Bar' model is extended so that the agents also learn and communicate. The l...
The objective of my research described in this dissertation is to realize learning and evolutionary ...
This paper presents an agent-based approach to pattern classification that intensively uses evolutio...
Multi-agent systems consist of interactive and independent agents of different kinds in a “world” of...
In this paper, MAXCS -- a Multi-Agent system that learns using XCS -- is used for social modelling o...
Novel use of the \El Farol " problem (EFP) [1] { using a changing comfort threshold { testing ...
© 1996, Springer-Verlag. All rights reserved. In this paper we introduce two macro-level operators t...
1 Introduction One of the most challenging aspects of building intelligent systems is the design and...
In H. Coelho and B. Espinasse (Eds.), Proceedings of 5th Workshop on Agent-Based Simulation, pp. 127...
This paper describes exploratory work inspired by a recent mathematical model of genetic and cultura...
Hou Y, Sun M, Zeng Y, et al. A Multi-agent Cooperative Learning System with Evolution of Social Role...
This thesis has introduced and investigated a new kind of rule-based evolutionary online learning sy...
Multiagent systems (MAS) are distributed systems ofindependent actors, called agents, that cooperate...
Abstract We have been investigating evolutionary methods to design behavioral strategies for intelli...
This article embarks a study on multiagent transfer learning (TL) for addressing the specific challe...
Brian Arthur's `El Farol Bar' model is extended so that the agents also learn and communicate. The l...
The objective of my research described in this dissertation is to realize learning and evolutionary ...
This paper presents an agent-based approach to pattern classification that intensively uses evolutio...
Multi-agent systems consist of interactive and independent agents of different kinds in a “world” of...