Evolving preferences among emergent groups of agents

Computing and Communications

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Published

Standard

Evolving preferences among emergent groups of agents. / Marrow, Paul; Hoile, Cefn; Wang, Fang et al.
Adaptive agents and multi-agent systems: adaptation and multi-agent learning. ed. / Eduardo Alonso; Daniel Kudenko; Dimitar Kazakov. Berlin: Springer Verlag, 2003. p. 159-173 (Lecture Notes in Computer Science; Vol. 2636).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Marrow, P, Hoile, C, Wang, F & Bonsma, E 2003, Evolving preferences among emergent groups of agents. in E Alonso, D Kudenko & D Kazakov (eds), Adaptive agents and multi-agent systems: adaptation and multi-agent learning. Lecture Notes in Computer Science, vol. 2636, Springer Verlag, Berlin, pp. 159-173.

APA

Marrow, P., Hoile, C., Wang, F., & Bonsma, E. (2003). Evolving preferences among emergent groups of agents. In E. Alonso, D. Kudenko, & D. Kazakov (Eds.), Adaptive agents and multi-agent systems: adaptation and multi-agent learning (pp. 159-173). (Lecture Notes in Computer Science; Vol. 2636). Springer Verlag.

Vancouver

Marrow P, Hoile C, Wang F, Bonsma E. Evolving preferences among emergent groups of agents. In Alonso E, Kudenko D, Kazakov D, editors, Adaptive agents and multi-agent systems: adaptation and multi-agent learning. Berlin: Springer Verlag. 2003. p. 159-173. (Lecture Notes in Computer Science).

Author

Marrow, Paul ; Hoile, Cefn ; Wang, Fang et al. / Evolving preferences among emergent groups of agents. Adaptive agents and multi-agent systems: adaptation and multi-agent learning. editor / Eduardo Alonso ; Daniel Kudenko ; Dimitar Kazakov. Berlin : Springer Verlag, 2003. pp. 159-173 (Lecture Notes in Computer Science).

Bibtex

@inbook{25db62c304b34de6be63a0a1e3e85d57,

title = "Evolving preferences among emergent groups of agents",

abstract = "Software agents can prove useful in representing the interests of human users of agent systems. When users have diverse interests, the question arises as to how agents representing their interests can be grouped so as to facilitate interaction between users with compatible interests. This paper describes experiments in the DIET (Decentralised Information Ecosystem Technologies) agent platform that use evolutionary computation to evolve preferences of agents in choosing environments so as to interact with other agents representing users with similar interests. These experiments suggest a useful way for agents to acquire preferences for formation of groups for information interaction between users, and may also indicate means for supporting load balancing in distributed systems.",

author = "Paul Marrow and Cefn Hoile and Fang Wang and Erwin Bonsma",

year = "2003",

language = "English",

isbn = "978-3-540-40068-4",

series = "Lecture Notes in Computer Science",

publisher = "Springer Verlag",

pages = "159--173",

editor = "Eduardo Alonso and Daniel Kudenko and Dimitar Kazakov",

booktitle = "Adaptive agents and multi-agent systems",

}

RIS

TY - CHAP

T1 - Evolving preferences among emergent groups of agents

AU - Marrow, Paul

AU - Hoile, Cefn

AU - Wang, Fang

AU - Bonsma, Erwin

PY - 2003

Y1 - 2003

N2 - Software agents can prove useful in representing the interests of human users of agent systems. When users have diverse interests, the question arises as to how agents representing their interests can be grouped so as to facilitate interaction between users with compatible interests. This paper describes experiments in the DIET (Decentralised Information Ecosystem Technologies) agent platform that use evolutionary computation to evolve preferences of agents in choosing environments so as to interact with other agents representing users with similar interests. These experiments suggest a useful way for agents to acquire preferences for formation of groups for information interaction between users, and may also indicate means for supporting load balancing in distributed systems.

AB - Software agents can prove useful in representing the interests of human users of agent systems. When users have diverse interests, the question arises as to how agents representing their interests can be grouped so as to facilitate interaction between users with compatible interests. This paper describes experiments in the DIET (Decentralised Information Ecosystem Technologies) agent platform that use evolutionary computation to evolve preferences of agents in choosing environments so as to interact with other agents representing users with similar interests. These experiments suggest a useful way for agents to acquire preferences for formation of groups for information interaction between users, and may also indicate means for supporting load balancing in distributed systems.

M3 - Chapter

SN - 978-3-540-40068-4

T3 - Lecture Notes in Computer Science

SP - 159

EP - 173

BT - Adaptive agents and multi-agent systems

A2 - Alonso, Eduardo

A2 - Kudenko, Daniel

A2 - Kazakov, Dimitar

PB - Springer Verlag

CY - Berlin

ER -

Research