Automatically assigned DDC number: 00631

Manually assigned DDC number: 00631

Number of references: 8

Title: Learning Organizational Roles in a Heterogeneous Multi-agent System

Author:

Author:

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Subject: M. V. Nagendra Prasad,Victor R. Lesser,Susan E. L Learning Organizational Roles in a Heterogeneous Multi-agent System

Description: This paper presents studies in learning a form of organizational knowledge called organizational roles in a multi-agent agent system. It attempts to demonstrate the viability and utility of self-organization in an agent-based system involving complex interactions within the agent set. We present a multi-agent parametric design system called L-TEAM where a set of heterogeneous agents learn their organizational roles in negotiated search for mutually acceptable designs. We tested the system on a steam condenser design domain and empirically demonstrated its usefulness. LTEAM produced better results than its non-learning predecessor, TEAM, which required elaborate knowledge engineering to hand-code organizational roles for its agent set. In addition, we discuss experiments with L-TEAM that highlight the importance of certain learning issues in multi-agent systems. Introduction Requirements like reusability of legacy systems and heterogeneity of agent representations lead to a number of c...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1996-08-27

Pubyear: 1996

Format: ps

Identifier: http://citeseer.ist.psu.edu/161710.html

Source: ftp://dis.cs.umass.edu/pub/or-icmas96-naghi.ps

Language: en

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Rights: unrestricted

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