Abstract of FKI-189-94

Document-Name:  FKI-189-94 (not available via ftp)
Title:		Some Studies in Distributed Machine Learning and 
                Organizational Design
Authors:	Gerhard Weiss 
Revision-Date:	1994/28/02
Category:	Technical Report (Forschungsberichte Künstliche Intelligenz)
Abstract:	This article focusses on the intersection of distributed
                machine learning and organizational design in the context of 
                multi-agent systems. A computational approach to distributed 
                reinforcement learning from experience and interaction is 
                described and analyzed. According to this approach, multiple 
                agents coordinate their actions by collectively learning 
                appropriate instantiations of one of the most fundamental 
                organizational structures, namely, hierarchically arranged 
                groups of compatible agents. Distributed learning encompasses 
                two interrelated processes: credit assignment (i.e., the
                process of approximating the goal relevance of the agents' 
                and the groups' activities) and group development (i.e., the 
                process of creating new and dissolving old groups). The 
                approach is formalized in an algorithm called DFG.
                Theoretical and experimental results are presented which 
                demonstrate the learning abilities of this approach.
                The approach is discussed and research directions are 
Keywords:       Multi-agent systems, distributed machine learning, 
                organizational design
Size:		20 pages
Language:	English
ISSN:		0941-6358
Copyright:	The ``Forschungsberichte Künstliche Intelligenz''
		series includes primarily preliminary publications,
		specialized partial results, and supplementary
		material. In the interest of a subsequent final
		publication these reports should not be copied. All
		rights and the responsability for the contents of the
		report are with the authors, which would appreciate
		critical comments.

Gerhard Weiss