A Multi-Agent ODSS Architecture for Supporting Distributed Decision-Making

Authors: Elofson G.¹; Thomas P.²; Konsynski B.R.¹

Source: Group Decision and Negotiation, Volume 7, Number 3, May 1998 , pp. 229-247(19)

Publisher: Springer

Buy & download fulltext article:

Price: $47.00 plus tax (Refund Policy)

Abstract:

In this paper, we present an architecture of an ODSS that focuses on organizational learning to enhance the organization's memory and distribution of the organization's intelligence throughout the organization to the various units that need it in their decision-making process. Learning in this ODSS is done by multiple intelligent agents that are designed to gather, accumulate and classify information in order to assist the decision-maker.

Keywords: intelligent agent; ODSS; architecture; organizational learning; decision-making

Language: English

Document Type: Regular paper

Affiliations: 1: Emory University, 302 Rich Bldg., Atlanta, Georgia, USA 2: Upgrade Corporation of America, 699 Hertel Avenue, Buffalo, New York

Publication date: 1998-05-01