On Fuzzy e-Negotiation Agents: Autonomous negotiation with incomplete and
imprecise information
Ryszard Kowalczyk
Applied Artificial Intelligence, CMIS
Friday, 28th April 2000
0930 - 1100
Conference Room
CSIRO Mathematical & Information Sciences
Ground Floor, 723 Swanston Street, Melbourne.
Abstract:
I will present some aspects of Fuzzy e-Negotiation Agents (FeNAs) for autonomous
multi-issue negotiation in the presence of limited common knowledge and
imprecise/soft constraints and preferences. FeNAs use principles
of utility theory and fuzzy constraint-based reasoning in order to find
a consensus that maximizes an agent's utility at the highest possible level
of fuzzy constraint satisfaction subject to its acceptability by other
agents. The capabilities of FeNAs for multi-issue integrative negotiation
will be illustrated with two scenarios for negotiating document translation
services and used car trading. I'll also outline the applicability
of the presented approach for multi-agent coordination and negotiation
with varying level of common knowledge shared between the agents.
Biosketch:
Ryszard Kowalczyk is a Principal Research Scientist with CSIRO Mathematical
and Information Sciences. His research interests include Soft Computing
techniques (fuzzy systems, constraint-based reasoning and evolutionary
computation) in collaborative and competitive decision making, with application
to Agent Mediated e-Commerce.