Title :
Genetic algorithms for automated negotiations: a FSM-based application approach
Author :
Tu, M.T. ; Wolff, E. ; Lamersdorf, W.
Author_Institution :
Dept. of Comput. Sci., Hamburg Univ., Germany
Abstract :
An approach to implement strategies for automated negotiations in electronic commerce applications is presented. It is based on genetic algorithms (GAs) that evolve FSMs (finite state machines). Each of these FSMs represents a negotiation strategy that competes against other strategies and is modified over time according to the outcome of this competition by using GA principles. The paper gives an overview of negotiating agents and work related to the paper. Then the application of genetic algorithms to FSMs is presented and relevant details on the implementation are given
Keywords :
Internet; electronic commerce; finite state machines; genetic algorithms; negotiation support systems; software agents; FSM based application approach; GA principles; automated negotiations; electronic commerce applications; finite state machines; genetic algorithms; negotiating agents; negotiation strategy; Application software; Automata; Computer science; Concrete; Electronic commerce; Genetic algorithms; Genetic mutations; Humans; Mobile agents; Software agents;
Conference_Titel :
Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
Conference_Location :
London
Print_ISBN :
0-7695-0680-1
DOI :
10.1109/DEXA.2000.875153
