Title

Conflict Resolution And A Framework For Collaborative Interactive Evolution

Abstract

Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power of the genetic algorithm (GA). Here, we articulate a framework for an extension of IEC into collaborative interactive evolution, in which multiple users guide the evolutionary process. In doing so, we introduce the ability for users to combine their efforts for the purpose of evolving effective solutions to problems. This necessarily gives rise to the possibility of conflict between users. We draw on the salient features of the GA to resolve these conflicts and lay the foundation for this new paradigm to be used as a tool for conflict resolution in complex group-wise human-computer interaction tasks. Copyright © 2006, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.

Publication Date

11-13-2006

Publication Title

Proceedings of the National Conference on Artificial Intelligence

Volume

1

Number of Pages

512-517

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

33750691656 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33750691656

This document is currently not available here.

Share

COinS