Prospects for E-Collaboration with Artificial Partners

Prospects for E-Collaboration with Artificial Partners

Kathleen Keogh (The University of Ballarat, Australia) and Liz Sonenberg (The University of Melbourne, Australia)
Copyright: © 2008 |Pages: 6
DOI: 10.4018/978-1-59904-000-4.ch075
OnDemand PDF Download:
$37.50

Abstract

Recent work shows that there is interest in how individual artificial agents can work in successful competitive and collaborative teams including people and other agents. Applications involving competing agents include online auctions. Applications for collaborative teams include remote space missions, disaster recovery (e.g., to coordinate a rescue mission) and helping organize appointments for a team of people (Pynadath & Tambe, 2003); as an aid to independent living developing teams of health carers, including artificial carers (Wagner, Guralnik, & Phelps, 2002); in command and control as coordination and communication assistants (Fan et al., 2005); and pedagogical agents in teaching systems (e.g., Shaw, Ganeshan, Johnson & Millar, 1999; Feng, Shaw, Kim & Hovy, 2006).

Key Terms in this Chapter

Agent: a software entity situated in an environment and capable of acting to change the environment.

RPD: Recognition primed decision making, a model of expert decision making (Klein, 1993).

SA: Situation awareness, awareness of current state of the world situated in time and space.

BDI: Beliefs, desires, and intentions, an architecture for agent design.

KB: Knowledge base.

ACL: Agent communication language.

MAS: Multi-agent system, a set of agents interacting, potentially involving cooperation, coordination and negotiation.

Collaboration: cooperative work between two or more individuals/agents.

Complete Chapter List

Search this Book:
Reset