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Agent-Based Computing: Promise and Perils

Agent-Based Computing: Promise and Perils
Agent-Based Computing: Promise and Perils
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more genrally, Computer Science. It has the potential to significantly improve the theory and practice of modelling, designing and implementing complex systems. Yet, to date, there has been little systematic analysis of what makes an agent such an appealing and powerful conceptual model. Moreover, even less effort has been devoted to exploring the inherent disadvantages that stem from adopting an agent-oriented view. Here both sets of issues are explored. The standpoint of this analysis is the role of agent-based software in solving complex, real-world problems. In particular, it will be argued that the development of robust and scalable software systems requires autonomous agents that can complete their objectives while situated in a dynamic and uncertain environment, that can engage in rich, high-level social interactions, and that can operate within flexible organisational structures.
1429-1436
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Jennings, N. R. (1999) Agent-Based Computing: Promise and Perils. 16th Int. Joint Conf. on Artificial Intelligence (IJCAI-99), Sweden. pp. 1429-1436 .

Record type: Conference or Workshop Item (Paper)

Abstract

Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more genrally, Computer Science. It has the potential to significantly improve the theory and practice of modelling, designing and implementing complex systems. Yet, to date, there has been little systematic analysis of what makes an agent such an appealing and powerful conceptual model. Moreover, even less effort has been devoted to exploring the inherent disadvantages that stem from adopting an agent-oriented view. Here both sets of issues are explored. The standpoint of this analysis is the role of agent-based software in solving complex, real-world problems. In particular, it will be argued that the development of robust and scalable software systems requires autonomous agents that can complete their objectives while situated in a dynamic and uncertain environment, that can engage in rich, high-level social interactions, and that can operate within flexible organisational structures.

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More information

Published date: 1999
Additional Information: [Computers and Thought Award invited paper]
Venue - Dates: 16th Int. Joint Conf. on Artificial Intelligence (IJCAI-99), Sweden, 1999-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 252172
URI: https://eprints.soton.ac.uk/id/eprint/252172
PURE UUID: c4ac07f5-62ed-4917-827d-cfa6308d1dc8

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Date deposited: 03 Dec 2002
Last modified: 09 Dec 2019 20:19

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