Abstract
Automated intelligent agents inhabiting a shared environment must coordinate their activities. Cooperation - not merely coordination - may improve the performance of the individual agents or the overall behavior of the system they form. Research in Distributed Artificial Intelligence (DAI) addresses the problem of designing automated intelligent systems which interact effectively. DAI is not the only field to take on the challenge of understanding cooperation and coordination. There are a variety of other multi-entity environments in which the entities coordinate their activity and cooperate. Among them are groups of people, animals, particles, and computers. We argue that in order to address the challenge of building coordinated and collaborated intelligent agents, it is beneficial to combine AI techniques with methods and techniques from a range of multi-entity fields, such as game theory, operations research, physics and philosophy. To support this claim, we describe some of our projects, where we have successfully taken an interdisciplinary approach. We demonstrate the benefits in applying multi-entity methodologies and show the adaptations, modifications and extensions necessary for solving the DAI problems.
| Original language | English |
|---|---|
| Pages (from-to) | 79-97 |
| Number of pages | 19 |
| Journal | Artificial Intelligence |
| Volume | 94 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - Jul 1997 |
Bibliographical note
Funding Information:I would like to thank the many people who, over the years, have collaborated with me: C. Bat-al, E. Blake, P. Bonatti, E. Ephrati, A. Evenchik, D. Etherington, M. Fenster, B. Grosz, M. Harris, J. Hendler, K. Holley, J. Horty, D. Lehmann, G. Lemel, M. Magidor, J. Minker, M. Nirkh, D. Perlis, T. Plotkin, J. Rosenschein, A. Schwartz, 0. Shehory, Y. Shoham, S. Subrahmanian,K . Sycara, B. Thomas, J. Wilkenfeld, and G. Zlotkin. Our joint work influenced my thinking on cooperationa nd coordination. I would like to thank Barbara Grosz, Martha Pollack, Jonathan Wilkenfeld, Onn Shehory and Orna Schechter, each of whom also provided help and support while I was preparing the Computers and Thought lecture and this paper. Special thanks to Dr. Shifra Hochberg for editorial assistance. This work was supportedb y the NSF under Grants No. IRI-9423967 and IRI-9311988 and the Israeli Ministry of Science, Grants No. 6288 and 4210.
Funding
I would like to thank the many people who, over the years, have collaborated with me: C. Bat-al, E. Blake, P. Bonatti, E. Ephrati, A. Evenchik, D. Etherington, M. Fenster, B. Grosz, M. Harris, J. Hendler, K. Holley, J. Horty, D. Lehmann, G. Lemel, M. Magidor, J. Minker, M. Nirkh, D. Perlis, T. Plotkin, J. Rosenschein, A. Schwartz, 0. Shehory, Y. Shoham, S. Subrahmanian,K . Sycara, B. Thomas, J. Wilkenfeld, and G. Zlotkin. Our joint work influenced my thinking on cooperationa nd coordination. I would like to thank Barbara Grosz, Martha Pollack, Jonathan Wilkenfeld, Onn Shehory and Orna Schechter, each of whom also provided help and support while I was preparing the Computers and Thought lecture and this paper. Special thanks to Dr. Shifra Hochberg for editorial assistance. This work was supportedb y the NSF under Grants No. IRI-9423967 and IRI-9311988 and the Israeli Ministry of Science, Grants No. 6288 and 4210.
| Funders | Funder number |
|---|---|
| National Science Foundation |
Keywords
- Cooperation
- Distributed Artificial Intelligence
- Multi-agent systems
- Negotiation