Abstract:
. A framework for coordination in multi-agent systems is introduced. The main idea of our framework is that an agent with knowledge about the desired behavior in a certain domain will direct other, domainindependent agents by means of signals which reflect its evaluation of the coordination between its own actions and their actions. Mechanisms for coordination are required to enable construction of open multi-agent systems. The goal of this investigation was to test the feasibility of guiding an agent with coordination evaluation signals, and furthermore to gather experience with instantiating the framework on a testbed domain, the Pursuit Problem. In the testbed system, agents have been created which choose their actions by maximizing the coordination evaluation signals they will receive. The performance of these agents turned out to rank among the best results encountered in literature, and behavior guided by coordination evaluation signals can thus be concluded to be useful in this ...
Citations
|
1544
|
Object-Oriented Modeling and Design
– Rumbaugh, Blaha, et al.
- 1991
|
|
455
|
The Society of Mind
– Minsky
- 1986
|
|
193
|
The Tree of Knowledge: The Biological Roots of Human Understanding
– Maturana, Varela
- 1992
|
|
127
|
Learning to Coordinate without Sharing Information
– Sen, Sekaran, et al.
- 1994
|
|
64
|
On optimal cooperation of knowledge sources
– Benda, Jagannathan, et al.
- 1986
|
|
64
|
Cooperation without communication
– Gensereth, Ginsberg
- 1986
|
|
36
|
A simple solution to pursuit games
– Korf
- 1992
|
|
30
|
Coordination without Communication: Experimental Validation of Focal Point Techniques
– Fenster, Kraus, et al.
- 1995
|
|
26
|
The effect of agent control strategy on the performance of a dai pursuit problem
– Stephens, Merx
- 1990
|
|
25
|
Multiagent coordination with learning classifier systems
– Sen, Sekaran
- 1995
|
|
11
|
The role of representation in interaction: Discovering focal points among alternative solutions
– Kraus, Rosenschein
- 1992
|
|
8
|
A game theoretic approach to distributed artificial intelligence and the pursuit problem
– Levy, Rosenschein
- 1992
|
|
3
|
Cognitive architectures - from knowledge level to structural coupling
– Velde
- 1995
|
|
2
|
Learning in distributed systems and multi-agent environments
– Brazdil, Gams, et al.
- 1991
|
|
1
|
Ai-memo 97-05
– Jong
- 1997
|