by P. Brazdil, M. Gams, L. Torgo
http://www.liacc.up.pt/~ltorgo/Papers/LDSME.ps.gz
Add To MetaCart
Abstract:
The paper begins with the discussion on why we should be concerned with machine learning in the context of distributed AI. The rest of the paper is dedicated to various problems of multi-agent learning. First, a common framework for comparing different existing systems is presented. It is pointed out that it is useful to distinguish when the individual agents communicate. Some systems communicate during the learning phase, others during the problem solving phase, for example. It is also important to consider how, that is in what language, the communication is established. The paper analyses several systems in this framework. Particular attention is paid to previous work done by the authors in this area. The paper covers use of redundant knowledge, knowledge integration, evaluation of hypothesis by a community of agents and resolution of language differences between agents.
Citations
|
132
|
Cooperative distributed problem solving
– Durfee, Lesser, et al.
- 1989
|
|
74
|
A case study of incremental concept induction
– immer, Fisher
- 1986
|
|
73
|
Becoming increasingly reactive
– Mitchell
- 1990
|
|
65
|
ID5: An incremental ID3
– Utgoff
- 1988
|
|
30
|
New measurements highlight the importance of redundant knowledge
– Gams
- 1989
|
|
21
|
Knowledge Acquisition via Knowledge Integration
– Brazdil, Torgo
- 1990
|
|
20
|
Extending learning to multiple agents: Issues and a model for multi-agent machine learning (ma-ml
– Sian
- 1991
|
|
19
|
Adaptation Based on Cooperative Learning in Multi-Agent Systems
– Sian
- 1991
|
|
7
|
Learning to relate terms in a Multiple Agent Environment
– Brazdil, Muggleton
- 1991
|
|
5
|
Knowledge Acquisition: Some Foundations, manual Methods and Future Trends
– Shaw, Gaines
- 1989
|
|
4
|
The AQ16 Inductive Learning Program: Some Experimental Results with AQ16 and Other Symbolic and Nonsymbolic Programs", Rep
– Janikow
- 1989
|
|
2
|
A Multi-Agent Environment
– Oliveira, Camacho, et al.
- 1990
|
|
1
|
A Model for Negotiation in Intelligent Tutoring Dialogs
– Baker
- 1991
|
|
1
|
1889): "Learning Classification Rules Using Bayes
– Buntine
|
|
1
|
A Schema for Using Multiple Knowledge, Working Paper, Jozef Stefan Institute
– Gams, Bohanec, et al.
- 1990
|
