2440 search results - page 40 / 488 » Learn .MT: A New Approach to Incremental Learning |
ASPDAC
2005
ACM
15 years 1 months ago
2005
ACM
－ It is a hotly research topic to eliminate irrelevant variables from counterexample, to make it easier to be understood. BFL algorithm is the most effective Counterexample minim...
ML
1998
ACM
14 years 11 months ago
1998
ACM
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
CIMCA
2005
IEEE
15 years 5 months ago
2005
IEEE
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions...
112
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ECTEL
2006
Springer
15 years 3 months ago
2006
Springer
More and more CoPs have chosen virtual environments and services to support their activities. However, recent research has underlined several problems: the lack of adequate scaffol...
ADMI
2009
Springer
15 years 6 months ago
2009
Springer
In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic ...