1047 search results - page 62 / 210 » Learning the required number of agents for complex tasks |
ECML
1993
Springer
13 years 12 months ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
AGENTS
1999
Springer
14 years 2 days ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
AGENTS
1997
Springer
13 years 12 months ago
1997
Springer
Downsizing the number of operators controlling complex systems can increase the decision-making demands on remaining operators, particularly in crisis situations. An answer to thi...
AGENTS
2001
Springer
14 years 9 days ago
2001
Springer
Real-time control has become increasingly important as technologies are moved from the lab into real world situations. The complexity associated with these systems increases as co...
AMT
2010
Springer
13 years 9 months ago
2010
Springer
Developing complex robotic systems endowed with self-conscious abilities and subjective experience is a hard requirement to face at design time. This paper deals with the developme...