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CI
2005
106views more  CI 2005»
15 years 4 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
CORR
2004
Springer
180views Education» more  CORR 2004»
15 years 4 months ago
Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
Vitorino Ramos, Juan J. Merelo Guervós
ENTCS
2002
144views more  ENTCS 2002»
15 years 4 months ago
Logics and Multi-agents: towards a new symbolic model of cognition
Abstract The last edition of CLIMA, held in 2001 in Paphos (Cyprus) ended with a panel session on the role of Computational Logic (CL) in Multi-Agent Systems (MAS). Two dimensions ...
Paolo Torroni
SIGMETRICS
2002
ACM
105views Hardware» more  SIGMETRICS 2002»
15 years 4 months ago
Modeling and analysis of dynamic coscheduling in parallel and distributed environments
Scheduling in large-scale parallel systems has been and continues to be an important and challenging research problem. Several key factors, including the increasing use of off-the...
Mark S. Squillante, Yanyong Zhang, Anand Sivasubra...
BPSC
2010
194views Business» more  BPSC 2010»
15 years 3 months ago
Ad-hoc Management Capabilities for Distributed Business Processes
: Advanced business processes are mostly distributed and require highly flexible management capabilities. In such scenarios, process parts often leave their initiator’s direct sp...
Sonja Zaplata, Dirk Bade, Kristof Hamann, Winfried...
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