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» The Many Faces of Agents
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JUCS
2008
180views more  JUCS 2008»
15 years 6 months ago
The APS Framework For Incremental Learning of Software Agents
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
Damian Dudek
EUMAS
2006
15 years 7 months ago
Agents Arguing over Ontology Alignments
ed Abstract Ontologies play an important role in inter-agent communication, by providing the definitions of the vocabularies used by agents to describe the world [4]. An agent can ...
Loredana Laera, Valentina A. M. Tamma, Jér&...
ICAART
2010
INSTICC
16 years 3 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
ICCBR
2005
Springer
15 years 12 months ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller
ATAL
2004
Springer
15 years 11 months ago
The Insufficiency of Formal Design Methods - The Necessity of an Experimental Approach - for the Understanding and Control of Co
We highlight the limitations of formal methods by exhibiting two results in recursive function theory: that there is no effective means of finding a program that satisfies a given...
Bruce Edmonds, Joanna Bryson