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» Learning humanoid reaching tasks in dynamic environments
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JUCS
2008
145views more  JUCS 2008»
14 years 9 months ago
Development of Ambient Intelligence Systems Based on Collaborative Task Models
: So far, the Ambient Intelligence (AmI) paradigm has been applied to the development of a great variety of real systems. They use advanced technologies such as ubiquitous computin...
Roberto F. Arroyo, Miguel Gea, José Luis Ga...
AAAI
2000
14 years 11 months ago
Inter-Layer Learning Towards Emergent Cooperative Behavior
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
Shawn Arseneau, Wei Sun, Changpeng Zhao, Jeremy R....
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
14 years 10 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
ECTEL
2006
Springer
15 years 1 months ago
Simulation as Efficient Support to Learning Business Dynamics
Abstract. The aim of this paper is to provide insight in the important role simulation technologies can play in the context of effective business process-oriented learning. The gap...
Alexander Karapidis, Lucia Pannese, Dimitra Pappa,...
CI
2005
106views more  CI 2005»
14 years 9 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