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AGENTS
1998
Springer
13 years 11 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
IAT
2008
IEEE
14 years 1 months ago
Evolving Logic Programming Based Agents with Temporal Operators
Logic Programming Update Languages were proposed as an extension of logic programming, which allow for modelling the dynamics of knowledge bases where both extensional knowledge (...
José Júlio Alferes, Alfredo Gabaldon...
IAT
2003
IEEE
14 years 20 days ago
Living with Dynamic Concepts in Dynamic Environments Intelligent Agents that Adapt Themselves
In this paper a dynamic perspective on concepts for intelligent agents is propagated. The discussion on the nature of concepts can be simplified to a dichotomy between objective/...
Matthias Rehm
AI
2000
Springer
13 years 7 months ago
Understanding dynamic scenes
We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, und...
Antonio Chella, Marcello Frixione, Salvatore Gagli...
ICMLA
2010
13 years 5 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson