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» Symbol Grounding and its Implications for Artificial Intelli...
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AI
2007
Springer
13 years 8 months ago
Multi-agent learning and the descriptive value of simple models
Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The current note discusses the ...
Ido Erev, Alvin E. Roth
KI
2001
Springer
14 years 1 months ago
Extracting Situation Facts from Activation Value Histories in Behavior-Based Robots
The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which compris...
Frank Schönherr, Mihaela Cistelecan, Joachim ...
KR
2004
Springer
14 years 2 months ago
Observation Expectation Reasoning in Agent Systems
The computational grounding problem – the gap between the mental models of an agent and its computational model – is a well known problem within the agent research community. ...
Bình Vu Trân, James Harland, Margaret...
FLAIRS
2007
13 years 11 months ago
Guiding Inference with Policy Search Reinforcement Learning
Symbolic reasoning is a well understood and effective approach to handling reasoning over formally represented knowledge; however, simple symbolic inference systems necessarily sl...
Matthew E. Taylor, Cynthia Matuszek, Pace Reagan S...
AIPS
2009
13 years 9 months ago
Semantic Attachments for Domain-Independent Planning Systems
Solving real-world problems using symbolic planning often requires a simplified formulation of the original problem, since certain subproblems cannot be represented at all or only...
Christian Dornhege, Patrick Eyerich, Thomas Keller...