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AI
2002
Springer
15 years 6 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
AI
2000
Springer
15 years 6 months ago
Alternative foundations for Reiter's default logic
We introduce an alternative conceptual basis for default reasoning in Reiter's default logic. In fact, most formal or computational treatments of default logic suffer from th...
Thomas Linke, Torsten Schaub
AROBOTS
2000
96views more  AROBOTS 2000»
15 years 6 months ago
Hierarchic Social Entropy: An Information Theoretic Measure of Robot Group Diversity
As research expands in multiagent intelligent systems, investigators need new tools for evaluating the artificial societies they study. It is impossible, for example, to correlate ...
Tucker R. Balch
AI
1999
Springer
15 years 6 months ago
Topological Inference of Teleology: Deriving Function from Structure via Evidential Reasoning
Reasoning about the physical world is a central human cognitive activity. One aspect of such reasoning is the inference of function from the structure of the artifacts one encount...
John O. Everett
AI
1999
Springer
15 years 6 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...