Representing and Reasoning with Defaults for Learning Agents
Benjamin N. Grosof
AAAI-SS 1993
Projection of polyhedral sets is a fundamental operation in both geometry and symbolic computation. In most cases, however, it is not practically feasible to generate projections as the size of the output can be exponential in the size of the input. Even when the size of the output is manageable, we still face two serious problems: overwhelming redundancy and degeneracy. Here, we address these problems from a practical point of view. We discuss three algorithms based on algebraic and geometric techniques and we compare their performance in order to assess the feasibility of these approaches. © 1992 J.C. Baltzer A.G. Scientific Publishing Company.
Benjamin N. Grosof
AAAI-SS 1993
Hironori Takeuchi, Tetsuya Nasukawa, et al.
Transactions of the Japanese Society for Artificial Intelligence
Ryan Johnson, Ippokratis Pandis
CIDR 2013
Segev Shlomov, Avi Yaeli
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