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NIPS
2003
15 years 7 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh
ECAI
1992
Springer
15 years 10 months ago
Phenomenology, Representations and Complexity
Abstract. The paper refutes the general phenomenological argument that knowledge cannot be completely represented by symbols and, hence, symbolic AI does not work. Moreover, the vi...
Achim G. Hoffmann
COGSCI
2008
75views more  COGSCI 2008»
15 years 4 months ago
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
Michael D. Lee, Wolf Vanpaemel
MI
1993
15 years 7 months ago
Putting knowledge rich plan representations to use
AI planning research is now maturing and nding practical application in the commercial, industrial, engineering and defence sectors. This has led to a rapid expansion in the last ...
Austin Tate
CL
2000
Springer
15 years 10 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole