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...
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...
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...
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 ...
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...