In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
When dealing with signals from complex environments, where multiple time-dependent signal signatures can interfere with each other in stochastically unpredictable ways, traditiona...
Tools for mining information from data can create added value for the Internet. As the majority of electronic documents available over the network are in unstructured textual form...
Automated problem solving is viewed typically as the expenditure of computation to solve one or more problems passed to a reasoning system. In response to each problem received, e...
This paper describes an approach for representing and manipulating sequences in description logics (DLs). The key idea is to represent sequences using sux trees, then represent t...
1 We have constructed a team of intelligent agents that perform the tasks of an attack helicopter company for a synthetic battlefield environment used for running largescale milita...
Randall W. Hill Jr., Johnny Chen, Jonathan Gratch,...
In this paper we review the historical developmentof computerchess and discuss its impactonthe conceptof intelligence. Withthe adventof electronic computersafter the Second WorldW...
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...