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Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not ne...
Abstract— Polling policies have been introduced to simplify the accessing process in client/server systems by a centralized control access scheme. This paper considers a client/s...
Georgios I. Papadimitriou, Athena Vakali, Andreas ...
In this paper, we describe the n-dimensional projective approach as a hierarchical and modular architecture with a processing mechanism that underlies both spatial backtracking an...
The question addressed in this paper is which types of spatial reference human users employ in the interaction with a robot and how a cognitively adequat model of these strategies...
In this paper, we address the problem of consistency checking for Euclidean spatial constraints. A dimension graph representation is proposed to maintain the Euclidean spatial con...
One reason why Case-Based Reasoning (CBR) has become popular is because it reduces development cost compared to rule-based expert systems. Still, the knowledge engineering effort ...