Intelligent agents in the physical world must work from incomplete information due to partial knowledge and limited resources. An agent copes with these limitations by applying rules of conjecture to make reasonable assumptions about what is known. Circumscription, proposed by…

Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

Three important trends - unrelenting globalization, growing worldwide electronic connectivity, and increasing knowledge intensity of economic activity - are creating new opportunities for global politics, with challenging demands for information access, interpretation, provision and overall use. This has serious implications…

This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…

(cont.) to the verifier., We consider an implementation of a weakened notion of zero-knowledge (weak ZK) where the simulator is also allowed to depend on the distinguisher as well, so this type of ZK entails exhibiting an efficient simulator for…

The Phase Space is a powerful tool for representing and reasoning about the qualitative behavior of nonlinear dynamical systems. Significant physical phenomena of the dynamical system---periodicity, recurrence, stability and the like---are reflected by outstanding geometric features of the trajectories in…

Explanation-based learning occurs when something useful is retained from an explanation, usually an account of how some particular problem can be solved given a sound theory. Many real-world explanations are not based on sound theory, however, and wrong things may…

by Robert J. Grochowski., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1988., Includes bibliographical references.

There are many situations in which a very detailed low-level description encodes, through a hierarchical organization, a recognizable higher-order pattern. The macro-molecular structural conformations of proteins exhibit higher order regularities whose recognition is complicated by many factors. ARIADNE searches for…

Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees generated by these methods are accurate and efficient, they often suffer the disadvantage of excessive complexity that can render them incomprehensible to experts.…