Communications of the ACM
An analysis of first-order logics of probability
Artificial Intelligence
Proceedings of the seventh international conference (1990) on Machine learning
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Proceedings of the first international conference on Principles of knowledge representation and reasoning
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Chunking in Soar: The Anatomy of a General Learning Mechanism
Machine Learning
Explanation-Based Generalization: A Unifying View
Machine Learning
AMORD explicit control of reasoning
Proceedings of the 1977 symposium on Artificial intelligence and programming languages
TARK '86 Proceedings of the 1986 conference on Theoretical aspects of reasoning about knowledge
Concurrent reactive plans: anticipating and forestalling execution failures
Concurrent reactive plans: anticipating and forestalling execution failures
Robotics software frameworks for multi-agent robotic systems development
Robotics and Autonomous Systems
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This paper is specifically concerned with the topic of limited rationality--- the generation of utility-maximizing behaviour in a non-static environment by a system with finite computational resources. The design of the RALPH (Rational Agent with Limited Performance Hardware) architecture aims to tie together, in a unified theoretical framework and a single system design, three strands of research relevant to this problem: the study of metareasoning procedures, that is, decision procedures that select computations to direct the course of another decision procedure; the compilation of decision processes that explicitly maximize utility into efficiently-executable policies and goals, and their integration into the decision procedure; and the generation of planning behaviour, directed towards an explicitly-represented goal, in the context of decision theory. Decision procedures are implemented by four distinct execution architectures, running in parallel, each characterized by the types of knowledge employed. Only fragments of the architecture are currently implemented, but some progress has been made on the individual topics.