Journal ArticleDOI
Planning in a hierarchy of abstraction spaces
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Examples of the ABSTRIPS system's performance are presented that demonstrate the significant increases in problem-solving power that this approach provides, and some further implications of the hierarchical planning approach are explored.About:
This article is published in Artificial Intelligence.The article was published on 1974-06-01. It has received 1239 citations till now. The article focuses on the topics: Analytical hierarchy & Hierarchy.read more
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Journal ArticleDOI
Intelligent Agents: Theory and Practice
TL;DR: Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents as discussed by the authors ; agent architectures can be thought of as software engineering models of agents; and agent languages are software systems for programming and experimenting with agents.
Journal ArticleDOI
Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
TL;DR: It is shown that options enable temporally abstract knowledge and action to be included in the reinforcement learning frame- work in a natural and general way and may be used interchangeably with primitive actions in planning methods such as dynamic pro- gramming and in learning methodssuch as Q-learning.
Book
Machine Learning: An Artificial Intelligence Approach
TL;DR: This book contains tutorial overviews and research papers on contemporary trends in the area of machine learning viewed from an AI perspective, including learning from examples, modeling human learning strategies, knowledge acquisition for expert systems, learning heuristics, discovery systems, and conceptual data analysis.
Journal ArticleDOI
Learning to Think Mathematically: Problem Solving, Metacognition, and Sense Making in Mathematics (Reprint):
TL;DR: A review of the literature on problem solving and metacognition can be found in this article, where the authors outline and substantiate a broad conceptualization of what it means to think mathematically, summarize the literature relevant to understanding mathematical thinking and problem solving, and point to new directions in research, development and assessment.
Book ChapterDOI
Agent theories, architectures, and languages: a survey
TL;DR: A survey of what the authors perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents is presented.
References
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Book ChapterDOI
Some philosophical problems from the standpoint of artificial intelligence
TL;DR: In this paper, the authors consider the problem of reasoning about whether a strategy will achieve a goal in a deterministic world and present a method to construct a sentence of first-order logic which will be true in all models of certain axioms if and only if a certain strategy can achieve a certain goal.
Journal ArticleDOI
Strips: A new approach to the application of theorem proving to problem solving
Richard Fikes,Nils J. Nilsson +1 more
TL;DR: In this paper, the authors describe a problem solver called STRIPS that attempts to find a sequence of operators in a space of world models to transform a given initial world model in which a given goal formula can be proven to be true.
Book
How to Solve It
TL;DR: Here is a familiar problem having the same or similar unknwn form and here is a problem similar to yours and solved before.
Journal ArticleDOI
Learning and executing generalized robot plans
TL;DR: Some major new additions to the STRIPS robot problem-solving system are described, including a process for generalizing a plan produced by STriPS so that problem-specific constants appearing in the plan are replaced by problem-independent parameters.