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4th IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)

作者： Smith, James Henderson, Chris Bansal, Ajay Arizona State Univ Fulton Sch Engn Mesa AZ 85212 USA

ISBN: (纸本)9781665437363

Search is one of the more common strategies used by problem-solving agents. For many hard problems, a backtracking search can be the most effective approach for finding a solution. Logic programming languages provide, as a core feature of the language, the mechanics for the search behind the scenes without requiring the user to specify the algorithm. However, this functionality has been generally left out of the core features of imperative programming languages. In this work we propose integrating a search agent into an imperative programming language through a search construct in the syntax. By doing so, our intention is that the user may apply a model-based approach to problem solving. We extend the Go programming language with this search construct and develop an agent to perform the search. The algorithm behind the search is implicitly handled by the agent. We demonstrate the effectiveness of this search construct through solutions to an exhaustive search over a file-system, the NQueens problem, and the monkey and the bananas problem.

关键词： Declarative programming Imperative programming problem-solving agent search agent backtracking search

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A Generalized Search Construct for Imperative Languages to Facilitate Declarative Programming

引用

INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING 2022年第3期16卷 315-338页

作者： Smith, James Henderson, Chris Bansal, Ajay Arizona State Univ Sch Comp & Augmented Intelligence 1151 S Forest Ave Tempe AZ 85282 USA

Search is one of the more common strategies used by problem-solving agents. For many hard problems, a backtracking search can be the most effective approach for finding a solution. Logic programming languages provide, as a core feature of the language, the mechanics for the search behind the scenes without requiring the user to specify the algorithm. However, this functionality has been generally left out of the core features of imperative programming languages. In this work, we propose integrating a search agent into an imperative programming language through a search construct in the syntax. By doing so, our intention is that the user may apply a declarative approach to problem solving. We extend the Go programming language with this search construct and develop an agent to perform the search. The algorithm behind the search is implicitly handled by the agent. We demonstrate the effectiveness of this search construct through solutions to an exhaustive search over a file-system, the NQueens problem, and the monkey and the bananas problem. To evaluate the performance of our agent, we compare its runtime performance against two of the common Prolog implementations, SWI-Prolog and GNU Prolog.

关键词： Declarative programming imperative programming problem-solving agent search agent backtracking search

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