Proceedings

Stochastic Search and Phase Transitions: AI Meets Physics

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Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Invited Speakers. Pages 998-1001.

Abstract

Computationally hard instances of combinatorial problems arise at a certain critical ratio of constraints to variables. At the critical ratio, problem distributions undergo dramatic changes. I will discuss how an analogous phenomenon occurs in phase transitions studied in physics, and how experiments with critically constrained problems have led to surprising new insights into average-case complexity and stochastic search methods in AI.

Bart Selman. 1995. Stochastic Search and Phase Transitions: AI Meets Physics. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 998–1001. https://ijcai.org/proceedings/1995/130
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