𝔖 Bobbio Scriptorium
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Phase transitions in artificial intelligence systems

✍ Scribed by Bernardo A. Huberman; Tad Hogg

Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
915 KB
Volume
33
Category
Article
ISSN
0004-3702

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✦ Synopsis

We predict that large-scale artificial intelligence systems and cognitive models will undergo sudden phase transitions from disjointed parts into coherent structures as their topological connectivity increases beyond a critical value. These situations, ranging from production systems to semantic net computations, are characterized by event horizons in space-time that determine the range of causal connections between processes. At transition, these event horizons undergo explosive changes in size. This phenomenon, analogous to phase transitions in nature, provides a new paradigm with which to analyze the behavior of large-scale computation and determine its generic features.

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