The New AI: General & Sound & Relevant for Physics

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Most traditional artificial intelligence (AI) systems of the past 50 years are either very limited, or based on heuristics, or both. The new millennium, however, has brought substantial progress in the field of theoretically optimal and practically feasible algorithms for prediction, search, inductive inference based on Occam's razor, problem solving, decision making, and reinforcement learning in environments of a very general type. Since inductive inference is at the heart of all inductive sciences, some of the results are relevant not only for AI and computer science but also for physics, provoking nontraditional predictions based on Zuse's thesis of the computer-generated universe.
Original languageEnglish (US)
Pages (from-to)175-198
Number of pages24
JournalCognitive Technologies
Volume8
DOIs
StatePublished - Dec 1 2007
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-14

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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