2006: Celebrating 75 years of AI - History and outlook: The next 25 years

Jürgen Schmidhuber

doi:10.1007/978-3-540-77296-5_4

2006: Celebrating 75 years of AI - History and outlook: The next 25 years

Jürgen Schmidhuber

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

When Kurt Gödel layed the foundations of theoretical computer science in 1931, he also introduced essential concepts of the theory of Artificial Intelligence (AI). Although much of subsequent AI research has focused on heuristics, which still play a major role in many practical AI applications, in the new millennium AI theory has finally become a full-fledged formal science, with important optimality results for embodied agents living in unknown environments, obtained through a combination of theory à la Gödel and probability theory. Here we look back at important milestones of AI history, mention essential recent results, and speculate about what we may expect from the next 25 years, emphasizing the significance of the ongoing dramatic hardware speedups, and discussing Gödel-inspired, self-referential, self-improving universal problem solvers. © Springer-Verlag Berlin Heidelberg 2007.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	29-41
Number of pages	13
ISBN (Print)	9783540772958
DOIs	https://doi.org/10.1007/978-3-540-77296-5_4
State	Published - Jan 1 2007
Externally published	Yes

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

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10.1007/978-3-540-77296-5_4

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title = "2006: Celebrating 75 years of AI - History and outlook: The next 25 years",

abstract = "When Kurt G{\"o}del layed the foundations of theoretical computer science in 1931, he also introduced essential concepts of the theory of Artificial Intelligence (AI). Although much of subsequent AI research has focused on heuristics, which still play a major role in many practical AI applications, in the new millennium AI theory has finally become a full-fledged formal science, with important optimality results for embodied agents living in unknown environments, obtained through a combination of theory {\`a} la G{\"o}del and probability theory. Here we look back at important milestones of AI history, mention essential recent results, and speculate about what we may expect from the next 25 years, emphasizing the significance of the ongoing dramatic hardware speedups, and discussing G{\"o}del-inspired, self-referential, self-improving universal problem solvers. {\textcopyright} Springer-Verlag Berlin Heidelberg 2007.",

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2006: Celebrating 75 years of AI - History and outlook: The next 25 years

Abstract

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