Fifty years of AI: from symbols to embodiment - and back
There are many stories to tell about the first fifty years of AI. One story is about AI as one of the big forces of innovation in information technology. It is now forgotten that initially computers were just viewed as calculating machines. AI has moved that boundary, by projecting visions on what might be possible, and by building technologies to realise them. Another story is about the applications of AI. Knowledge systems were still a rarity in the late seventies but are now everywhere, delivered through the web. Knowledge systems routinely deal with financial and legal problem solving, diagnosis and maintenance of power plants and transportation networks, symbolic mathematics, scheduling, etc. The innovative aspects of search engines like Google are almost entirely based on the information extraction, data mining, semantic networks and machine learning techniques pioneered in AI. Popular games like SimCity are straightforward applications of multi-agent systems. Sophisticated language processing capacities are now routinely embedded in text processing systems like Microsoft’s Word. Tens of millions of people use AI technology every day, often without knowing it or without wondering how these information systems can do all these things. In this essay I will focus however on another story: AI as a contributor to the scientific study of mind.
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Format: | capítulo de libro biblioteca |
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2007
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Subjects: | History of AI, Heuristic search, Knowledge systems, Behavior-based robotics, Semiotic dynamics, |
Online Access: | http://hdl.handle.net/10261/128268 |
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dig-ibe-es-10261-1282682018-10-03T09:58:42Z Fifty years of AI: from symbols to embodiment - and back Steels, Luc History of AI Heuristic search Knowledge systems Behavior-based robotics Semiotic dynamics There are many stories to tell about the first fifty years of AI. One story is about AI as one of the big forces of innovation in information technology. It is now forgotten that initially computers were just viewed as calculating machines. AI has moved that boundary, by projecting visions on what might be possible, and by building technologies to realise them. Another story is about the applications of AI. Knowledge systems were still a rarity in the late seventies but are now everywhere, delivered through the web. Knowledge systems routinely deal with financial and legal problem solving, diagnosis and maintenance of power plants and transportation networks, symbolic mathematics, scheduling, etc. The innovative aspects of search engines like Google are almost entirely based on the information extraction, data mining, semantic networks and machine learning techniques pioneered in AI. Popular games like SimCity are straightforward applications of multi-agent systems. Sophisticated language processing capacities are now routinely embedded in text processing systems like Microsoft’s Word. Tens of millions of people use AI technology every day, often without knowing it or without wondering how these information systems can do all these things. In this essay I will focus however on another story: AI as a contributor to the scientific study of mind. Peer reviewed 2016-01-28T11:05:57Z 2016-01-28T11:05:57Z 2007 capítulo de libro http://purl.org/coar/resource_type/c_3248 50 Years of Artificial Intelligence: 18-28 (2007) 978-3-540-77295-8 http://hdl.handle.net/10261/128268 10.1007/978-3-540-77296-5_3 en Lecture Notes in Computer Science 4850 http://dx.doi.org/10.1007/978-3-540-77296-5_3 No none Springer |
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History of AI Heuristic search Knowledge systems Behavior-based robotics Semiotic dynamics History of AI Heuristic search Knowledge systems Behavior-based robotics Semiotic dynamics Steels, Luc Fifty years of AI: from symbols to embodiment - and back |
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There are many stories to tell about the first fifty years of AI. One story is about AI as one of the big forces of innovation in information technology. It is now forgotten that initially computers were just viewed as calculating machines. AI has moved that boundary, by projecting visions on what might be possible, and by building technologies to realise them. Another story is about the applications of AI. Knowledge systems were still a rarity in the late seventies but are now everywhere, delivered through the web. Knowledge systems routinely deal with financial and legal problem solving, diagnosis and maintenance of power plants and transportation networks, symbolic mathematics, scheduling, etc. The innovative aspects of search engines like Google are almost entirely based on the information extraction, data mining, semantic networks and machine learning techniques pioneered in AI. Popular games like SimCity are straightforward applications of multi-agent systems. Sophisticated language processing capacities are now routinely embedded in text processing systems like Microsoft’s Word. Tens of millions of people use AI technology every day, often without knowing it or without wondering how these information systems can do all these things. In this essay I will focus however on another story: AI as a contributor to the scientific study of mind. |
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capítulo de libro |
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History of AI Heuristic search Knowledge systems Behavior-based robotics Semiotic dynamics |
author |
Steels, Luc |
author_facet |
Steels, Luc |
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Steels, Luc |
title |
Fifty years of AI: from symbols to embodiment - and back |
title_short |
Fifty years of AI: from symbols to embodiment - and back |
title_full |
Fifty years of AI: from symbols to embodiment - and back |
title_fullStr |
Fifty years of AI: from symbols to embodiment - and back |
title_full_unstemmed |
Fifty years of AI: from symbols to embodiment - and back |
title_sort |
fifty years of ai: from symbols to embodiment - and back |
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Springer |
publishDate |
2007 |
url |
http://hdl.handle.net/10261/128268 |
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AT steelsluc fiftyyearsofaifromsymbolstoembodimentandback |
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