The Resource Common sense, the Turing test, and the quest for real AI, Hector J. Levesque
Common sense, the Turing test, and the quest for real AI, Hector J. Levesque
Resource Information
The item Common sense, the Turing test, and the quest for real AI, Hector J. Levesque represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Common sense, the Turing test, and the quest for real AI, Hector J. Levesque represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
- Summary
- What can artificial intelligence teach us about the mind? If AI’s underlying concept is that thinking is a computational process, then how can computation illuminate thinking? It’s a timely question. AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning: computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to “good old fashioned artificial intelligence,” which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns-as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there’s no more soy milk. Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence-the Winograd Schema Test, developed by Levesque and his colleagues. “If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it,” he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed. --
- Language
- eng
- Extent
- xv, 172 pages
- Contents
-
- What kind of AI?
- The big puzzle
- Knowledge and behavior
- Making it and faking it
- Learning with and without experience
- Book smarts and street smarts
- The long tail and the limits to training
- Symbols and symbol processing
- Knowledge-based systems
- AI technology
- Isbn
- 9780262036047
- Label
- Common sense, the Turing test, and the quest for real AI
- Title
- Common sense, the Turing test, and the quest for real AI
- Statement of responsibility
- Hector J. Levesque
- Language
- eng
- Summary
- What can artificial intelligence teach us about the mind? If AI’s underlying concept is that thinking is a computational process, then how can computation illuminate thinking? It’s a timely question. AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning: computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to “good old fashioned artificial intelligence,” which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns-as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there’s no more soy milk. Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence-the Winograd Schema Test, developed by Levesque and his colleagues. “If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it,” he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed. --
- Assigning source
- Provided by publisher
- Cataloging source
- DLC
- http://library.link/vocab/creatorDate
- 1951-
- http://library.link/vocab/creatorName
- Levesque, Hector J.
- Index
- index present
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/subjectName
-
- Artificial intelligence
- Thought and thinking
- Intellect
- Computational intelligence
- Artificial intelligence
- Turing test
- Label
- Common sense, the Turing test, and the quest for real AI, Hector J. Levesque
- Bibliography note
- Includes bibliographical references (pages 157-167) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- What kind of AI? -- The big puzzle -- Knowledge and behavior -- Making it and faking it -- Learning with and without experience -- Book smarts and street smarts -- The long tail and the limits to training -- Symbols and symbol processing -- Knowledge-based systems -- AI technology
- Control code
- ocn960940230
- Dimensions
- 21 cm
- Extent
- xv, 172 pages
- Isbn
- 9780262036047
- Lccn
- 2016033671
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- System control number
- (OCoLC)960940230
- Label
- Common sense, the Turing test, and the quest for real AI, Hector J. Levesque
- Bibliography note
- Includes bibliographical references (pages 157-167) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- What kind of AI? -- The big puzzle -- Knowledge and behavior -- Making it and faking it -- Learning with and without experience -- Book smarts and street smarts -- The long tail and the limits to training -- Symbols and symbol processing -- Knowledge-based systems -- AI technology
- Control code
- ocn960940230
- Dimensions
- 21 cm
- Extent
- xv, 172 pages
- Isbn
- 9780262036047
- Lccn
- 2016033671
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- System control number
- (OCoLC)960940230
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Common-sense-the-Turing-test-and-the-quest-for/qhj1TeWEtP8/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Common-sense-the-Turing-test-and-the-quest-for/qhj1TeWEtP8/">Common sense, the Turing test, and the quest for real AI, Hector J. Levesque</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
