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The Cambridge Handbook of Artificial Intelligence / edited by Keith Frankish and William M. Ramsey.

Contributor(s): Publisher: Cambridge, UK : Cambridge University Press, 2014Description: xi, 354 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780521871426 (hardcover)
  • 9780521691918 (softcover)
Other title:
  • Handbook of artificial intelligence
Subject(s): DDC classification:
  • 006.3 FRA 23
LOC classification:
  • Q335 .C26 2014
Other classification:
  • PHI015000
Online resources:
Contents:
History, motivations, and core themes / Stan Franklin; Philosophical foundations / Konstantine Arkoudas and Selmer Bringsjord; Philosophical challenges / William S. Robinson GOFAI / Margaret A. Boden; Connectionism and neural networks / Ron Sun; Dynamical systems and embedded cognition / Randall D. Beer; Learning / David Danks; Perception and computer vision / Markus Vincze, Sven Wachsmuth and Gerhard Sagerer; Reasoning and decision making / Eyal Amir; Language and communication / Yorick Wilks; Actions and agents / Eduardo Alonso; Artificial emotions and machine consciousness / Matthias Scheutz; Robotics / Phil Husbands; Artificial life / Mark A. Bedau; The ethics of artificial intelligence / Nick Bostrom and Eliezer Yudkowsky.
Summary: "Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field"-- Provided by publisher.
List(s) this item appears in: NAAC 2022-23
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Holdings
Item type Current library Shelving location Call number Materials specified Status Barcode
BOOKs National Law School General Stacks 006.3 FRA (Browse shelf(Opens below)) PB Available 38904

Includes bibliographical references and index.

History, motivations, and core themes / Stan Franklin;
Philosophical foundations / Konstantine Arkoudas and Selmer Bringsjord;
Philosophical challenges / William S. Robinson
GOFAI / Margaret A. Boden;
Connectionism and neural networks / Ron Sun;
Dynamical systems and embedded cognition / Randall D. Beer;
Learning / David Danks;
Perception and computer vision / Markus Vincze, Sven Wachsmuth and Gerhard Sagerer;
Reasoning and decision making / Eyal Amir;
Language and communication / Yorick Wilks;
Actions and agents / Eduardo Alonso;
Artificial emotions and machine consciousness / Matthias Scheutz;
Robotics / Phil Husbands;
Artificial life / Mark A. Bedau;
The ethics of artificial intelligence / Nick Bostrom and Eliezer Yudkowsky.

"Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field"-- Provided by publisher.

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