The Cambridge handbook of artificial intelligence / edited by Keith Frankish and William M. Ramsey.
Material type:
- text
- unmediated
- volume
- 9780521871426 (hardcover)
- 9780521691918 (softcover)
- Handbook of artificial intelligence
- 006.3 23
- Q335 .C26 2014
- PHI015000
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
![]() |
Symbiosis School for Liberal Arts | Reference | 006.3/FRA (Browse shelf(Opens below)) | REFERENCE | SSLA-B-8162 |
Browsing Symbiosis School for Liberal Arts shelves, Collection: Reference Close shelf browser (Hides shelf browser)
![]() |
![]() |
![]() |
![]() |
No cover image available |
![]() |
No cover image available | ||
005/CAD the data science handbook | 005/COL Using SPSS syntax : | 005.13/3 Java concepts / | 006.3/FRA The Cambridge handbook of artificial intelligence / | 011/SIN PUBLIC ADMINISTRATION DICTIONARY | 011/woo The Ethics of Online Research | 019/HOO Concise Companion to English Literature |
Includes bibliographical references and index.
"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.
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.
There are no comments on this title.