Artificial Cognitive Systems: A Primer (The MIT Press) 1st Edition
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A concise introduction to a complex field, bringing together recent work in cognitive science and cognitive robotics to offer a solid grounding on key issues.
This book offers a concise and accessible introduction to the emerging field of artificial cognitive systems. Cognition, both natural and artificial, is about anticipating the need for action and developing the capacity to predict the outcome of those actions. Drawing on artificial intelligence, developmental psychology, and cognitive neuroscience, the field of artificial cognitive systems has as its ultimate goal the creation of computer-based systems that can interact with humans and serve society in a variety of ways. This primer brings together recent work in cognitive science and cognitive robotics to offer readers a solid grounding on key issues.
The book first develops a working definition of cognitive systems―broad enough to encompass multiple views of the subject and deep enough to help in the formulation of theories and models. It surveys the cognitivist, emergent, and hybrid paradigms of cognitive science and discusses cognitive architectures derived from them. It then turns to the key issues, with chapters devoted to autonomy, embodiment, learning and development, memory and prospection, knowledge and representation, and social cognition. Ideas are introduced in an intuitive, natural order, with an emphasis on the relationships among ideas and building to an overview of the field. The main text is straightforward and succinct; sidenotes drill deeper on specific topics and provide contextual links to further reading.
Editorial Reviews
Review
Fresh and inspiring! This book flies you over some of the most exciting new frontiers of artificial cognitive systems, such as embodiment, emergence, and development. I recommend it to anybody who is interested in a casual tour of artificial cognition, which is now fundamentally different from 25 years ago!
―Juyang Weng, Professor of Computer Science, Cognition and Neuroscience, Michigan State University; author of Natural and Artificial IntelligenceAbout the Author
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Product details
- Publisher : The MIT Press; 1st edition (October 17, 2014)
- Language : English
- Hardcover : 288 pages
- ISBN-10 : 0262028387
- ISBN-13 : 978-0262028387
- Reading age : 18 years and up
- Grade level : 12 and up
- Item Weight : 1.5 pounds
- Dimensions : 9.6 x 7.8 x 0.7 inches
- Best Sellers Rank: #2,281,984 in Books (See Top 100 in Books)
- #1,045 in Artificial Intelligence (Books)
- #1,574 in Cognitive Psychology (Books)
- #2,739 in Artificial Intelligence & Semantics
- Customer Reviews:
Customer reviews
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It analyzes the split between the symbolic and subsymbolic AI camps. To be brief the symbolic-AI camp models knowledge as specific, explicitly-represented objective facts that get manipulated by formal, repeatable rules, and the subsymbolic or connectionist camp is all about building systems that adapt, in hard-to-analyze ways, to perform actions and anticipate things in a way that seems to demonstrate knowledge but where the knowledge itself can't easily be understood or extracted as a list of explicit facts or rules. The subsymbolic approach gives rise to belief that an agent must be situated in a world it can perceive and influence, and which it must influence in order to achieve its goals or survive. The symbolic group considers those things to be unnecessary. It's hard to say whether this is a split over whether these methods can achieve consciousness as much as it is a split over what consciousness is in the first place. Either way it's worth considering. Both symbolic and subsymbolic AI, if successful, would be things you can use. The distinction would be that a subsymbolic AI would most likely also be using you.
I consider one of the defining characteristics of "real" or humanlike conciousness to be subjective perceptions, desires and needs and independently wanting things and taking action to achieve them. Predictably I'm part of the subsymbolic camp.
I found the sections on self-prediction and fundamental mechanisms for empathy to work to be interesting and (hopefully) useful. There were a few ideas I hadn't considered there, such as how mimicry contributes to empathy and how comparing analysis of one's own success vs anticipation of one's own success contributes to something like self-consciousness.
What this is NOT, is a technical guide to implementation of anything. That's fine, because it doesn't pretend to be or promise to be. Mostly it's exactly what it says on the label: a review of theories about consciousness and how those theories pertain to artificial consciousness.
I thought it was a bit too brief; I'd like to see expanded consideration of most of these topics. It's an overview, not a reference.
