Artificial Dreams: The Quest for Non-Biological Intelligence - download pdf or read online

By H. R. Ekbia

This ebook is a critique of man-made Intelligence (AI) from the viewpoint of cognitive technology - it seeks to envision what we have now discovered approximately human cognition from AI successes and screw ups. The book's aim is to split these "AI dreams" that both were or will be learned from those who are built via discourse and are unrealizable. AI learn has complex many parts which are intellectually compelling and holds nice promise for advances in technology, engineering, and useful structures. After the Nineteen Eighties, besides the fact that, the sphere has frequently struggled to convey generally on those delivers. This ebook breaks new flooring via studying how a few of the using desires of individuals practising AI examine develop into valued contributions, whereas others devolve into unrealized and unrealizable initiatives.

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Here I will introduce two key ideas from the logicist tradition that, I believe, have had a lasting impact on AI: the focus on representations and the separation of meaning and form. 19:15 P1: KNP 9780521878678c01 24 CUFX253/Ekbia 978 0 521 87867 8 April 3, 2008 Artificial Dreams Representations at the Center of Thinking At the crux of early AI was the idea that intelligent beings interact with the world through the mediation of (mental) representations. Although there is intense disagreement on the nature of representations (see, for instance, Clapin 2002 for a recent debate within cognitive science), the core intuition among most AI researchers (and philosophers) is that they are “about” other things.

Although this principled way of studying human thought offered certain advances with respect to previous methods of doing psychology, its theworld-in-the-mind character is evident on different dimensions: from the characterization of problems in an abstract mental space to the search for solutions in the same space (Agre 1997a: 54–56). This particular view of mind dominated AI for more than three decades and, as I will show in the following chapters, provides the backdrop against which much of later development in the field can be understood.

Cog Copycat/Aaron/Emmy mainly symbolic, connectionist, and situated (inter-actionist). I have devised a more fine-grained classification that respects this division, but that is more useful for my purposes. Within each of the approaches that I have singled out, then, I have selected one (or a few) major system(s) that, I believe, represent the particular approach and its main tenets. 2 lists the approaches, together with their representative system(s). Chapter 1 takes a historical look at AI, tracing its origins back to modern philosophers such as Descartes, logicians such as Boole, and more recently to the ideas of Alan Turing.

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Artificial Dreams: The Quest for Non-Biological Intelligence by H. R. Ekbia


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