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  <id>87009</id>
  <name><![CDATA[John Haugeland]]></name>
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  <id type="integer">150696</id>
  <isbn>0262581531</isbn>
  <isbn13>9780262581530</isbn13>
  <text_reviews_count type="integer">2</text_reviews_count>
  <title>
    <![CDATA[Mind Design II: Philosophy, Psychology, and Artificial Intelligence]]>
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    <![CDATA[Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the &quot;how&quot; than the &quot;what.&quot; An experiment in mind design is more likely to be an attempt to build something and make it work--as in artificial intelligence--than to observe or analyze what already exists. Mind design is psychology by reverse engineering.<br/> <br/> When <em>Mind Design</em> was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's &quot;Computing Machinery and Intelligence&quot;) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are &quot;philosophical&quot; in that they address fundamental issues and concepts; and all are &quot;scientific&quot; in that they are technically sophisticated and concerned with concrete empirical research.<br/> <br/> <strong>Contributors</strong>: Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A. M. Turing, Timothy van Gelder]]>
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    <author>
    <id>87009</id>
        <name><![CDATA[John Haugeland]]></name>
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    <average_rating>4.15</average_rating>
    <ratings_count>55</ratings_count>
    <text_reviews_count>7</text_reviews_count>
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  </authors>  <published>1997</published>
</book>

        <book>
  <id type="integer">291266</id>
  <isbn>0674004159</isbn>
  <isbn13>9780674004153</isbn13>
  <text_reviews_count type="integer">4</text_reviews_count>
  <title>
    <![CDATA[Having Thought: Essays in the Metaphysics of Mind]]>
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  <average_rating>4.64</average_rating>
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    <![CDATA[The unifying theme of these thirteen essays is understanding. What is it? What does it take to have it? What does it presuppose in what can be understood? In the first group of essays John Haugeland addresses mind and intelligence. Intelligibility comes to the fore in a set of &quot;metaphysical&quot; pieces on analog and digital systems and supervenience. In the third set of papers Haugeland elaborates and then undermines a battery of common presuppositions about the foundational notions of intentionality and representation. Finally, the fourth and most recent group of essays confronts the essential character of understanding in relation to what is understood. The necessary interdependence between personality and intelligence is developed and explained, specifically in the conditions of the possibility of objective scientific knowledge.]]>
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    <average_rating>4.15</average_rating>
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  </author>
  </authors>  <published>2000</published>
</book>

        <book>
  <id type="integer">189514</id>
  <isbn>0226457982</isbn>
  <isbn13>9780226457987</isbn13>
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  <title>
    <![CDATA[The Road since Structure: Philosophical Essays, 1970-1993, with an Autobiographical Interview]]>
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  <link>http://www.goodreads.com/book/show/189514.The_Road_since_Structure_Philosophical_Essays_1970_1993_with_an_Autobiographical_Interview</link>
  <average_rating>3.89</average_rating>
  <ratings_count>9</ratings_count>
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    <![CDATA[It is possible that no book written in the last 50 years has had an influence as profound and far-reaching as Thomas Kuhn's <em>The Structure of Scientific Revolutions</em>. Kuhn's argument that scientific knowledge does not develop cumulatively, but rather proceeds by a series of &quot;paradigm shifts,&quot; captivated not only philosophers of science, but scholars in a wide range of academic disciplines. <em>The Road Since Structure</em> is a follow-up to his landmark work and a look at Kuhn's theory since the book's original publication in 1962. <p>  In keeping with Kuhn's wishes (he died in 1996), editors James Conant and John Haugeland organized <em>The Road Since Structure</em> to include 11 philosophical essays written since 1970. In the first part of the book, Kuhn spells out his theory as it developed in the 1980s and 1990s; in the second part, he replies to a number of criticisms and misreadings. The third section is a fascinating interview with Kuhn conducted less than a year before he died. For general interest readers, the lengthy interview--in which Kuhn candidly and engagingly discusses the trials and tribulations of his life and philosophical career--will probably be the most interesting part of the book. For those attuned to Kuhn's controversial work, <em>The Road Since Structure</em> is an indispensable aid for understanding his theory as it developed and for appreciating the full force of his replies to a host of critical objections. As always, Kuhn's clarity and fluid prose render accessible a field fraught with opaque writing. <em>--Eric de Place</em> </p>]]>
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    <id>34647</id>
        <name><![CDATA[Thomas S. Kuhn]]></name>
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    <average_rating>3.92</average_rating>
    <ratings_count>1418</ratings_count>
    <text_reviews_count>168</text_reviews_count>
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    <id>20751</id>
        <name><![CDATA[James Conant]]></name>
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    <average_rating>3.77</average_rating>
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    <author>
    <id>87009</id>
        <name><![CDATA[John Haugeland]]></name>
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    <average_rating>4.15</average_rating>
    <ratings_count>55</ratings_count>
    <text_reviews_count>7</text_reviews_count>
  </author>
  </authors>  <published>1997</published>
</book>

        <book>
  <id type="integer">346058</id>
  <isbn>0262580950</isbn>
  <isbn13>9780262580953</isbn13>
  <text_reviews_count type="integer">1</text_reviews_count>
  <title>
    <![CDATA[Artificial Intelligence: The Very Idea]]>
  </title>
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  <small_image_url>http://photo.goodreads.com/books/1173926052s/346058.jpg</small_image_url>
  <link>http://www.goodreads.com/book/show/346058.Artificial_Intelligence_The_Very_Idea</link>
  <average_rating>4.09</average_rating>
  <ratings_count>11</ratings_count>
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    <![CDATA[The idea that human thinking and machine computing are &quot;radically the same&quot; provides the central theme for this marvelously lucid and witty book on what artificial intelligence is all about. Although presented entirely in nontechnical terms, it neither oversimplifies the science nor evades the central philosophical issues.<br/> <br/> John Haugeland is Associate Professor of Philosophy at the University of Pittsburgh and the editor of <em>Mind Design: Essays in Philosophy, Psychology, and Artificial Intelligence. </em>A Bradford Book]]>
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    <id>87009</id>
        <name><![CDATA[John Haugeland]]></name>
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    <average_rating>4.15</average_rating>
    <ratings_count>55</ratings_count>
    <text_reviews_count>7</text_reviews_count>
  </author>
  </authors>  <published>1985</published>
</book>

        <book>
  <id type="integer">533121</id>
  <isbn>0262580527</isbn>
  <isbn13>9780262580526</isbn13>
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  <title>
    <![CDATA[Mind Design: Philosophy, Psychology, and Artificial Intelligence]]>
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  <average_rating>3.50</average_rating>
  <ratings_count>4</ratings_count>
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    <![CDATA[Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the &quot;how&quot; than the &quot;what.&quot; An experiment in mind design is more likely to be an attempt to build something and make it work--as in artificial intelligence--than to observe or analyze what already exists. Mind design is psychology by reverse engineering.<br/> <br/> When <em>Mind Design</em> was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's &quot;Computing Machinery and Intelligence&quot;) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are &quot;philosophical&quot; in that they address fundamental issues and concepts; and all are &quot;scientific&quot; in that they are technically sophisticated and concerned with concrete empirical research.<br/> <br/> <strong>Contributors</strong>: Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A. M. Turing, Timothy van Gelder]]>
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    <id>87009</id>
        <name><![CDATA[John Haugeland]]></name>
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    <average_rating>4.15</average_rating>
    <ratings_count>55</ratings_count>
    <text_reviews_count>7</text_reviews_count>
  </author>
  </authors>  <published>1981</published>
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        <book>
  <id type="integer">3686221</id>
  <isbn>0262081105</isbn>
  <isbn13>9780262081108</isbn13>
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  <title>
    <![CDATA[Mind Design]]>
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  <average_rating>0.0</average_rating>
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    <![CDATA[Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the &quot;how&quot; than the &quot;what.&quot; An experiment in mind design is more likely to be an attempt to build something and make it work--as in artificial intelligence--than to observe or analyze what already exists. Mind design is psychology by reverse engineering.<br/>  <br/>  When <em>Mind Design</em> was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's &quot;Computing Machinery and Intelligence&quot;) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are &quot;philosophical&quot; in that they address fundamental issues and concepts; and all are &quot;scientific&quot; in that they are technically sophisticated and concerned with concrete empirical research.<br/>  <br/>  <strong>Contributors</strong>: Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A. M. Turing, Timothy van Gelder]]>
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    <id>87009</id>
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    <average_rating>4.15</average_rating>
    <ratings_count>55</ratings_count>
    <text_reviews_count>7</text_reviews_count>
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  </authors>  <published>1981</published>
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        <book>
  <id type="integer">533122</id>
  <isbn>0897060059</isbn>
  <isbn13>9780897060059</isbn13>
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  <title>
    <![CDATA[Mind Design Philosophy Psychology Artifi]]>
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