9 found
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  1.  50
    Darwin’s two theories, 1844 and 1859.Derek Partridge - 2018 - Journal of the History of Biology 51 (3):563-592.
    Darwin’s first two, relatively complete, explicit articulations of his theorizing on evolution were his Essay of 1844 and On the Origin of Species published in 1859. A comparative analysis concludes that they espoused radically different theories despite exhibiting a continuity of strategy, much common structure and the same key idea. Both were theories of evolution by means of natural selection. In 1844, organic adaptation was confined to occasional intervals initiated and controlled by de-stabilization events. The modified descendants rebalanced the particular (...)
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  2.  47
    The Foundations of Artificial Intelligence: A Sourcebook.Derek Partridge & Yorick Wilks (eds.) - 1990 - Cambridge University Press.
    This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.
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  3.  42
    Human Decision Making & the Symbolic Search Space Paradigm in AI.Derek Partridge - 1987 - AI and Society 1 (2):103-114.
    In this paper I shall describe the symbolic search space paradigm which is the dominant model for most of AI. Coupled with the mechanisms of logic it yields the predominant methodology underlying expert systems which are the most successful application of AI technology to date. Human decision making, more precisely, expert human decision making is the function that expert systems aspire to emulate, if not surpass.Expert systems technology has not yet proved to be a decisive success — it appears to (...)
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  4.  94
    The Specification of “Specification”.Derek Partridge & Antony Galton - 1995 - Minds and Machines 5 (2):243-255.
    The notion of specification plays a key role in the developing science of computing. It is typically considered to be the keystone in the software development process. However, there is no single, generally agreed meaning of specification that bears close scrutiny. Instead there is a variety of different, although partially interlocking and overlapping interpretations of the term.We catalogue this varietal profusion and attempt to lay bare both the sources and consequences of each major alternative. We attempt to present the full (...)
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  5.  27
    Recursion Isn’T Necessary for Human Language Processing: NEAR (Non-Iterative Explicit Alternatives Rule) Grammars Are Superior.Kenneth R. Paap & Derek Partridge - 2014 - Minds and Machines 24 (4):389-414.
    Language sciences have long maintained a close and supposedly necessary coupling between the infinite productivity of the human language faculty and recursive grammars. Because of the formal equivalence between recursion and non-recursive iteration; recursion, in the technical sense, is never a necessary component of a generative grammar. Contrary to some assertions this equivalence extends to both center-embedded relative clauses and hierarchical parse trees. Inspection of language usage suggests that recursive rule components in fact contribute very little, and likely nothing significant, (...)
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  6.  27
    Information Theory and Redundancy.Derek Partridge - 1981 - Philosophy of Science 48 (2):308-316.
    This paper argues that Information Theoretic Redundancy (ITR) is fundamentally a composite concept that has been continually misinterpreted since the very inception of Information Theory. We view ITR as compounded of true redundancy and partial redundancy. This demarcation of true redundancy illustrates a limiting case phenomenon: the underlying metric (number of alternatives) differs only by degree but the properties of this concept differ in kind from those of partial redundancy. Several other studies are instanced which also imply the composite nature (...)
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  7.  14
    Exploratory Behavior Without Novelty Drive?Arthur I. Karshmer, Derek Partridge & Victor Johnson - 1982 - Behavioral and Brain Sciences 5 (4):644-645.
  8.  6
    Data-Defined Problems and Multiversion Neural-Net Systems.Derek Partridge & William Β Yates - 1997 - Journal of Intelligent Systems 7 (1-2):19-32.
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  9.  23
    On the Difficulty of Really Considering a Radical Novelty.Derek Partridge - 1995 - Minds and Machines 5 (3):391-410.
    The fundamental assumptions in Dijkstra''s influential article on computing science teaching are challenged. Dijkstra''s paper presents the radical novelties of computing, and the consequent problems that we must tackle through a formal, logic-based approach to program derivation. Dijkstra''s main premise is that the algorithmic programming paradigm is the only one, in fact, the only possible one. It is argued that there is at least one other, the network-programming paradigm, which itself is a radical novelty with respect to the implementation of (...)
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