| Posner (Ed.), Foundations of cognitive science (pp. 133-160). Cambridge, MA: MIT Press. Rumelhart, D. E., & McClelland, J. L. (1993). On learning the past tenses of English verbs. In Bloom, Paul (Ed.), Language acquisition: Core readings (pp. 423-471). |
....most recent citation in this section is from 1976, a decade before Understanding was published, it s clear that this section is simply out of date re modern theories of semantics; the reader should refer to sources such as survey articles in Foundations of Cognitive Science, edited by Michael I. Posner and published in (late) 1989. See also elsewhere in this paper re chapter 9 of Understanding. Winograd and Flores conclude this section mentioning rationalists representation hypothesis, in which it is assumed that thought is the manipulation of representation structures in the mind [p.20] While some may think so, ....
Posner \Delta Michael I. (editor): Foundations of Cognitive Science, 1989, The MIT Press, Cambridge Massachusetts.
....[13] notwithstanding the fact that small chunks of it for a narrowly defined domain can be extracted and structured into rule based, frame based, or other similar systems. Psychological experiments reveal that in human cognition various kinds of knowledge exist and they are used in di erent ways [22]. Many di erent types of inferences can be performed in commonsense reasoning, sometimes based on the same basic set of knowledge [20] Besides, most parts of knowledge are uncertain, fuzzy, or probabilistic (cf. 21] 41] and [6] In view of these problems, in order to build intelligent ....
....bu td bu td bu td bu links enabled Phase III: bottom up links enabled Phase II: intra level links enabled Phase I: top down B Figure 7: Similarity Matching Let us look into similarity cases. Given the basic desiderata for similarity, we can think of many di erent measures (cf. 38] [22], and [11] such as AB = 1(jF A FB j) 0 2(jF A 0 FB j) 0 3(jF B 0 FA j) i.e. the contrast model of Tversky [38] Or AB = 1(jF A FB j) 2(jF A 0 FB j) 3(jF B 0 FA j) i.e. the ratio model of Tversky [38] Yet others include AB = 1(jF A FB j) 2(jF A j) 3(jF B j) AB = 1(jF A FB ....
M. Posner, (ed.) Foundations of Cognitive Science, MIT Press, Cambridge, MA. 1989
....workplace affects their actions. RE draws on the cognitive and social sciences to provide both theoretical grounding and practical techniques for eliciting and modelling requirements: Cognitive psychology provides an understanding of the difficulties people may have in describing their needs [62]. For example, problem domain experts often have large amounts of tacit knowledge that is not amenable to introspection; hence their answers to questions posed by requirements analysts may not match their behaviour. Also, the requirements engineer may need to model users understanding of software ....
Posner, M. I. (Ed.). (1993). Foundations of Cognitive Science.MIT Press.
....[13] notwithstanding the fact that small chunks of it for a narrowly defined domain can be extracted and structured into rule based, frame based, or other similar systems. Psychological experiments reveal that in human cognition various kinds of knowledge exist and they are used in di erent ways [22]. Many di erent types of inferences can be performed in commonsense reasoning, sometimes based on the same basic set of knowledge [20] Besides, most parts of knowledge are uncertain, fuzzy, or probabilistic (cf. 21] 41] and [6] In view of these problems, in order to build intelligent ....
....As will be analyzed later, if B is activated, B 3 BA 3 A 16 Case two can be described as ; 0 , and, as will be shown later, if A is activated, A 3 AB 3 B Let us look into similarity cases. Given the basic desiderata for similarity, we can think of many di erent measures (cf. 38] [22], and [11] such as AB = 1(jF A FB j) 0 2(jF A 0 FB j) 0 3(jF B 0 FA j) i.e. the contrast model of Tversky [38] Or AB = 1(jF A FB j) 2(jF A 0 FB j) 3(jF B 0 FA j) i.e. the ratio model of Tversky [38] Yet others include AB = 1(jF A FB j) 2(jF A j) 3(jF B j) AB = 1(jF A FB ....
M. Posner, (ed.) Foundations of Cognitive Science, MIT Press, Cambridge, MA. 1989
....With recursive rules, either direct or indirect, the system will lose its completeness, if implemented with cyclic connections. However we are mainly interested in hierarchical FEL (as a comparison, note that human reasoning is mainly forwardchaining and does not involve circular inferences; cf. Posner 1989), so this is not a problem. Besides, there are also a number of ways we can circumvent recursions. One way is to replicate the predicate a number of times in the network, up to the maximum expected depth of the recursion, provided that we have that information a priori. Another possible way is to ....
Posner, M. (1989) (ed.) Foundations of Cognitive Science. Cambridge, MA: MIT Press.
....is often motivated by and utilizes the results of research in the area of human visual perception. An exhaustive survey of human visual perception research is beyond the scope of this paper. Some introductory and more advanced books and articles dealing with visual perception and cognition include [4, 46, 47, 48, 49, 50, 51, 52]. In this section, a brief overview of visual perception research related to shape description is presented. 2.1 Classical Theories of Visual Perception Several schools of psychology have endeavored to understand and describe the mechanisms of behavior, in general, and the specific aspect of ....
M. I. Posner, editor. Foundations of Cognitive Science. MIT Press, 1989.
....and silver by the color of the streak produced on it by rubbing it with either metal. 2. a test or criterion for the qualities of a thing. Syn. 2. standard, measure, model, pattern. Among the things that cognitive science has studied most are visual perception, language, inference, and learning [Posner, 1989]. However, these are often studied as if they were isolated from one another. Studies in visual perception rarely address the questions of how we perceive higher order spatial relations and what systems of spatial concepts there are in the languages of the world. Computer vision and natural ....
Michael I. Posner, Foundations of Cognitive Science, Bradford Books, MIT Press, Cambridge, Mass., 1989.
....consciousness is one of the defining characteristics of mental states. Thus, it is quite surprising that consciousness has, until quite recently, had very little role to play in the cognitive sciences. Three very popular multi authored overviews of cognitive science, Stillings et al. 33] Posner [26], and Osherson et al. 25] do not have a single reference to consciousness in their indexes. One reason this seems surprising is that the cognitive revolution was, in large part, a repudiation of behaviorism s proscription against appealing to inner mental events. When researchers turned to ....
Posner, M. (Editor) Foundations of cognitive science. MIT Press, Cambridge, MA, 1989.
....a thoroughly sound and trained acquaintance with the fields of his neighbors : 120] p. 9) Today, cognitive science can be defined as the interdisciplinary study of mind; It draws upon such diverse fields as Computing Science and Artificial Intelligence [15] Linguistics [80] Neuroscience [85], Philosophy [59] and Psychology [36] to name but a few. Although each discipline has its own unique interpretation Neural Computing Surveys 1, 61 101, 1998, http: www.icsi.berkeley.edu jagota NCS 63 of cognitive science, they are bound into a cohesive whole by a central tenet. This tenet ....
M. I. Posner, editor. Foundations of Cognitive Science. MIT Press, Cambridge, MA, 1989.
....verified architecture of cognition that can illuminate the full range of human intelligence, the distance yet to go is staggering. Two areas in which these distances are most notable are in the study of cultural differences in cognition and subjective mental experience and the brain. Preface to Posner, 1989) Maybe the strategy of looking where the light is brightest, rather than where the object is lost, is innate and unavoidable. However, there are some bright lights along the cultural dimension that have much to say about cognitive science. For example, Vanderburg s (1985) analysis of the growth of ....
Posner, M.I., Ed. (1989) Foundations of Cognitive Science. Cambridge, Massachusetts: MIT Press.
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Posner (Ed.), Foundations of cognitive science (pp. 133-160). Cambridge, MA: MIT Press. Rumelhart, D. E., & McClelland, J. L. (1993). On learning the past tenses of English verbs. In Bloom, Paul (Ed.), Language acquisition: Core readings (pp. 423-471).
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M.I. Posner. Foundations of Cognitive Science. MIT Press, 1989.
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In M. A. Posner ed., Foundations of Cognitive Science. Cambridge MA: MIT Press. Wason, P. C. (1966) Reasoning. In B. M. Foss ed., New Horizons in Psychology I. Harmandsworth: Penguin.
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M. Posner, (ed.) (1989). Foundations of Cognitive Science, MIT Press, Cambridge, MA.
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M. Posner, (ed.) (1989). Foundations of Cognitive Science. MIT Press, Cambridge, MA.
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Posner, (ed.) 1989. Foundations of Cognitive Science. MIT Press.
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Posner, M.I. (ed.), Foundations of Cognitive Science. MIT Press, 1989.
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Posner, M.J., (ed.) (1989). Foundations of Cognitive Science.
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Posner (ed). Foundations of Cognitive Science. Cambridge MA: MIT Press. Winston, P.H., (1974). Learning Structural Descriptions From Examples. In P.H.
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In M. I. Posner (Ed.), Foundations of cognitive science. Cambridge, MA: MIT Press. Veloso, M. M., & Carbonell, J. G. (1993). Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization. Machine Learning, 10, 249--278.
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Posner, editor, Foundations of Cognitive Science, pages 527--579, MIT Press, Cambridge, MA. VanLehn, K. (1991a). Rule Acquisition Events in the Discovery of Problem Solving Strategies. Cognitive Science, 15(1):1--47.
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