Results for 'Schank, R'

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  1. Natural language understanding: Models of Roger Schank and his students.R. Schank & D. Leake - 2002 - In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan. pp. 189--195.
     
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  2. Machine Intelligence 7.B. Meltzer, D. Michie, R. C. Schank & K. M. Colby - 1975 - British Journal for the Philosophy of Science 26 (3):269-273.
  3.  33
    Rat pups and random robots generate similar self-organized and intentional behavior.Christopher J. May, Jeffrey C. Schank, Sanjay Joshi, Jonathan Tran, R. J. Taylor & I.-Esha Scott - 2006 - Complexity 12 (1):53-66.
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    Bill Wimsatt on Multiple Ways of Getting at the Complexity of Nature.William Bechtel, Werner Callebaut, James R. Griesemer & Jeffrey C. Schank - 2006 - Biological Theory 1 (2):213-219.
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    Review of B. MELTZER and D. MICHIE: Machine Intelligence 7_; R. C. SCHANK and K. M. COLBY: _Computer Models of Thought and Language[REVIEW]Margaret A. Boden - 1975 - British Journal for the Philosophy of Science 26 (3):269-273.
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    Make school meaningful-and fun!Roger C. Schank - 2015 - Bloomington, IN: Solution Tree Press.
    In this book, Roger C. Schank sets the stage for sparking conversations and innovative changes in schools to help make school experiences relevant to students and prepare them for the future. By implementing new literacies, globally connected technology, and career-based curricula, teachers can provide students with the tools they need to succeed during and after high school.
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  7.  30
    Transcending inductive category formation in learning.Roger C. Schank, Gregg C. Collins & Lawrence E. Hunter - 1986 - Behavioral and Brain Sciences 9 (4):639-651.
    The inductive category formation framework, an influential set of theories of learning in psychology and artificial intelligence, is deeply flawed. In this framework a set of necessary and sufficient features is taken to define a category. Such definitions are not functionally justified, are not used by people, and are not inducible by a learning system. Inductive theories depend on having access to all and only relevant features, which is not only impossible but begs a key question in learning. The crucial (...)
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  8.  71
    Women do not synchronize their menstrual cycles.Zhengwei Yang & Jeffrey C. Schank - 2006 - Human Nature 17 (4):433-447.
    It is widely believed that women who live together or who are close friends synchronize their menstrual cycles. We reexamined this phenomenon in two ways. First, we collected data on menstrual cycles from 186 Chinese women living in dorms for over a year. We found that women living in groups did not synchronize their cycles. Second, we reviewed the first study reporting menstrual synchrony. We found that group synchrony in that study was at the level of chance. We then show (...)
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  9.  18
    What's the Point?Roger C. Schank, Gregg C. Collins, Ernest Davis, Peter N. Johnson, Steve Lytinen & Brian J. Reiser - 1982 - Cognitive Science 6 (3):255-275.
    We present a theory of conversation comprehension in which a line of the conversation is “understood” by relating it to one of seven possible “points”. We define these points, and present examples where it seems plausible that the failure to “get the point” would indeed constitute a failure to understand the conversation. We argue that the recognition of such points must proceed in both a top down and bottom up fashion, and thus is likely to be quite complicated. Finally, we (...)
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  10. Generative Entrenchment and Evolution.Jeffrey C. Schank & William C. Wimsatt - 1986 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:33 - 60.
    The generative entrenchment of an entity is a measure of how much of the generated structure or activity of a complex system depends upon the presence or activity of that entity. It is argued that entities with higher degrees of generative entrenchment are more conservative in evolutionary changes of such systems. A variety of models of complex structures incorporating the effects of generative entrenchment are presented and we demonstrate their relevance in analyzing and explaining a variety of developmental and evolutionary (...)
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  11.  49
    Rules and Topics in Conversation.Roger C. Schank - 1977 - Cognitive Science 1 (4):421-441.
    Rules of conversation are given that specify what can follow what. A system for deciding what makes a reasonable subject for a conversation is shown. Topics are discussed and rules for topic shift are presented.
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  12.  21
    Response to Dresher and Hornstein.Roger C. Schank & Robert Wilensky - 1977 - Cognition 5 (2):133-145.
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    Language and Memory.Roger C. Schank - 1980 - Cognitive Science 4 (3):243-284.
    This paper outlines some of the issues and basic philosophy that have guided my work and that of my students in the last ten years. It describes the progression of conceptual representational theories developed during that time, as well as some of the research models built to implement those theories. The paper concludes with a discussion of my most recent work in the area of modelling memory. It presents a theory of MOPs (Memory Organization Packets), which serve as both processors (...)
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  14.  5
    Interestingness: Controlling inferences.Roger C. Schank - 1979 - Artificial Intelligence 12 (3):273-297.
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    Tell Me a Story: A New Look at Real and Artificial Memory.David Herman & Roger C. Schank - 1996 - Substance 25 (1):140.
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  16.  14
    Confessions.R. S. Augustine & Pine-Coffin - 2019 - Hackett Publishing Company.
    "Williams's masterful translation satisfies (at last!) a long-standing need. There are lots of good translations of Augustine's great work, but until now we have been forced to choose between those that strive to replicate in English something of the majesty and beauty of Augustine's Latin style and those that opt instead to convey the careful precision of his philosophical terminology and argumentation. Finally, Williams has succeeded in capturing both sides of Augustine's mind in a richly evocative, impeccably reliable, elegantly readable (...)
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  17.  5
    Inference and the computer understanding of natural language.Roger C. Schank & Charles J. Rieger - 1974 - Artificial Intelligence 5 (4):373-412.
  18.  1
    "Rasse" und "Züchtung" bei Nietzsche.Gerd Schank - 2000 - New York: Walter de Gruyter.
    Friedrich Nietzsche has emerged as one of the most important and influential modern philosophers. For several decades, the book series Monographien und Texte zur Nietzsche-Forschung (MTNF) has set the agenda in a rapidly growing and changing field of Nietzsche scholarship. The scope of the series is interdisciplinary and international in orientation reflects the entire spectrum of research on Nietzsche, from philosophy to literary studies and political theory. The series publishes monographs and edited volumes that undergo a strict peer-review process. The (...)
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  19.  16
    Beyond reductionism: Refocusing on the individual with individual‐based modeling.Jeffrey C. Schank - 2001 - Complexity 6 (3):33-40.
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  20.  5
    Creativity and learning in a case-based explainer.Roger C. Schank & David B. Leake - 1989 - Artificial Intelligence 40 (1-3):353-385.
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    The Moral Nexus.R. Jay Wallace - 2019 - Princeton: Princeton University Press.
    The Moral Nexus develops and defends a new interpretation of morality—namely, as a set of requirements that connect agents normatively to other persons in a nexus of moral relations. According to this relational interpretation, moral demands are directed to other individuals, who have claims that the agent comply with these demands. Interpersonal morality, so conceived, is the domain of what we owe to each other, insofar as we are each persons with equal moral standing. The book offers an interpretative argument (...)
  22.  27
    Making minds less well educated than our own.Roger C. Schank - 2004 - Mahwah, N.J.: Lawrence Erlbaum.
    In the author's words: "This book is an honest attempt to understand what it means to be educated in today's world." His argument is this: No matter how important science and technology seem to industry or government or indeed to the daily life of people, as a society we believe that those educated in literature, history, and other humanities are in some way better informed, more knowing, and somehow more worthy of the descriptor "well educated." This 19th-century conception of the (...)
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  23.  27
    Where are all the genes?Jeffrey C. Schank - 2002 - Behavioral and Brain Sciences 25 (4):527-528.
    Andrews et al. argue for adaptationism in cognitive research. However, the problem of evolvability brings into question the number of genes required for the evolution of cognitive mechanisms. Are there enough? Also, greater consideration should be given to alternative vicarious selection processes, which may produce cognitive mechanisms. Finally, identifying constraints with optimality arguments is more difficult than the authors think.
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  24.  57
    Understanding Searle.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (3):446-447.
  25.  42
    An artificial intelligence perspective on Chomsky's view of language.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (1):35-37.
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    An early work in cognitive science.Roger C. Schank - unknown
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  27.  35
    Al, imagery, and theories.Roger C. Schank - 1979 - Behavioral and Brain Sciences 2 (4):566-566.
  28.  20
    Al vs. CS: a methodological distinction.Roger C. Schank - 1978 - Behavioral and Brain Sciences 1 (1):114-114.
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    Computer, elementare Aktionen und linguistische Theorien.Roger C. Schank - 1977 - In Peter Eisenberg (ed.), Semantik Und Künstliche Intelligenz: Beiträge Zur Automatischen Sprachbearbeitung Ii. De Gruyter. pp. 113-141.
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  30. Dionysus and ariadne in conversation-dissolution of the subject and multi-voiced texture in Nietzsche philosophy.G. Schank - 1991 - Tijdschrift Voor Filosofie 53 (3):489-519.
     
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  31.  24
    Do human menstrual-cycle pheromones exist?Jeffrey C. Schank - 2006 - Human Nature 17 (4):448-470.
    Research over the past 15 years indicates, contrary to earlier results, that women do not synchronize their menstrual cycles. If women do not synchronize their cycles, this implies there is no mechanism for synchronizing cycles. Since a pheromone mechanism of synchronization is the only plausible mechanism that has been proposed, it follows that that there are no pheromones that modulate the length of menstrual cycles. To test this hypothesis, eight studies were reviewed that reported pheromone effects on menstrual cycles, other (...)
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  32. Depths of knowledge.Roger C. Schank - 1982 - In B. De Gelder (ed.), Knowledge and Representation. Routledge & Kegan Paul. pp. 170--193.
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  33.  22
    Dimensions of modelling: Generality and integrativeness.Jeffrey C. Schank - 2001 - Behavioral and Brain Sciences 24 (6):1075-1076.
    Webb has articulated a clear, multi-dimensional framework for discussing simulation models and modelling strategies. This framework will likely co-evolve with modelling. As such, it will be important to continue to clarify these dimensions and perhaps add to them. I discuss the dimension of generality and suggest that a dimension of integrativeness may also be needed.
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  34.  38
    Discovering scientific questions.Roger C. Schank & Lucian P. Hughes - 1992 - International Studies in the Philosophy of Science 6 (1):57 – 59.
  35.  57
    Encapsulation and expectation.Roger Schank & Larry Hunter - 1985 - Behavioral and Brain Sciences 8 (1):29-30.
  36. Intelligent Neural Networks.J. Schank - 1982 - In Werner Leinfellner (ed.), Language and Ontology. Hölder-Pichler-Tempsky / Reidel. pp. 381--6.
     
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  37. Once upon a time in AI.Roger Schank - 2006 - Artificial Intelligence 170 (18):1254-1255.
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  38.  27
    Process models and language.Roger C. Schank - 1979 - Behavioral and Brain Sciences 2 (3):474-475.
  39.  16
    Strong group-level traits and selection-transmission thickets.Jeffrey C. Schank - 2014 - Behavioral and Brain Sciences 37 (3):272-273.
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  40.  13
    Toward a Theory of the Evolution of Fair Play.Jeffrey C. Schank, Gordon M. Burghardt & Sergio M. Pellis - 2018 - Frontiers in Psychology 9.
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  41.  25
    The learning of function and the function of learning.Roger C. Schank, Gregg C. Collins & Lawrence E. Hunter - 1986 - Behavioral and Brain Sciences 9 (4):672-686.
  42.  27
    The pragmatics of learning by doing.Roger C. Schank - 2010 - Pragmatics and Society 1 (1):157-171.
    Based on his experience as an educator, the author criticizes current methods and philosophies of learning and teaching. Learning should be geared towards practice ; teaching should be about exciting students and helping them perform meaningful tasks, rather than having them passively absorb knowledge that they cannot see the use of. Feedback from former students allows the author to posit a few simple rules for teaching and learning, and identify some of the major misconceptions about the role of the teacher (...)
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  43. Understanding and representation of text.Roger Schank & Wendy Lehnert - 1983 - In Alex Orenstein & Rafael Stern (eds.), Developments in Semantics. Haven. pp. 2--271.
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  44. Nietzsche Wörterbuch.Paul van Tongeren, Gerd Schank & Herman Siemens - 2006 - de Uil Van Minerva 21:135-137.
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    The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.Ulrich Leicht-Deobald, Thorsten Busch, Christoph Schank, Antoinette Weibel, Simon Schafheitle, Isabelle Wildhaber & Gabriel Kasper - 2019 - Journal of Business Ethics 160 (2):377-392.
    Organizations increasingly rely on algorithm-based HR decision-making to monitor their employees. This trend is reinforced by the technology industry claiming that its decision-making tools are efficient and objective, downplaying their potential biases. In our manuscript, we identify an important challenge arising from the efficiency-driven logic of algorithm-based HR decision-making, namely that it may shift the delicate balance between employees’ personal integrity and compliance more in the direction of compliance. We suggest that critical data literacy, ethical awareness, the use of participatory (...)
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  46.  15
    HORS D'OEUVRE: Nietzsche's Language and Use of Language.Paul van Tongeren & Gerd Schank - 2001 - Journal of Nietzsche Studies 22:5-16.
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  47.  34
    Human mate choice is a complex system.Paul E. Smaldino & Jeffrey C. Schank - 2012 - Complexity 17 (5):11-22.
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  48. Is the Notion of Human Rights a Western Concept?R. Panikkar - 1982 - Diogenes 30 (120):75-102.
    We should approach this topic with great fear and respect. It is not a merely “academic” issue. Human rights are trampled upon in the East as in the West, in the North as in the South of our planet. Granting the part of human greed and sheer evil in this universal transgression, could it not also be that Human Rights are not observed because in their present form they do not represent a universal symbol powerful enough to elicit understanding and (...)
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  49. Representation in Chemistry.R. Hoffmann & P. Laszlo - 1989 - Diogenes 37 (147):23-51.
    Chemical structures are among the trademarks of our profession, as surely chemical as flasks, beakers and distillation columns. When someone sees one of us busily scribbling formulas or structures, he or she has no trouble identifying a chemist. Yet these familiar objects, which accompany our work from start to end, from the initial doodlings (Fig. I) to the final polished artwork in a publication (Fig. II), are deceptively simple. They raise interesting and difficult questions about representation. It is the intent (...)
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  50.  36
    Invariants of human emotion.Paul E. Smaldino & Jeffrey C. Schank - 2012 - Behavioral and Brain Sciences 35 (3):164-164.
    Because of the complexity of human emotional responses, invariants must be sought not in the responses themselves, but in their generating mechanisms. Lindquist et al. show that functional locationism is a theoretical dead end; their proposed mechanistic framework is a first step toward better models of emotional behavior. We caution, however, that emotions may still be quasi-natural perceptual types.
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