Results for 'Hector J. Levesque'

961 found
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  1.  59
    Logic and the complexity of reasoning.Hector J. Levesque - 1988 - Journal of Philosophical Logic 17 (4):355 - 389.
  2.  12
    Foundations of a functional approach to knowledge representation.Hector J. Levesque - 1984 - Artificial Intelligence 23 (2):155-212.
  3.  32
    All I know: A study in autoepistemic logic.Hector J. Levesque - 1990 - Artificial Intelligence 42 (2-3):263-309.
  4.  5
    Making believers out of computers.Hector J. Levesque - 1986 - Artificial Intelligence 30 (1):81-108.
  5.  7
    On our Best Behaviour.Hector J. Levesque - 2014 - Artificial Intelligence 213 (C):27-35.
  6.  42
    Intention is choice with commitment.Philip R. Cohen & Hector J. Levesque - 1990 - Artificial Intelligence 42 (2-3):213-261.
    This paper explores principles governing the rational balance among an agent's beliefs, goals, actions, and intentions. Such principles provide specifications for artificial agents, and approximate a theory of human action (as philosophers use the term). By making explicit the conditions under which an agent can drop his goals, i.e., by specifying how the agent is committed to his goals, the formalism captures a number of important properties of intention. Specifically, the formalism provides analyses for Bratman's three characteristic functional roles played (...)
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  7.  6
    Knowledge, action, and the frame problem.Richard B. Scherl & Hector J. Levesque - 2003 - Artificial Intelligence 144 (1-2):1-39.
  8.  13
    The Logic of Knowledge Bases.Hector J. Levesque & Gerhard Lakemeyer - 2001 - MIT Press.
    This book describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. The idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system decides how to act by running formal reasoning procedures over a body of explicitly represented knowledge—a knowledge base. The system is not programmed for specific tasks; rather, it is (...)
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  9.  13
    The Consistency of Syntactical Treatments of Knowledge.Hector J. Levesque - 1988 - Journal of Symbolic Logic 53 (2):665-666.
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  10. Teamwork.Philip R. Cohen & Hector J. Levesque - 1991 - Noûs 25 (4):487-512.
    What is involved when a group of agents decide to do something together? Joint action by a team appears to involve more than just the union of simultaneous individual actions, even when those actions are coordinated. We would not say that there is any teamwork involved in ordinary automobile traffic, even though the drivers act simultaneously and are coordinated (one hopes) by the traffic signs and rules of the road. But when a group of drivers decide to do something together, (...)
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  11.  7
    A semantic characterization of a useful fragment of the situation calculus with knowledge.Gerhard Lakemeyer & Hector J. Levesque - 2011 - Artificial Intelligence 175 (1):142-164.
  12.  8
    Reasoning about discrete and continuous noisy sensors and effectors in dynamical systems.Vaishak Belle & Hector J. Levesque - 2018 - Artificial Intelligence 262 (C):189-221.
  13.  6
    Regression and progression in stochastic domains.Vaishak Belle & Hector J. Levesque - 2020 - Artificial Intelligence 281 (C):103247.
  14.  13
    Robot location estimation in the situation calculus.Vaishak Belle & Hector J. Levesque - 2015 - Journal of Applied Logic 13 (4):397-413.
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  15.  7
    Support set selection for a bductive and default reasoning.Bart Selman & Hector J. Levesque - 1996 - Artificial Intelligence 82 (1-2):259-272.
  16.  13
    A Logical Theory of Localization.Vaishak Belle & Hector J. Levesque - 2016 - Studia Logica 104 (4):741-772.
    A central problem in applying logical knowledge representation formalisms to traditional robotics is that the treatment of belief change is categorical in the former, while probabilistic in the latter. A typical example is the fundamental capability of localization where a robot uses its noisy sensors to situate itself in a dynamic world. Domain designers are then left with the rather unfortunate task of abstracting probabilistic sensors in terms of categorical ones, or more drastically, completely abandoning the inner workings of sensors (...)
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  17.  10
    The complexity of path-based defeasible inheritance.Bart Selman & Hector J. Levesque - 1993 - Artificial Intelligence 62 (2):303-339.
  18.  7
    How to progress a database III.Stavros Vassos & Hector J. Levesque - 2013 - Artificial Intelligence 195 (C):203-221.
  19.  20
    An Epistemic Approach to Nondeterminism: Believing in the Simplest Course of Events.James P. Delgrande & Hector J. Levesque - 2019 - Studia Logica 107 (5):859-886.
    This paper describes an approach for reasoning in a dynamic domain with nondeterministic actions in which an agent’s beliefs correspond to the simplest, or most plausible, course of events consistent with the agent’s observations and beliefs. The account is based on an epistemic extension of the situation calculus, a first-order theory of reasoning about action that accommodates sensing actions. In particular, the account is based on a qualitative theory of nondeterminism. Our position is that for commonsense reasoning, the world is (...)
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  20.  3
    Introduction to the special volume on knowledge representation.Ronald J. Brachman, Hector J. Levesque & Ray Reiter - 1991 - Artificial Intelligence 49 (1-3):1-3.
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  21.  1
    Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning.Ronald J. Brachman, Hector J. Levesque & Ray Reiter - 1989 - Morgan Kaufmann Publishers.
    Proceedings held May 1989. Topics include temporal logic, hierarchical knowledge bases, default theories, nonmonotonic and analogical reasoning, formal theories of belief revision, and metareasoning. Annotation copyright Book News, Inc. Portland, Or.
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  22.  84
    Ability and knowing how in the situation calculus.Yves Lespérance, Hector J. Levesque, Fangzhen Lin & Richard B. Scherl - 2000 - Studia Logica 66 (1):165-186.
    Most agents can acquire information about their environments as they operate. A good plan for such an agent is one that not only achieves the goal, but is also executable, i.e., ensures that the agent has enough information at every step to know what to do next. In this paper, we present a formal account of what it means for an agent to know how to execute a plan and to be able to achieve a goal. Such a theory is (...)
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  23.  6
    Indexical knowledge and robot action—a logical account.Yves Lespérance & Hector J. Levesque - 1995 - Artificial Intelligence 73 (1-2):69-115.
  24.  1
    What robots can do: robot programs and effective achievability.Fangzhen Lin & Hector J. Levesque - 1998 - Artificial Intelligence 101 (1-2):201-226.
  25.  11
    Iterated belief change in the situation calculus.Steven Shapiro, Maurice Pagnucco, Yves Lespérance & Hector J. Levesque - 2011 - Artificial Intelligence 175 (1):165-192.
  26.  18
    Reasoning about noisy sensors and effectors in the situation calculus.Fahiem Bacchus, Joseph Y. Halpern & Hector J. Levesque - 1999 - Artificial Intelligence 111 (1-2):171-208.
  27.  9
    ConGolog, a concurrent programming language based on the situation calculus.Giuseppe De Giacomo, Yves Lespérance & Hector J. Levesque - 2000 - Artificial Intelligence 121 (1-2):109-169.
  28.  11
    Generating hard satisfiability problems.Bart Selman, David G. Mitchell & Hector J. Levesque - 1996 - Artificial Intelligence 81 (1-2):17-29.
  29.  28
    Jim Des Rivières and Hector J. Levesque. The consistency of syntactical treatments of knowledge. Theoretical aspects of reasoning about knowledge, Proceedings of the 1986 conference, edited by Joseph Y. Halpern, Morgan Kaufmann Publishers, Los Altos1986, pp. 115–130. [REVIEW]William J. Rapaport - 1988 - Journal of Symbolic Logic 53 (2):665-666.
  30.  6
    Review: Jim des Rivieres, Hector J. Levesque, The Consistency of Syntactical Treatments of Knowledge. [REVIEW]William J. Rapaport - 1988 - Journal of Symbolic Logic 53 (2):665-666.
  31.  17
    Common Sense, the Turing Test, and the Quest for Real AI: by Hector J. Levesque, Cambridge, MA, MIT Press, 2017, xv + 172 pp., $16.95. [REVIEW]George J. Aulisio - 2019 - The European Legacy 25 (1):105-107.
    Volume 25, Issue 1, February 2020, Page 105-107.
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  32.  15
    Hector J. Levesque, "Common Sense, the Turing Test, and the Quest for Real AI.".Sheldon Richmond - 2021 - Philosophy in Review 41 (1):25-28.
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  33.  82
    Catastrophe theory as applied to the social and biological sciences: A critique.Héctor J. Sussmann & Raphael S. Zahler - 1978 - Synthese 37 (2):117 - 216.
  34.  44
    Catastrophe theory.Hector J. Sussmann - 1975 - Synthese 31 (2):229 - 270.
  35.  25
    Catastrophe Theory: A Preliminary Critical Study.Hector J. Sussmann - 1976 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1976:256-286.
    Some basic mathematical facts pertaining to " Catastrophe Theory" are sketched. The alleged applications to the social sciences are studied. Three representative models, due to E.C. Zeeman, are described in detail, and critically analyzed. The models are found to be vaguely formulated, to be based on false hypotheses, to lead to few nontrivial predictions. Moreover, most of those predictions do not agree with reality. Finally, the only nontrivial mathematical result used in these models - Thom 's theorem - is found (...)
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  36.  7
    Aesthetic Interactionism and My Brilliant Friend.Héctor J. Pérez - 2023 - Rivista di Estetica 83:16-26.
    The aim of this paper is to explore the interaction between aesthetic properties and cognitive value in serial television. This study is based on a survey focused specifically on one television series: the second season of My Brilliant Friend, created by Saverio Costanzo. The survey was designed with the aim of getting respondents to express their perceptions of the relationship between the aesthetic qualities of the series and their assessment of it in cognitive terms. The responses obtained in the survey (...)
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  37.  5
    The Human Kingdom: A Study of the Nature and Destiny of Man in the Light of Today's Knowledge.Hector J. Ritey - 1962 - Jason Aronson.
    To find more information about Rowman and Littlefield titles, please visit www.rowmanlittlefield.com.
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  38.  3
    Solipsismo y mundo externo en la filosofía de G.W. Leibniz.Héctor J. Ayala - 2003 - Valencia: Editorial UPV.
  39.  26
    Aesthetics of the Narrative Climax in Contemporary TV Serials.Héctor J. Pérez - 2022 - Journal of Aesthetics and Art Criticism 80 (2):214-223.
    This article draws on concepts from cognitive psychology to explore the significance of the narrative climax, focusing on the final climax of the series The Americans as a case study. Two aspects of the aesthetic experience are considered: the special intensity that climaxes elicit, and the diversity of the cognitive content they generate, which can include both aesthetic and non-aesthetic properties. The climax is experienced in a state of absorption triggered by a set of strategies of temporal prolongation related to (...)
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  40. Crónica.Héctor J. Padrón - 1973 - Philosophia (Misc.) 39:179.
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  41. Catálogo crítico de publicaciones recientes.Héctor J. Padrón - 1973 - Philosophia (Misc.) 39:151.
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  42. Expresión, revelación E inspiración en hesíodo.Héctor J. Padrón - 1972 - Philosophia (Misc.) 38:51.
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  43. Tecnociencia y crisis ambiental.Héctor J. Padrón - 1999 - Sapientia 54 (205):219-226.
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  44. Una nueva edición de heráclito.Héctor J. Padrón - 1973 - Philosophia (Misc.) 39:143.
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  45.  8
    Cognition, Emotion, and Aesthetics in Contemporary Serial Television.Ted Nannicelli & Héctor J. Pérez - 2021 - Routledge.
    This book posits an interconnection between the ways in which contemporary television serials cue cognitive operations, solicit emotional responses, and elicit aesthetic appreciation. The chapters explore a number of questions including: How do the particularities of form and style in contemporary serial television engage us cognitively, emotionally, and aesthetically? How do they foster cognitive and emotional effects such as feeling suspense, anticipation, surprise, satisfaction, and disappointment? Why and how do we value some serials while disliking others? What is it about (...)
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  46. Subjetivistas radicales Y hermenéutica en la escuela austríaca de economía1.Miguel Verstraete, Héctor J. Padrón, Jorge Martínez Barrera & Carlos I. Massini Correas - 1998 - Sapientia 53 (204):419.
     
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  47.  75
    Ego boundaries, shamanic-like techniques, and subjective experience: An experimental study.Adam J. Rock, Jessica M. Wilson, Luke J. Johnston & Janelle V. Levesque - 2008 - Anthropology of Consciousness 19 (1):60-83.
    The subjective effects and therapeutic potential of the shamanic practice of journeying is well known. However, previous research has neglected to provide a comprehensive assessment of the subjective effects of shamanic-like journeying techniques on non-shamans. Shamanic-like techniques are those that demonstrate some similarity to shamanic practices and yet deviate from what may genuinely be considered shamanism. Furthermore, the personality traits that influence individual susceptibility to shamanic-like techniques are unclear. The aim of the present study was, thus, to investigate experimentally the (...)
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  48.  16
    Vividness of recollection is supported by eye movements in individuals with high, but not low trait autobiographical memory.Michael J. Armson, Nicholas B. Diamond, Laryssa Levesque, Jennifer D. Ryan & Brian Levine - 2021 - Cognition 206 (C):104487.
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  49. Letters From an American Farmer.J. Hector St John de Crèvecoeur - 1904 - Oxford University Press UK.
    Written by an emigrant French aristocrat turned farmer, the Letters from an American Farmer posed the famous question `What, then, is the American, this new man?', as the new nation took shape before the eyes of the world. Addressing some of American literature's most pressing concerns and issues of identity, the Letters celebrates personal determination, freedom from institutional oppression and the largeness and fertility of the land, and also raises darker and more symbolic elements, particularly slavery. This is the only (...)
     
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  50.  32
    Empirical Encounters with Computational Irreducibility and Unpredictability.Hector Zenil, Fernando Soler-Toscano & Joost J. Joosten - 2012 - Minds and Machines 22 (3):149-165.
    The paper presents an exploration of conceptual issues that have arisen in the course of investigating speed-up and slowdown phenomena in small Turing machines, in particular results of a test that may spur experimental approaches to the notion of computational irreducibility. The test involves a systematic attempt to outrun the computation of a large number of small Turing machines (3 and 4 state, 2 symbol) by means of integer sequence prediction using a specialized function for that purpose. The experiment prompts (...)
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