Results for 'Héctor J. Ayala'

961 found
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  1.  9
    Solipsismo y mundo externo en la filosofía de G.W. Leibniz.Héctor J. Ayala - 2003 - Valencia: Editorial UPV.
  2.  74
    Logic and the complexity of reasoning.Hector J. Levesque - 1988 - Journal of Philosophical Logic 17 (4):355 - 389.
  3.  19
    Foundations of a functional approach to knowledge representation.Hector J. Levesque - 1984 - Artificial Intelligence 23 (2):155-212.
  4.  48
    All I know: A study in autoepistemic logic.Hector J. Levesque - 1990 - Artificial Intelligence 42 (2-3):263-309.
  5.  16
    Making believers out of computers.Hector J. Levesque - 1986 - Artificial Intelligence 30 (1):81-108.
  6.  19
    On our Best Behaviour.Hector J. Levesque - 2014 - Artificial Intelligence 213 (C):27-35.
  7.  44
    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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  8.  18
    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.  28
    The Consistency of Syntactical Treatments of Knowledge.Hector J. Levesque - 1988 - Journal of Symbolic Logic 53 (2):665-666.
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  10. Catastrophe theory as applied to the social and biological sciences: A critique.Héctor J. Sussmann & Raphael S. Zahler - 1978 - Synthese 37 (2):117 - 216.
  11.  49
    Catastrophe theory.Hector J. Sussmann - 1975 - Synthese 31 (2):229 - 270.
  12.  18
    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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  13. Tecnociencia y crisis ambiental.Héctor J. Padrón - 1999 - Sapientia 54 (205):219-226.
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  14.  7
    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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  15.  29
    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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  16.  56
    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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  17. 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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  18.  9
    Knowledge, action, and the frame problem.Richard B. Scherl & Hector J. Levesque - 2003 - Artificial Intelligence 144 (1-2):1-39.
  19.  32
    Human Evolution: Trails From the Past.Camilo J. Cela-Conde & Francisco J. Ayala - 2007 - Oxford University Press UK.
    Human Evolution provides a comprehensive overview of hominid evolution, synthesising data and approaches from fields as diverse as physical anthropology, evolutionary biology, molecular biology, genetics, archaeology, psychology and philosophy. The book starts with chapters on evolution, population genetics, systematics, and the methods for constructing evolutionary trees. These are followed by a comprehensive review of the fossil history of human evolution since our divergence from the apes. Subsequent chapters cover more recent data, both fossil and molecular, relating to the evolution of (...)
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  20.  23
    Reasoning about discrete and continuous noisy sensors and effectors in dynamical systems.Vaishak Belle & Hector J. Levesque - 2018 - Artificial Intelligence 262 (C):189-221.
  21.  99
    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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  22.  15
    Regression and progression in stochastic domains.Vaishak Belle & Hector J. Levesque - 2020 - Artificial Intelligence 281 (C):103247.
  23.  14
    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.
  24.  10
    Indexical knowledge and robot action—a logical account.Yves Lespérance & Hector J. Levesque - 1995 - Artificial Intelligence 73 (1-2):69-115.
  25.  25
    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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  26.  12
    What robots can do: robot programs and effective achievability.Fangzhen Lin & Hector J. Levesque - 1998 - Artificial Intelligence 101 (1-2):201-226.
  27.  14
    Support set selection for a bductive and default reasoning.Bart Selman & Hector J. Levesque - 1996 - Artificial Intelligence 82 (1-2):259-272.
  28.  23
    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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  29.  17
    The complexity of path-based defeasible inheritance.Bart Selman & Hector J. Levesque - 1993 - Artificial Intelligence 62 (2):303-339.
  30. Entrevista con Francisco J. Ayala.Francisco J. Ayala - 1983 - El Basilisco 15:78-93.
     
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  31.  12
    How to progress a database III.Stavros Vassos & Hector J. Levesque - 2013 - Artificial Intelligence 195 (C):203-221.
  32.  18
    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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  33.  11
    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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  34.  5
    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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  35.  29
    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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  36. 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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  37.  22
    Metabolomics meets lipidomics: Assessing the small molecule component of metabolism.Hector Gallart-Ayala, Tony Teav & Julijana Ivanisevic - 2020 - Bioessays 42 (12):2000052.
    Metabolomics, including lipidomics, is emerging as a quantitative biology approach for the assessment of energy flow through metabolism and information flow through metabolic signaling; thus, providing novel insights into metabolism and its regulation, in health, healthy ageing and disease. In this forward‐looking review we provide an overview on the origins of metabolomics, on its role in this postgenomic era of biochemistry and its application to investigate metabolite role and (bio)activity, from model systems to human population studies. We present the challenges (...)
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  38.  28
    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.
  39.  21
    Iterated belief change in the situation calculus.Steven Shapiro, Maurice Pagnucco, Yves Lespérance & Hector J. Levesque - 2011 - Artificial Intelligence 175 (1):165-192.
  40. Introduction and Institutionalization of Genetics in Mexico Ana Barahona, Susana Pinar and Francisco J. Ayala.Ana Barahona, Susana Pinar & Francisco J. Ayala - 2005 - Journal of the History of Biology 38 (2):273-299.
    We explore the distinctive characteristics of Mexico's society, politics and history that impacted the establishment of genetics in Mexico, as a new disciplinary field that began in the early 20th century and was consolidated and institutionalized in the second half. We identify about three stages in the institutionalization of genetics in Mexico. The first stage can be characterized by Edmundo Taboada, who was the leader of a research program initiated during the Cárdenas government (1934-1940), which was primarily directed towards improving (...)
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  41.  18
    Generating hard satisfiability problems.Bart Selman, David G. Mitchell & Hector J. Levesque - 1996 - Artificial Intelligence 81 (1-2):17-29.
  42.  15
    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.
  43. Teleological explanations in evolutionary biology.Francisco J. Ayala - 1970 - Philosophy of Science 37 (1):1-15.
    The ultimate source of explanation in biology is the principle of natural selection. Natural selection means differential reproduction of genes and gene combinations. It is a mechanistic process which accounts for the existence in living organisms of end-directed structures and processes. It is argued that teleological explanations in biology are not only acceptable but indeed indispensable. There are at least three categories of biological phenomena where teleological explanations are appropriate.
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  44. The biological concept of progress.F. J. Ayala - 1974 - In Francisco Jose Ayala & Theodosius Dobzhansky (eds.), Studies in the Philosophy of Biology: Reduction and Related Problems : [papers Presented at a Conference on Problems of Reduction in Biology Held in Villa Serbe, Bellagio, Italy 9-16 September 1972. Berkeley: University of California Press. pp. 339--354.
     
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  45. The biological roots of morality.Francisco J. Ayala - 1987 - Biology and Philosophy 2 (3):235-252.
    The question whether ethical behavior is biologically determined may refer either to thecapacity for ethics (e.i., the proclivity to judge human actions as either right or wrong), or to the moralnorms accepted by human beings for guiding their actions. My theses are: (1) that the capacity for ethics is a necessary attribute of human nature; and (2) that moral norms are products of cultural evolution, not of biological evolution.Humans exhibits ethical behavior by nature because their biological makeup determines the presence (...)
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  46. What the biological sciences can and cannot contribute to ethics.Francisco J. Ayala - 2009 - In Francisco José Ayala & Robert Arp (eds.), Contemporary debates in philosophy of biology. Malden, MA: Wiley-Blackwell. pp. 316–336.
    The question whether ethical behavior is biologically determined may refer either to the capacity for ethics (i.e., the proclivity to judge human actions as either right or wrong), or to the moral norms accepted by human beings for guiding their actions. I herein propose: (1) that the capacity for ethics is a necessary attribute of human nature; and (2) that moral norms are products of cultural evolution, not of biological evolution. Humans exhibit ethical behavior by nature because their biological makeup (...)
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  47.  31
    19. The Concept of Biological Progress.Francisco J. Ayala - 1974 - In Francisco Jose Ayala & Theodosius Dobzhansky (eds.), Studies in the philosophy of biology: reduction and related problems. Berkeley: University of California Press. pp. 339.
  48. What the biological sciences can and cannot contribute to ethics.Francisco J. Ayala - 2009 - In Francisco José Ayala & Robert Arp (eds.), Contemporary debates in philosophy of biology. Malden, MA: Wiley-Blackwell. pp. 316–336.
    The question whether ethical behavior is biologically determined may refer either to the capacity for ethics (i.e., the proclivity to judge human actions as either right or wrong), or to the moral norms accepted by human beings for guiding their actions. I herein propose: (1) that the capacity for ethics is a necessary attribute of human nature; and (2) that moral norms are products of cultural evolution, not of biological evolution. Humans exhibit ethical behavior by nature because their biological makeup (...)
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  49.  53
    Teleological Explanations versus Teleology.Francisco J. Ayala - 1998 - History and Philosophy of the Life Sciences 20 (1):41 - 50.
  50.  70
    Adaptation and Novelty: Teleological Explanations in Evolutionary Biology.Francisco J. Ayala - 1999 - History and Philosophy of the Life Sciences 21 (1):3 - 33.
    Knives, birds' wings, and mountain slopes are used for certain purposes: cutting, flying, and climbing. A bird's wings have in common with knives that they have been 'designed' for the purpose they serve, which purpose accounts for their existence, whereas mountain slopes have come about by geological processes independently of their uses for climbing. A bird's wings differ from a knife in that they have not been designed or produced by any conscious agent; rather, the wings, like the slopes, are (...)
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