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Lynton Lamb [3]Luis Lamb [3]Laura Lamb [2]Luis C. Lamb [2]
L. C. Lamb [1]L. Lamb [1]
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Luis Lamb
Universidade Federal do Rio Grande do Sul
  1.  33
    Neural-Symbolic Cognitive Reasoning.Artur D'Avila Garcez, Luis Lamb & Dov Gabbay - 2009 - New York: Springer.
    Humans are often extraordinary at performing practical reasoning. There are cases where the human computer, slow as it is, is faster than any artificial intelligence system. Are we faster because of the way we perceive knowledge as opposed to the way we represent it? -/- The authors address this question by presenting neural network models that integrate the two most fundamental phenomena of cognition: our ability to learn from experience, and our ability to reason from what has been learned. This (...)
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  2.  8
    We Will Show Them: Essays in Honour of Dov Gabbay.S. Artemov, H. Barringer, A. Garcez, L. Lamb & J. Woods (eds.) - 2005 - London: College Publications.
    This book provides an invaluable overview of the reach of logic. It provides reference to some of the most important, well-established results in logic, while at the same time offering insight into the latest research issues in the area. It also has a balance of theory and practice, containing essays in the areas of modal logic, intuitionistic logic, logic and language, nonmonotonic logic and logic programming, temporal logic, logic and learning, combination of logics, practical reasoning, logic and artificial intelligence, abduction, (...)
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  3.  11
    A Neural Cognitive Model of Argumentation with Application to Legal Inference and Decision Making.Artur S. D'Avila Garcez, Dov M. Gabbay & Luis C. Lamb - 2014 - Journal of Applied Logic 12 (2):109-127.
    Formal models of argumentation have been investigated in several areas, from multi-agent systems and artificial intelligence (AI) to decision making, philosophy and law. In artificial intelligence, logic-based models have been the standard for the representation of argumentative reasoning. More recently, the standard logic-based models have been shown equivalent to standard connectionist models. This has created a new line of research where (i) neural networks can be used as a parallel computational model for argumentation and (ii) neural networks can be used (...)
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  4.  8
    Labelled Natural Deduction for Conditional Logics of Normality.Krysia Broda, Dov Gabbay, Luís Lamb & Alessandra Russo - 2002 - Logic Journal of the IGPL 10 (2):123-163.
    We propose a family of Labelled Deductive Conditional Logic systems by defining a Labelled Deductive formalisation for the propositional conditional logics of normality proposed by Boutilier and Lamarre. By making use of the Compilation approach to Labelled Deductive Systems we define natural deduction rules for conditional logics and prove that our formalisation is a generalisation of the conditional logics of normality.
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  5.  22
    Public Good Provision and Fairness Issues for Climate Change Mitigation: A Classroom Experiment.Laura Lamb & Panagiotis Peter Tsigaris - 2011 - Journal of Business Ethics Education 8 (1):139-155.
    This article presents a new classroom experiment in order to illustrate and initiate discussion on the public good provision of prevention of dangerous anthropogenic climate change. The classroom game aids students’ understanding of the difficulty associated with funding public goods; the role of fairness in climate change negotiations; the risks associated with catastrophic climate change impact; and the free riding concept. The classroom game has been played in various business, economics and political science courses. Feedback received from students indicates a (...)
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  6.  19
    10.5840/Jbee20118110.Laura Lamb & Panagiotis Peter Tsigaris - 2000 - Journal of Business Ethics Education 1 (1):139-155.
    This article presents a new classroom experiment in order to illustrate and initiate discussion on the public good provision of prevention of dangerous anthropogenic climate change. The classroom game aids students’ understanding of the difficulty associated with funding public goods; the role of fairness in climate change negotiations; the risks associated with catastrophic climate change impact; and the free riding concept. The classroom game has been played in various business, economics and political science courses. Feedback received from students indicates a (...)
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  7.  18
    A Neural-Symbolic Perspective on Analogy.Rafael V. Borges, Artur S. D'Avila Garcez & Luis C. Lamb - 2008 - Behavioral and Brain Sciences 31 (4):379-380.
    The target article criticises neural-symbolic systems as inadequate for analogical reasoning and proposes a model of analogy as transformation (i.e., learning). We accept the importance of learning, but we argue that, instead of conflicting, integrated reasoning and learning would model analogy much more adequately. In this new perspective, modern neural-symbolic systems become the natural candidates for modelling analogy.
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  8.  5
    Book Reviews. [REVIEW]Lynton Lamb - 1962 - British Journal of Aesthetics 2 (4):367-368.
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  9.  12
    Compiled Labelled Deductive Systems a Uniform Presentation of Non-Classical Logics.Krysia Broda, Dov Gabbay, Luis Lamb & Alessandra Russo - 2004 - Hertfordshire: Institute of Physics/Research Studies Press.
    K. Broda, Dov M. Gabbay, Alessandra Russo (all computing or computer science, Imperial College, London) and LuÍs C. Lamb (Informatics, UFRGS, Brazil) argue that though the many families of logic may seem to differ in their logical nature, it is possible to provide them with a unifying logical framework whenever their semantics is axiomatizable in first-order logic. They provide such a framework based on the labeled deductive system methodology, and demonstrate how it works in such families as normal modal logics, (...)
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  10. "Townscape": Gordon Cullen. [REVIEW]Lynton Lamb - 1962 - British Journal of Aesthetics 2 (4):367.
     
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  11. The Purpose of Painting.Lynton Lamb - 1936 - Oxford University Press UK.
     
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  12. We Will Show Them! Essays in Honour of Dov Gabbay.Sergei Artemov, H. Barringer, A. S. D'Avila Garcez, L. C. Lamb & J. Woods (eds.) - 2005 - London, U.K.: College Publications.
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