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Michael A. Arbib [73]Michael Arbib [9]
  1.  64
    The Construction of Reality.Michael A. Arbib & Mary B. Hesse - 1986 - Cambridge University Press.
    In this book, Michael Arbib, a researcher in artificial intelligence and brain theory, joins forces with Mary Hesse, a philosopher of science, to present an integrated account of how humans 'construct' reality through interaction with the social and physical world around them. The book is a major expansion of the Gifford Lectures delivered by the authors at the University of Edinburgh in the autumn of 1983. The authors reconcile a theory of the individual's construction of reality as a network of (...)
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  2. From Monkey-Like Action Recognition to Human Language: An Evolutionary Framework for Neurolinguistics.Michael A. Arbib - 2005 - Behavioral and Brain Sciences 28 (2):105-124.
    The article analyzes the neural and functional grounding of language skills as well as their emergence in hominid evolution, hypothesizing stages leading from abilities known to exist in monkeys and apes and presumed to exist in our hominid ancestors right through to modern spoken and signed languages. The starting point is the observation that both premotor area F5 in monkeys and Broca's area in humans contain a “mirror system” active for both execution and observation of manual actions, and that F5 (...)
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  3.  25
    Neurolinguistics Must Be Computational.Michael A. Arbib & David Caplan - 1979 - Behavioral and Brain Sciences 2 (3):449-460.
  4. The Metaphorical Brains.Michael Arbib - 1998 - Artificial Intelligence 101 (1-2):323-335.
  5.  68
    How to Bootstrap a Human Communication System.Nicolas Fay, Michael Arbib & Simon Garrod - 2013 - Cognitive Science 37 (7):1356-1367.
    How might a human communication system be bootstrapped in the absence of conventional language? We argue that motivated signs play an important role (i.e., signs that are linked to meaning by structural resemblance or by natural association). An experimental study is then reported in which participants try to communicate a range of pre-specified items to a partner using repeated non-linguistic vocalization, repeated gesture, or repeated non-linguistic vocalization plus gesture (but without using their existing language system). Gesture proved more effective (measured (...)
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  6.  21
    Neural Expectations: A Possible Evolutionary Path From Manual Skills to Language.Michael A. Arbib & Giacomo Rizzolatti - forthcoming - Communication and Cognition: An Interdisciplinary Quarterly Journal.
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  7. Unified Theories of Cognition.Michael A. Arbib - 1993 - Artificial Intelligence 59 (1-2):265-283.
  8. The Handbook of Brain Theory and Neural Networks.Michael A. Arbib (ed.) - 1998 - MIT Press.
    Choice Outstanding Academic Title, 1996. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to great questions: How does the brain work? How can we build intelligent machines? While many books discuss limited aspects of one subfield or another of brain theory and neural networks, the Handbook covers the (...)
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  9.  11
    Handbook of Brain Theory and Neural Networks.Michael A. Arbib (ed.) - 1995 - MIT Press.
    Choice Outstanding Academic Title, 1996. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networkscharts the immense progress made in recent years in many specific areas related to two great questions: How does the brain work? and How can we build intelligent machines? While many books have appeared on limited aspects of one subfield or another of brain theory and neural networks, the (...)
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  10.  7
    Brains, Machines, and Mathematics.Michael A. Arbib - 1970 - Journal of Symbolic Logic 35 (3):482-483.
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  11. In Search of the Person: Philosophical Explorations in Cognitive Science.Michael A. Arbib - 1987 - The Personalist Forum 3 (1):78-80.
     
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  12.  19
    Multiple Representations of Space Underlying Behavior.Israel Lieblich & Michael A. Arbib - 1982 - Behavioral and Brain Sciences 5 (4):627-640.
  13.  18
    Levels of Modeling of Mechanisms of Visually Guided Behavior.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):407-436.
    Intermediate constructs are required as bridges between complex behaviors and realistic models of neural circuitry. For cognitive scientists in general, schemas are the appropriate functional units; brain theorists can work with neural layers as units intermediate between structures subserving schemas and small neural circuits.After an account of different levels of analysis, we describe visuomotor coordination in terms of perceptual schemas and motor schemas. The interest of schemas to cognitive science in general is illustrated with the example of perceptual schemas in (...)
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  14.  6
    Computational Challenges of Evolving the Language-Ready Brain.Michael A. Arbib - 2018 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 19 (1-2):7-21.
    Computational modeling of the macaque brain grounds hypotheses on the brain of LCA-m. Elaborations thereof provide a brain model for LCA-c. The Mirror System Hypothesis charts further steps via imitation and pantomime to protosign and protolanguage on the path to a "language-ready brain" in Homo sapiens, with the path to speech being indirect. The material poses new challenges for both experimentation and modeling.
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  15.  90
    Emotions: From Brain to Robot.Michael A. Arbib & Jean-Marc Fellous - 2004 - Trends in Cognitive Sciences 8 (12):554-561.
  16.  70
    The Handbook of Brain Theory and Neural Networks, Second Edition.Michael A. Arbib (ed.) - 2002 - MIT Press.
    A new, dramatically updated edition of the classic resource on the constantly evolving fields of brain theory and neural networks.
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  17. Schemas Versus Symbols: A Vision From the 90s.Michael A. Arbib - 2021 - Journal of Knowledge Structures and Systems 2 (1):68-74.
    Thirty years ago, I elaborated on a position that could be seen as a compromise between an "extreme," symbol-based AI, and a "neurochemical reductionism" in AI. The present article recalls aspects of the espoused framework of schema theory that, it suggested, could provide a better bridge from human psychology to brain theory than that offered by the symbol systems of A. Newell and H. A. Simon.
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  18.  43
    Theories of Abstract Automata.Michael A. Arbib - 1972 - Journal of Symbolic Logic 37 (2):412-413.
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  19.  96
    A Piagetian Perspective on Mathematical Construction.Michael A. Arbib - 1990 - Synthese 84 (1):43 - 58.
    In this paper, we offer a Piagetian perspective on the construction of the logico-mathematical schemas which embody our knowledge of logic and mathematics. Logico-mathematical entities are tied to the subject's activities, yet are so constructed by reflective abstraction that they result from sensorimotor experience only via the construction of intermediate schemas of increasing abstraction. The axiom set does not exhaust the cognitive structure (schema network) which the mathematician thus acquires. We thus view truth not as something to be defined within (...)
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  20.  72
    A Category-Theoretic Approach to Systems in a Fuzzy World.Michael A. Arbib & Ernest G. Manes - 1975 - Synthese 30 (3-4):381 - 406.
  21. Co-Evolution of Human Consciousness and Language.Michael A. Arbib - 2001 - Annals of the New York Academy of Sciences 929:195-220.
  22.  99
    Consciousness: The Secondary Role of Language.Michael A. Arbib - 1972 - Journal of Philosophy 69 (5):579-591.
  23.  33
    Complex Imitation and the Language-Ready Brain.Michael A. Arbib - forthcoming - Language and Cognition.
  24.  17
    Précis of How the Brain Got Language: The Mirror System Hypothesis.Michael A. Arbib - forthcoming - Language and Cognition.
  25.  16
    A Programming Approach to Computability.A. J. Kfoury, Robert N. Moll & Michael A. Arbib - 1987 - Journal of Symbolic Logic 52 (1):289-291.
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  26.  13
    Memory Limitations of Stimulus-Response Models.Michael A. Arbib - 1969 - Psychological Review 76 (5):507-510.
  27. Beware the Passionate Robot.Michael A. Arbib - 2004 - In J. Fellous (ed.), Who Needs Emotions?: The Brain Meets the Robot. Oxford University Press.
  28.  50
    From Grasping to Complex Imitation: Mirror Systems on the Path to Language.Michael A. Arbib & James Bonaiuto - 2007 - Mind and Society 7 (1):43-64.
    We focus on the evolution of action capabilities which set the stage for language, rather than analyzing how further brain evolution built on these capabilities to yield a language-ready brain. Our framework is given by the Mirror System Hypothesis, which charts a progression from a monkey-like mirror neuron system (MNS) to a chimpanzee-like mirror system that supports simple imitation and thence to a human-like mirror system that supports complex imitation and language. We present the MNS2 model, a new model of (...)
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  29.  21
    Warren McCulloch's Search for the Logic of the Nervous System.Michael A. Arbib - 2000 - Perspectives in Biology and Medicine 43 (2):193-216.
  30.  19
    Holophrasis and the Protolanguage Spectrum.Michael A. Arbib - 2008 - Interaction Studies 9 (1):154-168.
    Much of the debate concerning the question “Was Protolanguage Holophrastic?” assumes that protolanguage existed as a single, stable transitional form between communication systems akin to those of modern primates and human languages as we know them today. The present paper argues for a spectrum of protolanguages preceding modern languages emphasizing that protospeech was intertwined with protosign and gesture; grammar emerged from a growing population of constructions; and an increasing protolexicon drove the emergence of phonological structure. This framework weakens arguments for (...)
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  31.  11
    Holophrasis and the Protolanguage Spectrum.Michael A. Arbib - 2008 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 9 (1):154-168.
    Much of the debate concerning the question “Was Protolanguage Holophrastic?” assumes that protolanguage existed as a single, stable transitional form between communication systems akin to those of modern primates and human languages as we know them today. The present paper argues for a spectrum of protolanguages preceding modern languages emphasizing that protospeech was intertwined with protosign and gesture; grammar emerged from a growing population of constructions; and an increasing protolexicon drove the emergence of phonological structure. This framework weakens arguments for (...)
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  32. Introducing the Neuron.Michael Arbib - 1995 - In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press. pp. 4--11.
  33. Sensorimotor Transformations in the Worlds of Frogs and Robots.Michael A. Arbib & Jim-Shih Liaw - 1995 - Artificial Intelligence 72 (1-2):53-79.
  34.  76
    Review Essay: Niche Construction and the Evolution of Language: Was Territory Scavenging the One Key Factor? Review Essay for Derek Bickerton (2009), Adams Tongue. How Humans Made Language, How Language Made Humans. New York: Hill Wang.Michael A. Arbib - 2011 - Interaction Studies 12 (1):162-193.
  35. Semantic Networks.Michael A. Arbib - 2002 - In M. Arbib (ed.), The Handbook of Brain Theory and Neural Networks. MIT Press.
     
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  36.  21
    Three Main Neuromodulatory Systems Involved in Emotion.Michael A. Arbib & Jean-Marc Fellous - 2004 - Trends in Cognitive Sciences 8 (12):554-561.
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  37.  41
    The Comparative Neuroprimatology 2018 Road Map for Research on How the Brain Got Language.Michael A. Arbib, Francisco Aboitiz, Judith M. Burkart, Michael C. Corballis, Gino Coudé, Erin Hecht, Katja Liebal, Masako Myowa-Yamakoshi, James Pustejovsky, Shelby S. Putt, Federico Rossano, Anne E. Russon, P. Thomas Schoenemann, Uwe Seifert, Katerina Semendeferi, Chris Sinha, Dietrich Stout, Virginia Volterra, Sławomir Wacewicz & Benjamin Wilson - 2018 - Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 19 (1-2):370-387.
    We present a new road map for research on “How the Brain Got Language” that adopts an EvoDevoSocio perspective and highlights comparative neuroprimatology – the comparative study of brain, behavior and communication in extant monkeys and great apes – as providing a key grounding for hypotheses on the last common ancestor of humans and monkeys and chimpanzees and the processes which guided the evolution LCA-m → LCA-c → protohumans → H. sapiens. Such research constrains and is constrained by analysis of (...)
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  38.  13
    Review Essay: Niche Construction and the Evolution of Language: Was Territory Scavenging the One Key Factor? Review Essay for Derek Bickerton , Adam’s Tongue. How Humans Made Language, How Language Made Humans. New York: Hill & Wang.Michael A. Arbib - 2011 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 12 (1):162-193.
  39.  9
    Turing Machines, Finite Automata and Neural Nets.Michael Arbib - 1970 - Journal of Symbolic Logic 35 (3):482-482.
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  40.  82
    Brain, Meaning, Grammar, Evolution.Michael A. Arbib - 2003 - Behavioral and Brain Sciences 26 (6):668-669.
    I reject Jackendoff's view of Universal Grammar as something that evolved biologically but applaud his integration of blackboard architectures. I thus recall the HEARSAY speech understanding system—the AI system that introduced the concept of “blackboard”—to provide another perspective on Jackendoff's architecture.
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  41. Review Essay: Niche Construction and the Evolution of Language: Was Territory Scavenging the One Key Factor? Review Essay for Derek Bickerton (2009), Adam’s Tongue. How Humans Made Language, How Language Made Humans. New York: Hill & Wang.Michael A. Arbib - 2011 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 12 (1):162-193.
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  42. The Cognitive Structure of Emotions.Michael A. Arbib - 1992 - Artificial Intelligence 54 (1-2):229-240.
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  43.  40
    Modularity, Schemas and Neurons: A Critique of Fodor.Michael A. Arbib - 1989 - In Peter Slezak (ed.), Computers, Brains and Minds. Kluwer Academic Publishers. pp. 193--219.
  44.  54
    Protosign and Protospeech: An Expanding Spiral.Michael A. Arbib - 2003 - Behavioral and Brain Sciences 26 (2):209-210.
    The intriguing observation that left-cerebral dominance for vocalization is ancient, occurring in frogs, birds, and mammals, grounds Corballis's argument that the predominance of right-handedness may result from an association between manual gestures and vocalization in the evolution of language. This commentary supports the general thesis that language evolved “From hand to mouth” (Corballis 2002), while offering alternatives for some of Corballis's supporting arguments.
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  45.  35
    Rolando Lara Elena Sandoval Willi Borchers.Michael A. Arbib - 1985 - Cognitive Science 9 (4):399-401.
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  46.  47
    The Mirror System Hypothesis Stands but the Framework is Much Enriched.Michael A. Arbib - 2005 - Behavioral and Brain Sciences 28 (2):149-159.
    Challenges for extending the mirror system hypothesis include mechanisms supporting planning, conversation, motivation, theory of mind, and prosody. Modeling remains relevant. Co-speech gestures show how manual gesture and speech intertwine, but more attention is needed to the auditory system and phonology. The holophrastic view of protolanguage is debated, along with semantics and the cultural basis of grammars. Anatomically separated regions may share an evolutionary history.
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  47.  27
    Self and Society: Between God and Brain.Michael A. Arbib - 1998 - Trends in Cognitive Sciences 2 (10):377-378.
  48.  41
    Predicates: External Description or Neural Reality?Michael A. Arbib - 2003 - Behavioral and Brain Sciences 26 (3):285-286.
    Hurford argues that propositions of the form PREDICATE(x) represent conceptual structures that predate language and that can be explicated in terms of neural structure. I disagree, arguing that such predicates are descriptions of limited aspects of brain function, not available as representations in the brain to be exploited in the frog or monkey brain and turned into language in the human.
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  49.  26
    Cooperative Computation as a Concept for Brain Theory.Michael A. Arbib - 1979 - Behavioral and Brain Sciences 2 (3):475-483.
  50.  24
    Response to Deacon: Evolving Mirror Systems: Homologies and the Nature of Neuroinformatics.Michael A. Arbib & Mihail Bota - 2004 - Trends in Cognitive Sciences 8 (7):290-291.
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