73 found
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  1.  61
    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.  24
    Neurolinguistics Must Be Computational.Michael A. Arbib & David Caplan - 1979 - Behavioral and Brain Sciences 2 (3):449-460.
  4.  20
    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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  5.  7
    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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  6.  7
    Brains, Machines, and Mathematics.Michael A. Arbib - 1970 - Journal of Symbolic Logic 35 (3):482-483.
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  7.  18
    Multiple Representations of Space Underlying Behavior.Israel Lieblich & Michael A. Arbib - 1982 - Behavioral and Brain Sciences 5 (4):627-640.
  8.  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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  9.  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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  10.  89
    Emotions: From Brain to Robot.Michael A. Arbib & Jean-Marc Fellous - 2004 - Trends in Cognitive Sciences 8 (12):554-561.
  11.  67
    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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  12.  41
    Theories of Abstract Automata.Michael A. Arbib - 1972 - Journal of Symbolic Logic 37 (2):412-413.
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  13.  95
    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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  14.  71
    A Category-Theoretic Approach to Systems in a Fuzzy World.Michael A. Arbib & Ernest G. Manes - 1975 - Synthese 30 (3-4):381 - 406.
  15. Co-Evolution of Human Consciousness and Language.Michael A. Arbib - 2001 - Annals of the New York Academy of Sciences 929:195-220.
  16.  99
    Consciousness: The Secondary Role of Language.Michael A. Arbib - 1972 - Journal of Philosophy 69 (5):579-591.
  17.  15
    Précis of How the Brain Got Language: The Mirror System Hypothesis.Michael A. Arbib - forthcoming - Language and Cognition.
  18.  15
    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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  19. Beware the Passionate Robot.Michael A. Arbib - 2004 - In J. Fellous (ed.), Who Needs Emotions?: The Brain Meets the Robot. Oxford University Press.
  20.  12
    Memory Limitations of Stimulus-Response Models.Michael A. Arbib - 1969 - Psychological Review 76 (5):507-510.
  21.  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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  22.  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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  23.  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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  24.  27
    Complex Imitation and the Language-Ready Brain.Michael A. Arbib - forthcoming - Language and Cognition.
  25.  75
    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.
  26.  20
    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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  27. Semantic Networks.Michael A. Arbib - 2002 - In M. Arbib (ed.), The Handbook of Brain Theory and Neural Networks. MIT Press.
     
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  28.  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.
  29.  11
    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.
  30.  27
    Interweaving Protosign and Protospeech: Further Developments Beyond the Mirror.Michael A. Arbib - 2005 - Interaction Studies 6 (2):145-171.
  31.  20
    Interweaving Protosign and Protospeech: Further Developments Beyond the Mirror.Michael A. Arbib - 2005 - Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 6 (2):145-171.
  32.  74
    Précis of Neural Organization: Structure, Function, and Dynamics.Michael A. Arbib & Péter Érdi - 2000 - Behavioral and Brain Sciences 23 (4):513-533.
    Neural organization: Structure, function, and dynamics shows how theory and experiment can supplement each other in an integrated, evolving account of the brain's structure, function, and dynamics. (1) Structure: Studies of brain function and dynamics build on and contribute to an understanding of many brain regions, the neural circuits that constitute them, and their spatial relations. We emphasize Szentágothai's modular architectonics principle, but also stress the importance of the microcomplexes of cerebellar circuitry and the lamellae of hippocampus. (2) Function: Control (...)
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  33.  17
    Grounding the Mirror System Hypothesis for the Evolution of the Language-Ready Brain.Michael A. Arbib - 2002 - In A. Cangelosi & D. Parisi (eds.), Simulating the Evolution of Language. Springer Verlag. pp. 229--254.
  34.  5
    Consciousness: The Secondary of Language.Michael A. Arbib - 1972 - Journal of Philosophy 69 (18):579.
  35.  3
    A Developmental Model of Information Processing in the Child.Michael A. Arbib & Roy M. Kahn - 1969 - Perspectives in Biology and Medicine 12 (3):397-418.
  36.  12
    A New Synthesis?Michael A. Arbib - 1981 - Behavioral and Brain Sciences 4 (4):619-619.
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  37.  9
    Advantages of Experimentation in Neuroscience.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):368-369.
  38.  80
    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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  39.  26
    Cooperative Computation as a Concept for Brain Theory.Michael A. Arbib - 1979 - Behavioral and Brain Sciences 2 (3):475-483.
  40.  16
    From Cooperative Computation to Man/Machine Symbiosis.Michael A. Arbib - 1993 - Behavioral and Brain Sciences 16 (4):748-749.
  41.  8
    Introducing a Special Issue.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):1-6.
    The paper introduces a Special Issue of Interaction Studies which includes 21 papers based on presentations and discussion at a workshop entitled “How the Brain Got Language: Towards a New Road Map.” Unifying themes include the comparative study of brain, behavior and communication in monkeys, apes and humans, and an EvoDevoSocio framework for approaching biological and cultural evolution within a shared perspective. The final article of the special issue builds on the previous papers to present “The Comparative Neuroprimatology 2018 Road (...)
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  42.  1
    Interweaving Protosign and Protospeech.Michael A. Arbib - 2005 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 6 (2):145-171.
    We distinguish “language readiness” from “having language” and outline a hypothesis for the evolution of the language-ready brain and language involving seven stages: S1: grasping; S2: a mirror system for grasping; S3: a simple imitation system for grasping, shared with the common ancestor of human and chimpanzee; S4: a complex imitation system for grasping; S5: protosign, breaking through the fixed repertoire of primate vocalizations to yield an open repertoire for communication; S6: protospeech, the open-ended production and perception of sequences of (...)
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  43. 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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  44.  20
    Knowledge is Mutable.Michael A. Arbib - 1983 - Behavioral and Brain Sciences 6 (1):64-64.
  45.  9
    Many Levels: More Than One is Algorithmic.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):478-479.
  46.  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.
  47.  7
    Microcomplexes: The Basic Unit of the Cerebellar Role in Adaptive Motor Control.Michael A. Arbib & Jacob Spoelstra - 1997 - Behavioral and Brain Sciences 20 (2):245-246.
    We offer a critique of the role of the parallel fiber beam as the unit of cerebellar computation, with the as its mode of operation. Instead we see the microcomplex linking cerebellar cortex and nuclei as the unit, with parallel fibers providing the means to coordinate the effects of microcomplexes in modulating various motor pattern generators (MPGs).
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  48.  12
    Neuroethology: A Call for Less Exclusivity and More Theory.Michael A. Arbib - 1984 - Behavioral and Brain Sciences 7 (3):381.
  49. 6 Neural Expectations.Michael A. Arbib & Giacomo Rizzolatti - 1999 - In Philip R. Loockvane (ed.), The Nature of Concepts: Evolution, Structure, and Representation. Routledge.
     
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  50.  21
    On Making Distinctions That Are Not Maintained.Michael A. Arbib - 1978 - Behavioral and Brain Sciences 1 (2):227-228.
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