61 found
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  1.  60
    The Construction of Reality.Michael A. Arbib & Mary B. Hesse - 1986 - New York: Cambridge University Press. Edited by Mary B. Hesse.
    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.  45
    Neurolinguistics must be computational.Michael A. Arbib & David Caplan - 1979 - Behavioral and Brain Sciences 2 (3):449-460.
  4.  42
    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.  18
    Brains, Machines, and Mathematics.Michael A. Arbib - 1970 - Journal of Symbolic Logic 35 (3):482-483.
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  6.  15
    Unified Theories of Cognition.Michael A. Arbib - 1993 - Artificial Intelligence 59 (1-2):265-283.
  7.  38
    (1 other version)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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  8.  18
    The creativity of architects.Michael A. Arbib - 2024 - Behavioral and Brain Sciences 47:e91.
    TA builds on the state of mind (SoM) framework to offer the novelty-seeking model (NSM). The model relates curiosity to creativity but this commentary focuses on creativity: (i) It assesses the SoM + NSM model of creativity-in-the-lab, showing that the focus on semantic networks is inadequate. (ii) It discusses architectural design to sketch ideas for a theory of “big C” creativity.
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  9. 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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  10.  42
    Multiple representations of space underlying behavior.Israel Lieblich & Michael A. Arbib - 1982 - Behavioral and Brain Sciences 5 (4):627-640.
  11.  31
    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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  12.  27
    Computational challenges of evolving the language-ready brain.Michael A. Arbib - 2018 - Interaction Studies 19 (1-2):7-21.
    Computational modeling of the macaque brain grounds hypotheses on the brain of LCA-m (the last common ancestor of monkey and human). Elaborations thereof provide a brain model for LCA-c (c for chimpanzee). The Mirror System Hypothesis charts further steps via imitation and pantomime to protosign and protolanguage on the path to a "language-ready brain" inHomo sapiens,with the path to speech being indirect. The material poses new challenges for both experimentation and modeling.
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  13.  73
    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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  14.  82
    (1 other version)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 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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  15.  61
    Theories of Abstract Automata.Michael A. Arbib - 1972 - Journal of Symbolic Logic 37 (2):412-413.
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  16.  63
    Complex imitation and the language-ready brain.Michael A. Arbib - forthcoming - Language and Cognition.
  17.  88
    A category-theoretic approach to systems in a fuzzy world.Michael A. Arbib & Ernest G. Manes - 1975 - Synthese 30 (3-4):381 - 406.
  18. 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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  19. Consciousness: The secondary role of language.Michael A. Arbib - 1972 - Journal of Philosophy 69 (5):579-591.
  20.  24
    Memory limitations of stimulus-response models.Michael A. Arbib - 1969 - Psychological Review 76 (5):507-510.
  21.  16
    Sensorimotor transformations in the worlds of frogs and robots.Michael A. Arbib & Jim-Shih Liaw - 1995 - Artificial Intelligence 72 (1-2):53-79.
  22.  32
    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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  23. Co-evolution of human consciousness and language.Michael A. Arbib - 2001 - Annals of the New York Academy of Sciences 929:195-220.
  24.  30
    Précis of How the brain got language: The Mirror System Hypothesis.Michael A. Arbib - forthcoming - Language and Cognition.
  25. 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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  26.  12
    Compositionality and Beyond: Embodied Meaning in Language and Protolanguage.Michael A. Arbib - 2012 - In Markus Werning, Wolfram Hinzen & Edouard Machery (eds.), The Oxford Handbook of Compositionality. Oxford University Press.
    This article mentions that a formal view of compositional semantics is helpful both for what it reveals about the structure of language and also for what it deletes, including context, the use of compositionality to index rather than define meaning, and the role of idioms. It also discusses how Construction Grammar allows one to incorporate idioms into a framework in which compositionality may sometimes use familiar sequences of words as atoms when the meanings of single words do not themselves contribute (...)
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  27. Beware the passionate robot.Michael A. Arbib - 2004 - In Jean-Marc Fellous & Michael A. Arbib (eds.), Who Needs Emotions?: The Brain Meets the Robot. Oxford University Press USA.
  28.  32
    (1 other version)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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  29.  71
    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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  30.  14
    (2 other versions)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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  31. Semantic networks.Michael A. Arbib - 2002 - In The Handbook of Brain Theory and Neural Networks, Second Edition. MIT Press.
  32.  27
    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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  33.  31
    A new synthesis?Michael A. Arbib - 1981 - Behavioral and Brain Sciences 4 (4):619-619.
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  34.  19
    Advantages of experimentation in neuroscience.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):368-369.
  35.  96
    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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  36.  38
    Cooperative computation as a concept for brain theory.Michael A. Arbib - 1979 - Behavioral and Brain Sciences 2 (3):475-483.
  37.  14
    Consciousness: The Secondary of Language.Michael A. Arbib - 1972 - Journal of Philosophy 69 (18):579.
  38.  30
    From cooperative computation to man/machine symbiosis.Michael A. Arbib - 1993 - Behavioral and Brain Sciences 16 (4):748-749.
  39.  27
    Grounding the mirror system hypothesis for the evolution of the language-ready brain.Michael A. Arbib - 2002 - In Angelo Cangelosi & Domenico Parisi (eds.), Simulating the Evolution of Language. Springer Verlag. pp. 229--254.
  40.  15
    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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  41.  29
    Knowledge is mutable.Michael A. Arbib - 1983 - Behavioral and Brain Sciences 6 (1):64-64.
  42.  23
    Many levels: More than one is algorithmic.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):478-479.
  43.  52
    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.  23
    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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  45.  23
    Neuroethology: A call for less exclusivity and more theory.Michael A. Arbib - 1984 - Behavioral and Brain Sciences 7 (3):381.
  46. 6 Neural expectations.Michael A. Arbib & Giacomo Rizzolatti - 1999 - In Philip R. Loockvane (ed.), The nature of concepts: evolution, structure, and representation. New York: Routledge.
     
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  47.  29
    On making distinctions that are not maintained.Michael A. Arbib - 1978 - Behavioral and Brain Sciences 1 (2):227-228.
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  48.  42
    Of schemas, neural nets, and Rana computatrix.Michael A. Arbib - 1987 - Behavioral and Brain Sciences 10 (3):451-465.
  49.  53
    Organizing the brain's diversities.Michael A. Arbib & Peter Érdi - 2000 - Behavioral and Brain Sciences 23 (4):551-565.
    We clarify the arguments in Neural organization: Structure, function, and dynamics, acknowledge important contributions cited by our critics, and respond to their criticisms by charting directions for further development of our integrated approach to theoretical and empirical studies of neural organization. We first discuss functional organization in general (behavior versus cognitive functioning, the need to study body and brain together, function in ontogeny and phylogeny) and then focus on schema theory (noting that schema theory is not just a top-down theory (...)
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  50.  64
    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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