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  1. Gossip: An intention-based account.Margaret A. Cuonzo - 2008 - Journal of Social Philosophy 39 (1):131–140.
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  • The replicative evolutionary model of animal and human minds.V. Csånanyi - 1987 - World Futures 23 (3):161-202.
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  • Natural sciences and the evolutionary models.Vilmos Csanyi - 1992 - World Futures 34 (1):15-24.
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  • Language acquisition: Genetically encoded instructions or a set of processing mechanisms?Richard F. Cromer - 1984 - Behavioral and Brain Sciences 7 (2):192.
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  • Through the agents' minds: Cognitive mediators of social action.Cristiano Castelfranchi - 2000 - Mind and Society 1 (1):109-140.
    Thesis: Macro-level social phenomena are implemented through the (social) actions and minds of the individuals. Without an explicit theory of the agents' minds that founds, agents' behavior we cannot understand macro-level social phenomena, and in particular how they work. AntiThesis: Mind is not enough: the theory of individual (social) mind and action is not enough to explain several macro-level social phenomena. First, there are pre-cognitive, objective social structures that constrain the actions of the agents; second, there are emergent, unaware or (...)
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  • Social versus ecological intelligence.Marina Cords - 1992 - Behavioral and Brain Sciences 15 (1):151-151.
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  • On the transmission of substratal features in creolisation.Chris Corne - 1984 - Behavioral and Brain Sciences 7 (2):191.
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  • Whence the motive for collaboration?John Collier - 1993 - Behavioral and Brain Sciences 16 (3):517-518.
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  • Operant conditioning and natural selection.Andrew M. Colman - 1984 - Behavioral and Brain Sciences 7 (4):684-685.
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  • Heuristically, “pain” is mainly in the brain.W. Crawford Clark - 1985 - Behavioral and Brain Sciences 8 (1):57-58.
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  • Applications and limitations of dynamic programming in behavioral theory.Colin W. Clark - 1988 - Behavioral and Brain Sciences 11 (1):134-134.
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  • The ontological status of intentional states: Nailing folk psychology to its perch.Paul M. Churchland - 1988 - Behavioral and Brain Sciences 11 (3):507.
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  • Semantic content: In defense of a network approach.Paul M. Churchland - 1986 - Behavioral and Brain Sciences 9 (1):139-140.
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  • Active symbols, limited storage and the power of natural intelligence.Eric Chown & Stephen Kaplan - 1992 - Behavioral and Brain Sciences 15 (3):442-443.
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  • Re-membering cognition.Susan F. Chipman - 1992 - Behavioral and Brain Sciences 15 (3):441-442.
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  • Tool use in Cebus: Its relation to object manipulation, the brain, and ecological adaptations.Suzanne Chevalier-Skolnikoff - 1989 - Behavioral and Brain Sciences 12 (3):610-627.
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  • Spontaneous tool use and sensorimotor intelligence in Cebus compared with other monkeys and apes.Suzanne Chevalier-Skolnikoff - 1989 - Behavioral and Brain Sciences 12 (3):561-588.
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  • Précis of How monkeys see the world.Dorothy L. Cheney & Robert M. Seyfarth - 1992 - Behavioral and Brain Sciences 15 (1):135-147.
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  • Characterizing the mind of another species.Dorothy L. Cheney & Robert M. Seyfarth - 1992 - Behavioral and Brain Sciences 15 (1):172-182.
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  • Classification of deceptive behavior according to levels of cognitive complexity.Suzanne Chevalier-Skolnikoff - 1988 - Behavioral and Brain Sciences 11 (2):249-251.
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  • Another “Just So” story: How the leopardguarders spot.Dorothy Cheney & Robert Seyfarth - 1988 - Behavioral and Brain Sciences 11 (3):506.
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  • Feeling and representing: Computational theory and the modularity of affect.Louis C. Charland - 1995 - Synthese 105 (3):273-301.
    In this paper I review some leading developments in the empirical theory of affect. I argue that (1) affect is a distinct perceptual representation governed system, and (2) that there are significant modular factors in affect. The paper concludes with the observation thatfeeler (affective perceptual system) may be a natural kind within cognitive science. The main purpose of the paper is to explore some hitherto unappreciated connections between the theory of affect and the computational theory of mind.
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  • Emotion as a natural kind: Towards a computational foundation for emotion theory.Louis C. Charland - 1995 - Philosophical Psychology 8 (1):59-84.
    In this paper I link two hitherto disconnected sets of results in the philosophy of emotions and explore their implications for the computational theory of mind. The argument of the paper is that, for just the same reasons that some computationalists have thought that cognition may be a natural kind, so the same can plausibly be argued of emotion. The core of the argument is that emotions are a representation-governed phenomenon and that the explanation of how they figure in behaviour (...)
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  • Animal concepts: Content and discontent.Nick Chater & Cecilia Heyes - 1994 - Mind and Language 9 (3):209-246.
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  • The intentionality of animal action.Cecilia Heyes & Anthony Dickinson - 1990 - Mind and Language 5 (1):87–103.
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  • What good is five percent of a language competence?A. Charles Catania - 1990 - Behavioral and Brain Sciences 13 (4):729-731.
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  • Modelling social action for AI agents.Cristiano Castelfranchi - 1998 - Artificial Intelligence 103 (1-2):157-182.
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  • Toward unified cognitive theory: The path is well worn and the trenches are deep.John M. Carroll - 1992 - Behavioral and Brain Sciences 15 (3):441-441.
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  • The cognitive functions of language.Peter Carruthers - 2002 - Behavioral and Brain Sciences 25 (6):657-674.
    This paper explores a variety of different versions of the thesis that natural language is involved in human thinking. It distinguishes amongst strong and weak forms of this thesis, dismissing some as implausibly strong and others as uninterestingly weak. Strong forms dismissed include the view that language is conceptually necessary for thought (endorsed by many philosophers) and the view that language is _de facto_ the medium of all human conceptual thinking (endorsed by many philosophers and social scientists). Weak forms include (...)
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  • Reframing the problem of intelligent behavior.Stuart K. Card - 1992 - Behavioral and Brain Sciences 15 (3):438-439.
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  • Innate grammars and the evolutionary presumption.Matt Cartmill - 1984 - Behavioral and Brain Sciences 7 (2):191.
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  • Fitness, currencies, and models.Thomas Caraco - 1988 - Behavioral and Brain Sciences 11 (1):133-133.
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  • A unified theory for psychologists?Richard A. Carlson & Mark Detweiler - 1992 - Behavioral and Brain Sciences 15 (3):440-440.
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  • Pain is three-dimensional, inner, and occurrent.Keith Campbell - 1985 - Behavioral and Brain Sciences 8 (1):56-57.
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  • Behaviorism and natural selection.C. B. G. Campbell - 1984 - Behavioral and Brain Sciences 7 (4):484-484.
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  • State, function, and optimization.William A. Calder - 1988 - Behavioral and Brain Sciences 11 (1):131-133.
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  • Toward the next generation in data quality: A new survey of primate tactical deception.R. W. Byrne & A. Whiten - 1988 - Behavioral and Brain Sciences 11 (2):267-273.
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  • Learning by imitation: A hierarchical approach.Richard W. Byrne & Anne E. Russon - 1998 - Behavioral and Brain Sciences 21 (5):667-684.
    To explain social learning without invoking the cognitively complex concept of imitation, many learning mechanisms have been proposed. Borrowing an idea used routinely in cognitive psychology, we argue that most of these alternatives can be subsumed under a single process, priming, in which input increases the activation of stored internal representations. Imitation itself has generally been seen as a This has diverted much research towards the all-or-none question of whether an animal can imitate, with disappointingly inconclusive results. In the great (...)
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  • Hierarchical levels of imitation.R. W. Byrne - 1993 - Behavioral and Brain Sciences 16 (3):516-517.
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  • Looking inside monkey minds: Milestone or millstone.Gordon M. Burghardt - 1992 - Behavioral and Brain Sciences 15 (1):150-151.
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  • Ethology and operant psychology.Gordon M. Burghardt - 1984 - Behavioral and Brain Sciences 7 (4):683-684.
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  • Anecdotes and critical anthropomorphism.Gordon M. Burghardt - 1988 - Behavioral and Brain Sciences 11 (2):248-249.
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  • How “weak” mindreaders inherited the earth.Cameron Buckner, Adam Shriver, Stephen Crowley & Colin Allen - 2009 - Behavioral and Brain Sciences 32 (2):140-141.
    Carruthers argues that an integrated faculty of metarepresentation evolved for mindreading and was later exapted for metacognition. A more consistent application of his approach would regard metarepresentation in mindreading with the same skeptical rigor, concluding that the “faculty” may have been entirely exapted. Given this result, the usefulness of Carruthers’ line-drawing exercise is called into question.
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  • Do we “acquire” culture or vice versa?Jerome Bruner - 1993 - Behavioral and Brain Sciences 16 (3):515-516.
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  • Not an alternative model for intentionality in vision.R. Brown, D. C. Earle & S. E. G. Lea - 1986 - Behavioral and Brain Sciences 9 (1):138-139.
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  • Linguistic function and linguistic evolution.George A. Broadwell - 1990 - Behavioral and Brain Sciences 13 (4):728-729.
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  • Cost–benefit models and the evolution of behavior.Jerram L. Brown - 1984 - Behavioral and Brain Sciences 7 (4):682-682.
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  • Representation and Self-Awareness in Intentional Agents.Ingar Brinck & Peter Gärdenfors - 1999 - Synthese 118 (1):89 - 104.
    Several conditions for being an intrinsically intentional agent are put forward. On a first level of intentionality the agent has representations. Two kinds are described: cued and detached. An agent with both kinds is able to represent both what is prompted by the context and what is absent from it. An intermediate level of intentionality is achieved by having an inner world, that is, a coherent system of detached representations that model the world. The inner world is used, e.g., for (...)
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  • Using behavior to explain behavior.Marc N. Branch - 1989 - Behavioral and Brain Sciences 12 (3):594-595.
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  • Social-emotional and auto-operational roots of cultural (peer) learning.Stein Braten - 1993 - Behavioral and Brain Sciences 16 (3):515-515.
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