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Evolution of Cognition

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  1. James R. Anderson (1995). Self-Recognition in Dolphins: Credible Cetaceans; Compromised Criteria, Controls, and Conclusions. Consciousness and Cognition 4 (2):239-243.
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  2. Michael Anderson, Projects.
    Description: The massive redeployment hypothesis (MRH) is a theory about the functional organization of the human cortex, offering a middle course between strict localization on the one hand, and holism on the other. Central to MRH is the claim that cognitive evolution proceeded in a way analogous to component reuse in software engineering, whereby existing components—originally developed to serve some specific purpose—were used for new purposes and combined to support new capacities, without disrupting their participation in existing programs.
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  3. Michael L. Anderson, Massive Redeployment and the Evolution of Cognition.
    Part of understanding the functional organization of the brain is understanding how it evolved. This talk presents evidence suggesting that while the brain may have originally emerged as an organ with functionally dedicated regions, the creative re-use of these regions has played a significant role in its evolutionary development. This would parallel the evolution of other capabilities wherein existing structures, evolved for other purposes, are re-used and built upon in the course of continuing evolutionary development (“exaptation”: Gould & Vrba 1982). (...)
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  4. Kristin Andrews, Confronting Language, Representation, and Belief: A Limited Defense of Mental Continuity.
    According to the mental continuity claim (MCC), human mental faculties are physical and beneficial to human survival, so they must have evolved gradually from ancestral forms and we should expect to see their precursors across species. Materialism of mind coupled with Darwin’s evolutionary theory leads directly to such claims and even today arguments for animal mental properties are often presented with the MCC as a premise. However, the MCC has been often challenged among contemporary scholars. It is usually argued that (...)
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  5. Anthony P. Atkinson & M. Wheeler (2004). The Grain of Domains: The Evolutionary-Psychological Case Against Domain-General Cognition. Mind and Language 19 (2):147-76.
    Prominent evolutionary psychologists have argued that our innate psychological endowment consists of numerous domainspecific cognitive resources, rather than a few domaingeneral ones. In the light of some conceptual clarification, we examine the central inprinciple arguments that evolutionary psychologists mount against domaingeneral cognition. We conclude (a) that the fundamental logic of Darwinism, as advanced within evolutionary psychology, does not entail that the innate mind consists exclusively, or even massively, of domainspecific features, and (b) that a mixed innate cognitive economy of domainspecific (...)
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  6. Anthony P. Atkinson & M. Wheeler (2003). Evolutionary Psychology's Grain Problem and the Cognitive Neuroscience of Reasoning. In David E. Over (ed.), Evolution and the Psychology of Thinking: The Debate. Psychology Press.
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  7. Scott Atran (2005). Adaptationism for Human Cognition: Strong, Spurious, or Weak? Mind and Language 20 (1):39-67.
    Strong adaptationists explore complex organic design as taskspecific adaptations to ancestral environments. This strategy seems best when there is evidence of homology. Weak adaptationists don't assume that complex organic (including cognitive and linguistic) functioning necessarily or primarily represents taskspecific adaptation. This approach to cognition resembles physicists' attempts to deductively explain the most facts with fewest hypotheses. For certain domainspecific competencies (folkbiology) strong adaptationism is useful but not necessary to research. With grouplevel belief systems (religion) strong adaptationism degenerates into spurious notions (...)
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  8. Sergio Balari & Guillermo Lorenzo (2008). Pere Alberch's Developmental Morphospaces and the Evolution of Cognition. Biological Theory 3 (4):297-304.
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  9. Anna M. Barrett, Anne L. Foundas & Kenneth M. Heilman (2005). Speech and Gesture Are Mediated by Independent Systems. Behavioral and Brain Sciences 28 (2):125-126.
    Arbib suggests that language emerged in direct relation to manual gestural communication, that Broca's area participates in producing and imitating gestures, and that emotional facial expressions contributed to gesture-language coevolution. We discuss functional and structural evidence supporting localization of the neuronal modules controlling limb praxis, speech and language, and emotional communication. Current evidence supports completely independent limb praxis and speech/language systems.
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  10. H. Clark Barrett, Evolved Cognitive Mechanisms and Human Behavior.
    In Crawford, C. & Krebs, D. (eds.) Foundations of evolutionary psychology: Ideas, issues, applications and findings. (2nd Ed.) Mahwah, NJ: Erlbaum Associates.
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  11. Lane Beckes & Jeffry A. Simpson (2009). Attachment, Reproduction, and Life History Trade-Offs: A Broader View of Human Mating. Behavioral and Brain Sciences 32 (1):23-24.
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  12. Christina Behme (2011). Language Universals. Philosophical Psychology 24 (6):867-871.
    Philosophical Psychology, Volume 0, Issue 0, Page 1-5, Ahead of Print.
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  13. Carl T. Bergstrom & Peter Godfrey-Smith (1998). On the Evolution of Behavioral Complexity in Individuals and Populations. Biology and Philosophy 13 (2):205-31.
    A wide range of ecological and evolutionary models predict variety in phenotype or behavior when a population is at equilibrium. This heterogeneity can be realized in different ways. For example, it can be realized through a complex population of individuals exhibiting different simple behaviors, or through a simple population of individuals exhibiting complex, varying behaviors. In some theoretical frameworks these different realizations are treated as equivalent, but natural selection distinguishes between these two alternatives in subtle ways. By investigating an increasingly (...)
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  14. Gregory S. Berns (2003). Neural Game Theory and the Search for Rational Agents in the Brain. Behavioral and Brain Sciences 26 (2):155-156.
    The advent of functional brain imaging has revolutionized the ability to understand the biological mechanisms underlying decision-making. Although it has been amply demonstrated that assumptions of rationality often break down in experimental games, there has not been an overarching theory of why this happens. I describe recent advances in functional brain imaging and suggest a framework for considering the function of the human reward system as a discrete agent.
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  15. Derek Bickerton (2005). Language First, Then Shared Intentionality, Then a Beneficent Spiral. Behavioral and Brain Sciences 28 (5):691-692.
    Tomasello et al. give a good account of how shared intentionality develops in children, but a much weaker one of how it might have evolved. They are unduly hasty in dismissing the emergence of language as a triggering factor. An alternative account is suggested in which language provided the spark, but thereafter language and shared intentionality coevolved.
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  16. Derek Bickerton (2002). Language in the Modular Mind? It’s a No-Brainer! Behavioral and Brain Sciences 25 (6):677-678.
    Although Carruthers’ proposals avoid some of the more obvious pitfalls that face analysts of the language-cognition relationship, they are needlessly complex and vitiated by his uncritical acceptance of a highly modular variety of evolutionary psychology. He pays insufficient attention both to the neural substrate of the processes he hypothesizes and to the evolutionary developments that gave rise to both language and human cognition.
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  17. Radu J. Bogdan (2003). Minding Minds: Evolving a Reflexive Mind by Interpreting Others. MIT Press.
    In this book, Radu Bogdan proposes that humans think reflexively because they interpret each other's minds in social contexts of cooperation, communication, ...
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  18. Conrado Bosman, Enzo Brunetti & Francisco Aboitiz (2004). Schizophrenia is a Disease of General Connectivity More Than a Specifically “Social Brain” Network. Behavioral and Brain Sciences 27 (6):856-856.
    Dysfunctions of the neural circuits that implement social behavior are necessary but not a sufficient condition to develop schizophrenia. We propose that schizophrenia represents a disease of general connectivity that impairs not only the “social brain” networks, but also different neural circuits related with higher cognitive and perceptual functions. We discuss possible mechanisms and evolutionary considerations.
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  19. Douglas C. Broadfield (2010). Grandparental Investment and the Epiphenomenon of Menopause in Recent Human History. Behavioral and Brain Sciences 33 (1):19-20.
  20. Derek Browne (2005). Book Review the Evolution of Cognition. Philosophy of Science 72 (3):489-491.
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  21. William Calvin, Filling the Empty Niches.
    When surveying the spectrum from pop psych to neurology in works addressed to general readers, one is struck by how few major figures there have been - certainly when cognitive neuro is compared to a far smaller field (1), evolutionary biology, where real literary talents like Loren Eiseley once flourished, where "media dons" like Richard Dawkins regularly clarify our thinking, where there are magnificent series like those of Stephen Jay Gould (fifteen major essays a year, plus scholarly books and research (...)
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  22. William H. Calvin (2004). A Brief History of the Mind: From Apes to Intellect and Beyond. Oxford University Press.
    This book looks back at the simpler versions of mental life in apes, Neanderthals, and our ancestors, back before our burst of creativity started 50,000 years...
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  23. Angelo Cangelosi, Alberto Greco & Stevan Harnad (2002). Symbol Grounding and the Symbolic Theft Hypothesis. In A. Cangelosi & D. Parisi (eds.), Simulating the Evolution of Language. Springer-Verlag.
    Scholars studying the origins and evolution of language are also interested in the general issue of the evolution of cognition. Language is not an isolated capability of the individual, but has intrinsic relationships with many other behavioral, cognitive, and social abilities. By understanding the mechanisms underlying the evolution of linguistic abilities, it is possible to understand the evolution of cognitive abilities. Cognitivism, one of the current approaches in psychology and cognitive science, proposes that symbol systems capture mental phenomena, and attributes (...)
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  24. Bin-Bin Chen & Dan Li (2009). Avoidant Strategy in Insecure Females. Behavioral and Brain Sciences 32 (1):25-26.
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  25. Dr Wayne Christensen (2010). The Decoupled Representation Theory of the Evolution of Cognition--A Critical Assessment. British Journal for the Philosophy of Science 61 (2):361-405.
    Sterelny’s Thought in a Hostile World ([ 2003 ]) presents a complex, systematically structured theory of the evolution of cognition centered on a concept of decoupled representation. Taking Godfrey-Smith’s ([ 1996 ]) analysis of the evolution of behavioral flexibility as a framework, the theory describes increasingly complex grades of representation beginning with simple detection and culminating with decoupled representation, said to be belief-like, and it characterizes selection forces that drive evolutionary transformations in these forms of representation. Sterelny’s ultimate explanatory target (...)
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  26. Colin W. G. Clifford & Gillian Rhodes (2005). Fitting the Mind to the World: Adaptation and After-Effects in High-Level Vision. OUP Oxford.
    Adaptation phenomena provide striking examples of perceptual plasticity and offer valuable insight into the mechanisms of visual coding. The technique of psychophysical adaptation has aptly been termed the psychologist's microelectrode because of its usefulness in investigating the coding of sensory information in the human brain. Its broader relevance though is illustrated by the increasing use of adaptation to study more cognitive aspects of vision such as the mechanisms of face perception and the neural substrates of visual awareness. -/- This book (...)
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  27. David A. Coall & Ralph Hertwig (2010). Grandparental Investment: Past, Present, and Future. Behavioral and Brain Sciences 33 (1):1-19.
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  28. David A. Coall & Ralph Hertwig (2010). Toward an Integrative Framework of Grandparental Investment. Behavioral and Brain Sciences 33 (1):40-59.
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  29. Paul Coates (2003). Review of Is the Visual World a Grand Illusion?. Human Nature Review 3:176-182.
    A cluster of experiments on “Change Blindness”, “Inattentional Blindness” and associated phenomena appear to demonstrate extremely counter intuitive results. According to one plausible characterisation, these results show that we consciously take in far less of the visual world than it seems we are aware of. It is worth briefly summarising the results of two recent sets of experiments, in order to give a flavour of this work. In ‘Gorillas in our Midst’ (Simons, D. and Chabris, C., Perception, 1999, 28), subjects (...)
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  30. Leda Cosmides & John Tooby (1994). Beyond Intuition and Instinct Blindness: Toward an Evolutionary Rigorous Cognitive Science. Cognition 50:41-77.
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  31. LucianoDa F. Costa (2001). Back to the Origins of Science. Brain and Mind 2 (2):227-228.
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  32. Geert Crombez & Chris Eccleston (2002). To Express or Suppress May Be Function of Others' Distress. Behavioral and Brain Sciences 25 (4):457-458.
    We argue that pain behaviour cannot be wholly accounted for within the operant model of Fordyce (1976). Many pain behaviours, including facial expression, are not socially reinforced but are evolutionarily predetermined. We urge researchers to take into consideration other learning accounts. Building on the idea that pain sufferers learn to suppress the expression of pain, we begin the development of a framework for a relational understanding of pain complaint.
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  33. Denise D. Cummins & Robert C. Cummins (2005). Innate Modules Vs Innate Learning Biases. Cognitive Processing.
    Proponents of the dominant paradigm in evolutionary psychology argue that a viable evolutionary cognitive psychology requires that specific cognitive capacities be heritable and “quasi-independent” from other heritable traits, and that these requirements are best satisfied by innate cognitive modules. We argue here that neither of these are required in order to describe and explain how evolution shaped the mind.
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  34. Denise D. Cummins & Robert C. Cummins (1999). Biological Preparedness and Evolutionary Explanation. Cognition 73 (3):B37-B53.
    It is commonly supposed that evolutionary explanations of cognitive phenomena involve the assumption that the capacities to be explained are both innate and modular. This is understandable: independent selection of a trait requires that it be both heritable and largely decoupled from other `nearby' traits. Cognitive capacities realized as innate modules would certainly satisfy these contraints. A viable evolutionary cognitive psychology, however, requires neither extreme nativism nor modularity, though it is consistent with both. In this paper, we seek to show (...)
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  35. Paul Sheldon Davies (1996). Preface: Evolutionary Theory in Cognitive Psychology. Minds and Machines 6 (4).
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  36. Wim De Neys (2009). Beyond Response Output: More Logical Than We Think. Behavioral and Brain Sciences 32 (1):87-88.
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  37. James A. Dixon, John G. Holden, Daniel Mirman & Damian G. Stephen (2012). Multifractal Dynamics in the Emergence of Cognitive Structure. Topics in Cognitive Science 4 (1):51-62.
    The complex-systems approach to cognitive science seeks to move beyond the formalism of information exchange and to situate cognition within the broader formalism of energy flow. Changes in cognitive performance exhibit a fractal (i.e., power-law) relationship between size and time scale. These fractal fluctuations reflect the flow of energy at all scales governing cognition. Information transfer, as traditionally understood in the cognitive sciences, may be a subset of this multiscale energy flow. The cognitive system exhibits not just a single power-law (...)
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  38. Stephen M. Downes (2002). Some Recent Developments in Evolutionary Approaches to the Study of Human Cognition and Behavior. Biology and Philosophy 16 (5):575-94.
    In this paper I review some theoretical exchanges and empiricalresults from recent work on human behavior and cognition in thehope of indicating some productive avenues for critical engagement.I focus particular attention on methodological debates between Evolutionary Psychologists and behavioral ecologists. I argue for a broader and more encompassing approach to the evolutionarily based study of human behavior and cognition than either of these two rivals present.
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  39. Catherine Driscoll (2004). Can Behaviors Be Adaptations? Philosophy of Science 71 (1):16-35.
    Kim Sterelny and Paul Griffiths (Sterelny 1992, Sterelny and Griffiths 1999) have argued that sociobiology is unworkable because it requires that human behaviors can be adaptations; however, behaviors produced by a functionalist psychology do not meet Lewontin's quasi-independence criterion and therefore cannot be adaptations. Consequently, an evolutionary psychologywhich regards psychological mechanisms as adaptationsshould replace sociobiology. I address two interpretations of their argument. I argue that the strong interpretation fails because functionalist psychology need not prevent behaviors from evolving independently, and it (...)
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  40. Russil Durrant & Brian D. Haig (2001). How to Pursue the Adaptationist Program in Psychology. Philosophical Psychology 14 (4):357 – 380.
    In recent times evolutionary psychologists have offered adaptation explanations for a wide range of human psychological characteristics. Critics, however, have argued that such endeavors are problematic because the appropriate evidence required to demonstrate adaptation is unlikely to be forthcoming, therefore severely limiting the role of the adaptationist program in psychology. More specifically, doubts have been raised over both the methodology employed by evolutionary psychologists for studying adaptations and about the possibility of ever developing acceptably rigorous evolutionary explanations of human psychological (...)
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  41. Bruce Edmonds, When and Why Does Haggling Occur?
    We present a computational simulation which captures aspects of negotiation as the interaction of agents searching for an agreement over their own mental model. Specifically this simulation relates the beliefs of each agent about the action of cause and effect to the resulting negotiation dialogue. The model highlights the difference between negotiating to find any solution and negotiating to obtain the best solution from the point of view of each agent. The later case corresponds most closely to what is commonly (...)
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  42. Christina E. Erneling & D. Johnson (2005). Mind As a Scientific Object. Oxford University Press.
  43. Jonathan St B. T. Evans (2009). Does Rational Analysis Stand Up to Rational Analysis? Behavioral and Brain Sciences 32 (1):88-89.
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  44. Jonathan St B. T. Evans & David E. Over (2002). The Role of Language in the Dual Process Theory of Thinking. Behavioral and Brain Sciences 25 (6):684-685.
    Carruthers’proposals would seem to implicate language in what is known as System 2 thinking (explicit) rather than System 1 thinking (implicit) in contemporary dual process theories of thinking and reasoning. We provide outline description of these theories and show that while Carruthers’characterization of non-verbal processes as domain-specific identifies one critical feature of System 1 thinking, he appears to overlook the fact that much cognition of this type results from domain-general learning processes. We also review cognitive psychological evidence that shows that (...)
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  45. Edmund Fantino & Stephanie Stolarz-Fantino (2010). Grandparental Altruism: Expanding the Sense of Cause and Effect. Behavioral and Brain Sciences 33 (1):22-23.
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  46. Aurelio José Figueredo, Jon A. Sefcek & Sally G. Olderbak (2009). Attachment and Life History Strategy. Behavioral and Brain Sciences 32 (1):26-27.
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  47. Keith Frankish, Evolving the Linguistic Mind∗.
    There has been growing interest recently in the so-called cognitive conception of language – the idea that some human thought processes constitutively involve the representational resources of the language faculty – or, more colloquially, that we can think in natural language. This view is, I think, very attractive: there are theoretical reasons for endorsing it and introspection supports it, too. However, I shall not be defending the cognitive conception here. Instead, I shall be asking how a language-based cognitive system – (...)
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  48. Ben Fraser (forthcoming). False Advertising in Biological Markets: Partner Choice and the Problem of Reliability. In K. Sterelny, R. Joyce, B. Calcott & B. Fraser (eds.), Evolution, Cooperation, and Complexity. MIT Press.
    The partner choice approach to understanding the evolution of cooperation builds on approaches that focus on partner control by considering processes that occur prior to pair or group formation. Proponents of the partner choice approach rightly note that competition to be chosen as a partner can help solve the puzzle of cooperation. I aim to build on the partner choice approach by considering the role of signalling in partner choice. Partnership formation often requires reliable information. Signalling is thus important in (...)
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  49. Debra Friedman & Michael Hechter (2010). Motivating Grandparental Investment. Behavioral and Brain Sciences 33 (1):24-25.
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  50. Shaun Gallagher, Movement and Expression in the Development of Social Cognition.
    What kind of movement or behavior is involved in neonate imitation? What exactly is the newborn infant doing when it responds to seeing gestures on another person's face? This question is closely related to some other questions, such as whether neonate imitation is possible, and whether it is truly imitation. Piaget, of course, thought that this sort of "invisible imitation" was not possible for infants less than 8-12 months of age.
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  51. Shaun Gallagher (2008). Inference or Interaction: Social Cognition Without Precursors. Philosophical Explorations 11 (3):163 – 174.
    In this paper I defend interaction theory (IT) as an alternative to both theory theory (TT) and simulation theory (ST). IT opposes the basic suppositions that both TT and ST depend upon. I argue that the various capacities for primary and secondary intersubjectivity found in infancy and early childhood should not be thought of as precursors to later developing capacities for using folk psychology or simulation routines. They are not replaced or displaced by such capacities in adulthood, but rather continue (...)
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  52. Michael S. Gazzaniga (2004). The Cognitive Neurosciences III. MIT Press.
    "The Cognitive Neurosciences III is a magnificent accomplishment. It covers topics trom ions to consciousness, from reflexes to social psychology. ...
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  53. Jacques Gervet, Alain Gallo, Raphael Chalmeau & Muriel Soleilhavoup (1996). Some Prerequisites for a Study of the Evolution of Cognition in the Animal Kingdom. Acta Biotheoretica 44 (1).
    A distinction is made between two definitions of animal cognition: the one most frequently employed in cognitive sciences considers cognition as extracting and processing information; a more phenomenologically inspired model considers it as attributing to a form of the outside world a significance, linked to the state of the animal. The respective fields of validity of these two models are discussed along with the limitations they entail, and the questions they pose to evolutionary biologists are emphasized. This is followed by (...)
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  54. Marco Giudicdele (2009). Human Reproductive Strategies: An Emerging Synthesis? Behavioral and Brain Sciences 32 (1):45-67.
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  55. Peter Godfrey-Smith (2002). Environmental Complexity and the Evolution of Cognition. In Robert J. Sternberg & J. Kaufman (eds.), The Evolution of Intelligence. Lawrence Erlbaum.
    One problem faced in discussions of the evolution of intelligence is the need to get a precise fix on what is to be explained. Terms like "intelligence," "cognition" and "mind" do not have simple and agreed-upon meanings, and the differences between conceptions of intelligence have consequences for evolutionary explanation. I hope the papers in this volume will enable us to make progress on this problem. The present contribution is mostly focused on these basic and foundational issues, although the last section (...)
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  56. Peter Godfrey-Smith (2002). On the Evolution of Representational and Interpretive Capacities. The Monist 85 (1):50-69.
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  57. Peter Godfrey-Smith (1996). Complexity and the Function of Mind in Nature. Cambridge University Press.
    This book explains the relationship between intelligence and environmental complexity, and in so doing links philosophy of mind to more general issues about the relations between organisms and environments, and to the general pattern of 'externalist' explanations. The author provides a biological approach to the investigation of mind and cognition in nature. In particular he explores the idea that the function of cognition is to enable agents to deal with environmental complexity. The history of the idea in the work of (...)
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  58. Mark Greenberg (2004). Goals Versus Memes: Explanation in the Theory of Cultural Evolution. In Susan L. Hurley & Nick Chater (eds.), Perspectives on Imitation. MIT Press.
    Darwinian theories of culture need to show that they improve upon the commonsense view that cultural change is explained by humans? skillful pursuit of their conscious goals. In order for meme theory to pull its weight, it is not enough to show that the development and spread of an idea is, broadly speaking, Darwinian, in the sense that it proceeds by the accumulation of change through the differential survival and transmission of varying elements. It could still be the case that (...)
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  59. Raymond Hames (2010). Grandparental Transfers and Kin Selection. Behavioral and Brain Sciences 33 (1):26-27.
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  60. Valerie Gray Hardcastle (1999). Where Biology Meets Psychology: Philosophical Essays. MIT Press.
    This book is perhaps the first to open a dialogue between the two disciplines.
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  61. Marc D. Hauser & Elizabeth Spelke (2004). Evolutionary and Developmental Foundations of Human Knowledge. In Michael S. Gazzaniga (ed.), The Cognitive Neurosciences Iii. Mit Press.
    What are the brain and cognitive systems that allow humans to play baseball, compute square roots, cook soufflés, or navigate the Tokyo subways? It may seem that studies of human infants and of non-human animals will tell us little about these abilities, because only educated, enculturated human adults engage in organized games, formal mathematics, gourmet cooking, or map-reading. In this chapter, we argue against this seemingly sensible conclusion. When human adults exhibit complex, uniquely human, culture-specific skills, they draw on a (...)
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  62. Thomas T. Hills (2011). The Evolutionary Origins of Cognitive Control. Topics in Cognitive Science 3 (2):231-237.
    The question of domain-specific versus domain-general processing is an ongoing source of inquiry surrounding cognitive control. Using a comparative evolutionary approach, Stout (2010) proposed two components of cognitive control: coordinating hierarchical action plans and social cognition. This article reports additional molecular and experimental evidence supporting a domain-general attentional process coordinating hierarchical action plans, with the earliest such control processing originating in the capacity of dynamic foraging behaviors—predating the vertebrate-invertebrate divergence (c. 700 million years ago). Further discussion addresses evidence required for (...)
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  63. Douglas L. Hintzman (2008). Recursive Reminding and Children's Concepts of Number. Behavioral and Brain Sciences 31 (6):656-657.
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  64. Christopher Hitchcock (2004). Contemporary Debates in Philosophy of Science. Blackwell Pub..
    Showcasing original arguments for well-defined positions, as well as clear and concise statements of sophisticated philosophical views, this volume is an ...
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  65. Christiane A. Hoppmann & Petra L. Klumb (2010). Grandparental Investment Facilitates Harmonization of Work and Family in Employed Parents: A Lifespan Psychological Perspective. Behavioral and Brain Sciences 33 (1):27-28.
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  66. Horacio Fabrega Jr (2005). Biological Evolution of Cognition and Culture: Off Arbib's Mirror-Neuron System Stage? Behavioral and Brain Sciences 28 (2):131-132.
    Arbib offers a comprehensive, elegant formulation of brain/language evolution; with significant implications for social as well as biological sciences. Important psychological antecedents and later correlates are presupposed; their conceptual enrichment through protosign and protospeech is abbreviated in favor of practical communication. What culture “is” and whether protosign and protospeech involve a protoculture are not considered. Arbib also avoids dealing with the question of evolution of mind, consciousness, and self.
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  67. Brad R. Huber (2010). Continuity Between Pre- and Post-Demographic Transition Populations with Respect to Grandparental Investment. Behavioral and Brain Sciences 33 (1):28-29.
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  68. N. Humphrey (2003). The Inner Eye: Social Intelligence in Evolution. Oxford University Press.
    Easy to read, adorned with Mel Calman's brilliant illustrations, passionately argued, yet never less than scientifically profound, this book remains the...
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  69. N. Humphrey (2003). The Mind Made Flesh: Essays From the Frontiers of Psychology and Evolution. Oxford University Press.
    Nicholas Humphrey's writings about the evolution of the mind have done much to set the agenda for contemporary psychology.
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  70. Susan L. Hurley & Nick Chater (2004). Perspectives on Imitation. MIT Press.
    These volumes provide a resource that makes this research accessible across disciplines and clarifies its importance for the social sciences and philosophy as ...
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  71. David Martel Johnson (1988). Brutes Believe Not. Philosophical Psychology 1 (3):279-294.
    Abstract Is it plausible to claim (some) non?human animals have beliefs, on the (non?behaviourist) assumption that believing is or involves subjects? engaging in practical reasoning which takes account of meanings? Some answer Yes, on the ground that evolutionary continuities linking humans with other animals must include psychological ones. But (1) evolution does not operate?even primarily?by means of continuities. Thus species, no matter how closely related (in fact, sometimes even conspecifics) operate with very different adaptive ?tricks'; and it is plausible to (...)
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  72. Min Ju Kang & Michael Glassman (2009). Attachment Patterns of Homeless Youth: Choices of Stress and Confusion. Behavioral and Brain Sciences 32 (1):32-33.
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  73. Jonas T. Kaplan & Marco Iacoboni (2005). Listen to My Actions! Behavioral and Brain Sciences 28 (2):135-136.
    We believe that an account of the role of mirror neurons in language evolution should involve a greater emphasis on the auditory properties of these neurons. Mirror neurons in premotor cortex which respond to the visual and auditory consequences of actions allow for a modality-independent and agent-independent coding of actions, which may have been important for the emergence of language.
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  74. Ralf Kaptijn & Fleur Thomese (2010). Fitness Effects of Grandparental Investments in Contemporary Low-Risk Societies. Behavioral and Brain Sciences 33 (1):29-30.
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  75. Frank Keil, Derek E Lyons, Laurie R Santos and Frank C Keil.
    uniquely human ability. We are thus left with a fascinating question: if not imitation, what are mirror neurons for? Recent..
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  76. Spencer D. Kelly (2003). From Past to Present: Speech, Gesture, and Brain in Present-Day Human Communication. Behavioral and Brain Sciences 26 (2):230-231.
    This commentary presents indirect support for Corballis's claim that language evolved out of a gestural system in our evolutionary past. Specifically, it presents behavioral and neurological evidence that present-day speech and gesture continue to be tightly integrated in language production and comprehension.
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  77. Kathryn A. Kerns (2009). Developmental Transformations in Attachment in Middle Childhood. Behavioral and Brain Sciences 32 (1):33-34.
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  78. Daniel J. Kruger (2009). Life History as an Integrative Theoretical Framework Advancing the Understanding of the Attachment System. Behavioral and Brain Sciences 32 (1):34-35.
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  79. E. Kubinyi, P. Pongracz & A. Miklosi (2010). Can You Kill a Robot Nanny?: Ethological Approach to the Effect of Robot Caregivers on Child Development and Human Evolution. Interaction Studies 11 (2):214-219.
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  80. David A. Leavens (2003). Integration of Visual and Vocal Communication: Evidence for Miocene Origins. Behavioral and Brain Sciences 26 (2):232-233.
    Corballis suggests that apes lack voluntary control over their vocal production. However, recent evidence implicates voluntary control of vocalizations in apes, which suggests that intentional control of vocal communication predates the hominid-pongid split. Furthermore, the ease with which apes in captivity manipulate the visual attention of observers implies a common cognitive basis for joint attention in humans and apes.
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  81. Andrew J. Lewis & Gregory Tooley (2009). Disorganized Attachment and Reproductive Strategies. Behavioral and Brain Sciences 32 (1):35-36.
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  82. J. D. Logan (1898). Psychology and the Argument From Design. Philosophical Review 7 (6):604-614.
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  83. Albert Low (2005). What is Consciousness and has It Evolved? World Futures 61 (3):199 – 227.
    Research into consciousness has now become respectable, and much has been written about it. Is consciousness the exclusive property of human beings, or can it be found also in animals? Can machines become conscious? Is consciousness an illusion, and are all mental states ultimately reducible to the movement of molecules? If consciousness is other than matter, what connection does it have with matter? These and others like them are now serious scientific questions in the West. This article discusses consciousness within (...)
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  84. David Loye (2002). The Moral Brain. Brain and Mind 3 (1):133-150.
    This article probes the evolutionary origins ofmoral capacities and moral agency. From thisit develops a theory of the guidancesystem of higher mind (GSHM). The GSHM is ageneral model of intelligence whereby moralfunctioning is integrated with cognitive,affective, and conative functioning, resultingin a flow of information between eight brainlevels functioning as an evaluative unitbetween stimulus and response.The foundation of this view of morality and ofcaring behavior is Charles Darwin's theory,largely ignored until recently, of thegrounding of morality in sexual instincts whichlater expand into (...)
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  85. Robert Lurz (2009). If Chimpanzees Are Mindreaders, Could Behavioral Science Tell? Toward a Solution of the Logical Problem. Philosophical Psychology 22 (3):305-328.
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  86. Robert W. Lurz & Carla Krachun (2011). How Could We Know Whether Nonhuman Primates Understand Others' Internal Goals and Intentions? Solving Povinelli's Problem. Review of Philosophy and Psychology 2 (3):449-481.
    A persistent methodological problem in primate social cognition research has been how to determine experimentally whether primates represent the internal goals of other agents or just the external goals of their actions. This is an instance of Daniel Povinelli’s more general challenge that no experimental protocol currently used in the field is capable of distinguishing genuine mindreading animals from their complementary behavior-reading counterparts. We argue that current methods used to test for internal-goal attribution in primates do not solve Povinelli’s problem. (...)
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  87. Edouard Machery (2006). Essay Review: Debunking Adapting Minds. Philosophy of Science 73 (2):232-246.
    David Buller’s recent book, Adapting Minds, is a philosophical critique of the field of evolutionary psychology. Buller argues that evolutionary psychology is utterly bankrupt from both a theoretical and an empirical point of view. Although Adapting Minds has been well received in both the academic press and the popular media, we argue that Buller’s critique of evolutionary psychology fails.
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  88. Edouard Machery & H. Clark Barrett (2006). Debunking Adapting Minds. Philosophy of Science 73.
    David Buller’s recent book, _Adapting Minds_, is a philosophical critique of the field of evolutionary psychology. Buller argues that evolutionary psychology is utterly bankrupt from both a theoretical and an empirical point of view. Although _Adapting Minds _has been well received in both the academic press and the popular media, we argue that Buller’s critique of evolutionary psychology fails.
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  89. Dario Maestripieri (2009). The Contribution of Comparative Research to the Development and Testing of Life History Models of Human Attachment and Reproductive Strategies. Behavioral and Brain Sciences 32 (1):37-38.
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  90. Matteo Mameli (2002). Mindreading, Mindshaping, and Evolution. Biology and Philosophy 16 (5):595-626.
    I present and apply some powerful tools for studying human evolution and the impact of cultural resources on it. The tools in question are a theory of niche construction and a theory about the evolutionary significance of extragenetic (and, in particular, of psychological and social) inheritance. These tools are used to show how culturally transmitted resources can be recruited by development and become generatively entrenched. The case study is constituted by those culturally transmitted items that social psychologists call ‘expectancies’. Expectancy (...)
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  91. Antonio Martins-Mourao & Annette Karmiloff-Smith (2008). Specific and General Underpinnings to Number; Parallel Development. Behavioral and Brain Sciences 31 (6):661-661.
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  92. Kelby Mason, Chandra Sripada & Stephen P. Stich (forthcoming). The Philosophy of Psychology. In Dermot Moran (ed.), The Routledge Companion to Twentieth-Century Philosophy. Routledge.
    The 20th century has been a tumultuous time in psychology – a century in which the discipline struggled with basic questions about its intellectual identity, but nonetheless managed to achieve spectacular growth and maturation. It’s not surprising, then, that psychology has attracted sustained philosophical attention and stimulated rich philosophical debate. Some of this debate was aimed at understanding, and sometimes criticizing, the assumptions, concepts and explanatory strategies prevailing in the psychology of the time. But much philosophical work has also been (...)
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  93. Richard L. Michalski (2010). Measures of Grandparental Investment as a Limiting Factor in Theoretical and Empirical Advancement. Behavioral and Brain Sciences 33 (1):32-33.
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  94. Ruth G. Millikan (1997). On Cognitive Luck: Externalism in an Evolutionary Frame. In P. Machamer & M. Carrier (eds.), Mindscapes: Philosophy, Science, and the Mind. Pittsburgh University Press and Universtaetsverlag Konstanz.
    Steven Pinker (1995) chides the educated layman for imagining Darwin's theory to go this way (the vertical lines are "begats"): [Figure #1] Pinker says, "evolution did not make a ladder; it made a bush" (p. 343), and he gives us the following diagrams instead, showing how it went, in increasing detail, down to us.
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  95. Chris J. Mitchell, Jan De Houwer & Peter F. Lovibond (2009). Link-Based Learning Theory Creates More Problems Than It Solves. Behavioral and Brain Sciences 32 (2):230-246.
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  96. Bradley J. Morris & Amy M. Masnick (2008). Making Numbers Out of Magnitudes. Behavioral and Brain Sciences 31 (6):662-663.
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  97. Kevin Muldoon, Charlie Lewis & Norman Freeman (2008). Don't Throw the Baby Out with the Math Water: Why Discounting the Developmental Foundations of Early Numeracy is Premature and Unnecessary. Behavioral and Brain Sciences 31 (6):663-664.
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  98. S. Okasha (2003). Fodor on Cognition, Modularity, and Adaptationism. Philosophy of Science 70 (1):68-88.
    This paper critically examines Jerry Fodor's latest attacks on evolutionary psychology. Contra Leda Cosmides and John Tooby, Fodor argues (i) there is no reason to think that human cognition is a Darwinian adaptation in the first place, and (ii) there is no valid inference from adaptationism about the mind to massive modularity. However, Fodor maintains (iii) that there is a valid inference in the converse direction, from modularity to adaptationism, but (iv) that the language module is an exception to the (...)
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  99. John E. Opfer & Leonidas A. A. Doumas (2008). Analogy and Conceptual Change in Childhood. Behavioral and Brain Sciences 31 (6):723-723.
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  100. David E. Over (2003). Evolution and the Psychology of Thinking: The Debate. Psychology Press.
    In this collection, leading experts evaluate the status of this controversial field, providing a critical analysis of its main hypotheses These hypotheses have ...
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