Results for ' evolution of intelligence'

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  1. Evolution of intelligence, language, and other emergent processes for consciousness: A comparative perspective.Joseph E. King, Duane M. Rumbaugh & E. S. Savage-Rumbaugh - 1998 - In Stuart R. Hameroff, Alfred W. Kaszniak & Alwyn Scott (eds.), Toward a Science of Consciousness II: The Second Tucson Discussions and Debates. MIT Press.
     
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  2.  47
    Evolution of Intelligence and the Human Fifth Dimension.Shing Yiu Yip - 2013 - World Futures 69 (1):29 - 44.
    ?Information? has been postulated by the Daoist theory of Qi-energy fields system to be encoded and inherent in the Qi-energy complex (Qi) since the beginning of time. This became the origin of intelligence when it was passed onto humankind. This abstract entity is extended as a concept of ?quantum information/intelligence? (QI) when correlated with quantum physics. Human psychic power, spread over interconnected biological to cosmic spatial fields, would constitute a new Fifth Dimension, woven into the fabric of space (...)
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  3.  44
    The Evolution of Intelligence.Robert J. Sternberg & James C. Kaufman (eds.) - 2001 - Lawrence Erlbaum.
    This book is unique in offering a diversity of points of view on the topic of the evolution of human intelligence.
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  4.  26
    34 Evolution of Intelligence, Language, and Other Emergent Processes for Consciousness: A Comparative Perspective James E. King, Duane M. Rumbaugh, and. [REVIEW]E. Sue Savage-Rumbaugh - 1998 - In Stuart R. Hameroff, Alfred W. Kaszniak & Alwyn Scott (eds.), Toward a Science of Consciousness II: The Second Tucson Discussions and Debates. MIT Press. pp. 2--383.
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  5.  15
    The evolution of intelligence: making assumptions explicit and hypotheses testable.J. Kitahara-Frisch - 1979 - Behavioral and Brain Sciences 2 (3):390-391.
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  6.  16
    The evolution of intelligence: rehabilitation of recapitulation?Jan Wind - 1979 - Behavioral and Brain Sciences 2 (3):398-399.
  7.  27
    "The Evolution of Intelligence: A General Theory and Some of Its Implications," by David Stenhouse. [REVIEW]Richard J. Blackwell - 1976 - Modern Schoolman 53 (2):229-229.
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  8.  17
    Recapitulationism, Piaget, and the evolution of intelligence: déjà vu.Charles J. Brainerd - 1979 - Behavioral and Brain Sciences 2 (3):381-382.
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  9.  97
    Anthropocentrism, and the evolution of 'intelligence'.Beth Preston - 1991 - Minds and Machines 1 (3):259-277.
    Intuitive conceptions guide practice, but practice reciprocally reshapes intuition. The intuitive conception of intelligence in AI was originally highly anthropocentric. However, the internal dynamics of AI research have resulted in a divergence from anthropocentric concerns. In particular, the increasing emphasis on commonsense knowledge and peripheral intelligence (perception and movement) in effect constitutes an incipient reorientation of intuitions about the nature of intelligence in a non-anthropocentric direction. I argue that this conceptual shift undermines Joseph Weizenbaum's claim that the (...)
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  10.  30
    The Ascent of Mind: Ice Age Climates and the Evolution of Intelligence.William H. Calvin - 1991 - Bantam Books.
    Investigates the rapid evolution of the ape brain into the hominid brain, and explains why understanding our evolutionary past can help us survive an uncertain future.
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  11.  67
    The evolution of general intelligence.Judith M. Burkart, Michèle N. Schubiger & Carel P. van Schaik - 2017 - Behavioral and Brain Sciences 40.
    The presence of general intelligence poses a major evolutionary puzzle, which has led to increased interest in its presence in nonhuman animals. The aim of this review is to critically evaluate this question and to explore the implications for current theories about the evolution of cognition. We first review domain-general and domain-specific accounts of human cognition in order to situate attempts to identify general intelligence in nonhuman animals. Recent studies are consistent with the presence of general (...) in mammals. However, the interpretation of a psychometricgfactor as general intelligence needs to be validated, in particular in primates, and we propose a range of such tests. We then evaluate the implications of general intelligence in nonhuman animals for current theories about its evolution and find support for the cultural intelligence approach, which stresses the critical importance of social inputs during the ontogenetic construction of survival-relevant skills. The presence of general intelligence in nonhumans implies that modular abilities can arise in two ways, primarily through automatic development with fixed content and secondarily through learning and automatization with more variable content. The currently best-supported model, for humans and nonhuman vertebrates alike, thus construes the mind as a mix of skills based on primary and secondary modules. The relative importance of these two components is expected to vary widely among species, and we formulate tests to quantify their strength. (shrink)
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  12. Evolution of Human Intelligence toward an Optimum.K. L. Senarath Dayathilake - 1997 - Psyarxiv.Com.
    Here, I discuss how natural biological evolution might have selected human origin and the psychology of the better mind-brain. However, all humans are closely related; why do we make crimes, war, hate, and jealousy their primary reasons and overcoming methodologies? How can they gain their best happiness? What kind of philosophy apply to annalize this big question and convince humankind to evolve their mind? How we could achieve our optimum potential happiness by developing hidden intelligence to make the (...)
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  13.  21
    Hierarchy, multidomain modules, and the evolution of intelligence.Mauricio de Jesus Dias Martins & Laura Desirèe Di Paolo - 2017 - Behavioral and Brain Sciences 40.
    In this commentary, we support a complex, mosaic, and multimodal approach to the evolution of intelligence. Using the arcuate fasciculus as an example of discontinuity in the evolution of neurobiological architectures, we argue that the strict dichotomy of modules versus G, adopted by Burkart et al. in the target article, is insufficient to interpret the available statistical and experimental evidence.
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  14.  15
    Panselectionist pitfalls in Parker & Gibson's model for the evolution of intelligence.Stephen Jay Gould - 1979 - Behavioral and Brain Sciences 2 (3):385-386.
  15.  65
    A complete theory of human evolution of intelligence must consider stage changes.Michael Lamport Commons & Patrice Marie Miller - 2002 - Behavioral and Brain Sciences 25 (3):404-405.
    We show 13 stages of the development of tool-use and tool making during different eras in the evolution of Homo sapiens. We used the NeoPiagetian Model of Hierarchical Complexity rather than Piaget's. We distinguished the use of existing methods imitated or learned from others, from doing such a task on one's own.
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  16. The evolution of animal intelligence.John Maynard Smith - 1984 - In Christopher Hookway (ed.), Minds, Machines, and Evolution: Philosophical Studies. Cambridge University Press.
     
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  17. Machiavellian Intelligence: Social Expertise and the Evolution of Intellect in Monkeys, Apes, and Humans.Richard W. Byrne & Andrew Whiten (eds.) - 1988 - Oxford University Press.
    This book presents an alternative to conventional ideas about the evolution of the human intellect.
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  18.  12
    Reconstruction of the Parker/Gibson “model” for the evolution of intelligence.William Orr Dingwall - 1979 - Behavioral and Brain Sciences 2 (3):383-384.
  19.  28
    The evolution of fluid intelligence meets formative g.Kristof Kovacs & Andrew R. A. Conway - 2017 - Behavioral and Brain Sciences 40.
  20. The search for criteria: why study the evolution of intelligence.Robert J. Sternberg - 2002 - In Robert J. Sternberg & J. Kaufman (eds.), The Evolution of Intelligence. Lawrence Erlbaum. pp. 1--8.
  21. Evolution an act of intelligence.The Editor The Editor - 1924 - Pacific Philosophical Quarterly 5 (4):238.
  22.  21
    The evolution of general intelligence in all animals and machines.Kay E. Holekamp & Risto Miikkulainen - 2017 - Behavioral and Brain Sciences 40.
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  23. The evolution of animal 'cultures' and social intelligence.Andrew Whiten & Van Schaik & P. Carel - 2007 - In Nathan Emery, Nicola Clayton & Chris Frith (eds.), Social Intelligence: From Brain to Culture. Oxford University Press.
  24.  22
    Contemporary evolutionary psychology and the evolution of intelligence.David M. G. Lewis, Laith Al-Shawaf & Mike Anderson - 2017 - Behavioral and Brain Sciences 40.
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  25.  14
    Graphic skills, posture, and the evolution of intelligence.Liliane Lurçat - 1979 - Behavioral and Brain Sciences 2 (3):392-393.
  26. Evolution of Avian Intelligence, With an Emphasis on Grey Parrots.Irene M. Pepperberg - 2002 - In Robert J. Sternberg & J. Kaufman (eds.), The Evolution of Intelligence. Lawrence Erlbaum. pp. 315.
     
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  27.  8
    Evolution of artificial intelligence.Lee Spector - 2006 - Artificial Intelligence 170 (18):1251-1253.
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  28.  10
    Secular Slowing of Auditory Simple Reaction Time in Sweden.Guy Madison, Michael A. Woodley of Menie & Justus Sänger - 2016 - Frontiers in Human Neuroscience 10:190223.
    There are indications that simple reaction time might have slowed in Western countries, based on both cohort- and multi-study comparisons. A possible limitation of the latter method in particular is measurement error stemming from methods variance, which results from the fact that instruments and experimental conditions change over time and between studies. We therefore set out to measure the simple auditory reaction time (SRT) of 7,081 individuals (2,997 males and 4,084 females) born in Sweden 1959-1985 (subjects were aged between 27 (...)
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  29.  15
    The Evolution of Agency and Other Essays.Peter Godfrey-Smith - 2000 - Cambridge University Press.
    This book presents a collection of linked essays written by one of the leading philosophers of biology, Kim Sterelny, on the topic of biological evolution. The first half of the book explores most of the main theoretical controversies about evolution and selection. Sterelny argues that genes are not the only replicators: non-genetic inheritance is also extremely important, and is no mere epiphenomenon of gene selection. The second half of the book applies some of these ideas in considering cognitive (...)
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  30. Community networks and the evolution of civic intelligence.Douglas Schuler - 2010 - AI and Society 25 (3):291-307.
    Although the intrinsic physicality of human beings has not changed in millennia, the species has managed to profoundly reconstitute the physical and social world it inhabits. Although the word “profound” is insufficient to describe the vast changes our world has undergone, it is sufficiently neutral to encompass both the opportunities—and the challenges—that our age provides. It is a premise of my work that technology, particularly information and communication technology (ICT), offers spectacular opportunities for humankind to address its collective problems. The (...)
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  31. Self-awareness and the evolution of social intelligence.G. G. Gallup - 1998 - Behavioural Processes 42:239-247.
  32.  81
    An evolutionary interpretation of intelligence, creativity, and wisdom: A link between the evolution of organisms and the evolution of ideas.Robert J. Sternberg - 2000 - Behavioral and Brain Sciences 23 (1):160-161.
    I show that there is a link between the evolution of organisms and the evolution of ideas. In particular, if conformity is selected for, then mechanisms are needed so that “mutations” of ideas can occur. Creativity acts as a counter-force to conventional intelligence, so that ideas can develop that do not just elaborate existing paradigms, but oppose these paradigms. Sometimes oppositional ideas go too far, however, and wisdom acts as a force to bring the old and the (...)
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  33.  25
    P eter G odfrey -S mith, Other Minds: The Octopus and the Evolution of Intelligent Life, London: William Collins, 2017, x + 255 pp., £20.00 , ISBN 978-0-00-822627-5. [REVIEW]Flavia Fabris - 2018 - History and Philosophy of the Life Sciences 40 (3):58.
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  34. The Evolution of Psychological Intelligence[REVIEW]Ben A. Williams - 1985 - Behavior and Philosophy 13 (2):183.
  35. Adaptive Specializations, Social Exchange, and the Evolution of Human Intelligence.Leda Cosmides, H. Clark Barrett & John Tooby - 2010 - Proceedings of the National Academy of Sciences 107 (Supplement 2):9007--9014.
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  36.  53
    A developmental model for the evolution of language and intelligence in early hominids.Sue Taylor Parker & Kathleen Rita Gibson - 1979 - Behavioral and Brain Sciences 2 (3):367-381.
  37. Civic Intelligence and the Evolution of Community Networks.D. Schuler - 2010 - AI and Society 25 (3).
  38.  58
    Modeling the Evolution of Legal Discretion. An Artificial Intelligence Approach.Ruth Kannai, Uri Schild & John Zeleznikow - 2007 - Ratio Juris 20 (4):530-558.
    Much legal research focuses on understanding how judicial decision-makers exercise their discretion. In this paper we examine the notion of legal or judicial discretion, and weaker and stronger forms of discretion. At all times our goal is to build cognitive models of the exercise of discretion, with a view to building computer software to model and primarily support decision-making. We observe that discretionary decision-making can best be modeled using three independent axes: bounded and unbounded, defined and undefined, and binary and (...)
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  39.  20
    Theory of evolution of an intelligent ecosystem.Joseph C. Kondylakis - 1997 - Acta Biotheoretica 45 (2):181-182.
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  40. The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI.Fernando Martínez-Plumed, Bao Sheng Loe, Peter Flach, Sean O. O. HEigeartaigh, Karina Vold & José Hernández-Orallo - 2018 - In Fernando Martínez-Plumed, Bao Sheng Loe, Peter Flach, Sean O. O. HEigeartaigh, Karina Vold & José Hernández-Orallo (eds.), Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence Evolution of the contours of AI. pp. 5180-5187.
    We present nine facets for the analysis of the past and future evolution of AI. Each facet has also a set of edges that can summarise different trends and contours in AI. With them, we first conduct a quantitative analysis using the information from two decades of AAAI/IJCAI conferences and around 50 years of documents from AI topics, an official database from the AAAI, illustrated by several plots. We then perform a qualitative analysis using the facets and edges, locating (...)
     
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  41.  35
    Instinct and intelligence in British natural theology: Some contributions to Darwin's theory of the evolution of behavior.Robert J. Richards - 1981 - Journal of the History of Biology 14 (2):193-230.
    In late September 1838, Darwin read Malthus's Essay on Population, which left him with “a theory by which to work.”115 Yet he waited some twenty years to publish his discovery in the Origin of Species. Those interested in the fine grain of Darwin's development have been curious about this delay. One recent explanation has his hand stayed by fear of reaction to the materialist implications of linking man with animals. “Darwin sensed,” according to Howard Gruber, “that some would object to (...)
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  42. Evolution of Consciousness.Danko D. Georgiev - 2024 - Life 14 (1):48.
    The natural evolution of consciousness in different animal species mandates that conscious experiences are causally potent in order to confer any advantage in the struggle for survival. Any endeavor to construct a physical theory of consciousness based on emergence within the framework of classical physics, however, leads to causally impotent conscious experiences in direct contradiction to evolutionary theory since epiphenomenal consciousness cannot evolve through natural selection. Here, we review recent theoretical advances in describing sentience and free will as fundamental (...)
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  43.  8
    From Stars to Brains: Milestones in the Planetary Evolution of Life and Intelligence.Andrew Y. Glikson - 2019 - Cham: Springer Verlag.
    The permutation of basic atoms—nitrogen, hydrogen, oxygen, carbon and phosphorus―into the biomolecules DNA and RNA, subsequently evolved in cells and brains, defining the origin of life and intelligence, remains unexplained. Equally the origin of the genetic information and the intertwined nature of ‘hardware’ and ‘software’ involved in the evolution of bio-molecules and the cells are shrouded in mystery. This treatise aims at exploring individual and swarm behaviour patterns which potentially hint at as yet unknown biological principles. It reviews (...)
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  44.  3
    Cognitive Architectures in Artificial Intelligence: The Evolution of Research Programs.Andy Clark (ed.) - 1998 - Routledge.
    First published in 1998. Routledge is an imprint of Taylor & Francis, an informa company.
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  45. Domain-specific increases in stage of performance in a complete theory of the evolution of human intelligence.Chester Wolfsont, Sara Nora Ross, Patrice Marie Miller, Michael Lamport Commons & Miriam Chernoff - 2008 - World Futures 64 (5-7):416 – 429.
    The evolution of humans required performing increasingly hierarchically complex tasks within multiple domains. Hierarchical complexity increases task by task. Tasks occur within, and differ by, determinable domains, their stages of performance measurable using the Model of Hierarchical Complexity. How well one performs within single and multiple domains is considered to indicate intelligence. Original task-initiation is more difficult than imitational learning and can create new domains. Levels of support reduce task difficulty, increasing performance. Task-performance may be generalized to other (...)
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  46. Social cognition, inhibition, and theory of mind: The evolution of human intelligence.D. F. Bjorklund & K. Kipp - 2002 - In Robert J. Sternberg & J. Kaufman (eds.), The Evolution of Intelligence. Lawrence Erlbaum. pp. 27--54.
  47.  15
    A Critique of Nicholas Rescher’s Contribution to our Understanding of the Problematic Relation of Evolution and Intelligent Design.Jamie Morgan - 2014 - Journal of Critical Realism 13 (1):38-51.
    Rescher is a key figure in ‘new American pragmatist philosophy’. His work shares many commonalities with critical realism and engaging with it is always a rewarding experience. In this paper I set out the key features of his work on evolution and intelligent design, Productive Evolution: On Reconciling Evolution with Intelligent Design, and then address the weaknesses in the argument. The central strength of the argument is its innovative approach to the meaning of intelligent design in its (...)
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  48.  26
    Cultural evolution of genetic heritability.Ryutaro Uchiyama, Rachel Spicer & Michael Muthukrishna - 2021 - Behavioral and Brain Sciences 45:e152.
    Behavioral genetics and cultural evolution have both revolutionized our understanding of human behavior – largely independent of each other. Here, we reconcile these two fields under a dual inheritance framework, offering a more nuanced understanding of the interaction between genes and culture. Going beyond typical analyses of gene–environment interactions, we describe the cultural dynamics that shape these interactions by shaping the environment and population structure. A cultural evolutionary approach can explain, for example, how factors such as rates of innovation (...)
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  49.  50
    The Evolution of Consciousness and Agency.Denis Noble - 2022 - Biosemiotics 15 (3):439-446.
    Conscious Agency is a major driver of evolution. Artificial Selection (i.e. Conscious Selection by human breeders) was the foil against which Charles Darwin defined Natural Selection. In later work, he extended Artificial Selection to other species. That ability for social (e.g. sexual) selection must have evolved. Jablonka and Ginsburg identify markers of conscious agency, such as Unlimited Associative Learning (UAL), and show that it must have existed at the time of the Cambrian Explosion. To their insights, my commentary argues (...)
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  50.  64
    Origin and Evolution of the Brain.Marcello Barbieri - 2011 - Biosemiotics 4 (3):369-399.
    Modern biology has not yet come to terms with the presence of many organic codes in Nature, despite the fact that we can prove their existence. As a result, it has not yet accepted the idea that the great events of macroevolution were associated with the origin of new organic codes, despite the fact that this is the most parsimonious and logical explanation of those events. This is probably due to the fact that the existence of organic codes in all (...)
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