Results for 'Evolution of intelligence'

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  1.  24
    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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  2.  46
    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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  3. 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, Toward a Science of Consciousness II: The Second Tucson Discussions and Debates. MIT Press.
     
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  4.  59
    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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  5.  31
    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, Toward a Science of Consciousness II: The Second Tucson Discussions and Debates. MIT Press. pp. 2--383.
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  6.  28
    The evolution of intelligence: rehabilitation of recapitulation?Jan Wind - 1979 - Behavioral and Brain Sciences 2 (3):398-399.
  7.  26
    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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  8. 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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  9.  89
    The evolution of general intelligence.Judith M. Burkart, Michèle N. Schubiger & Carel P. van Schaik - 2017 - Behavioral and Brain Sciences 40:e195.
    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 (rodents and primates). 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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  10.  36
    "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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  11.  35
    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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  12.  18
    Evolution of artificial intelligence.Lee Spector - 2006 - Artificial Intelligence 170 (18):1251-1253.
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  13. Evolution of Avian Intelligence, With an Emphasis on Grey Parrots.Irene M. Pepperberg - 2001 - In Robert J. Sternberg & James C. Kaufman, The Evolution of Intelligence. Lawrence Erlbaum. pp. 315.
  14.  30
    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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  15.  26
    Graphic skills, posture, and the evolution of intelligence.Liliane Lurçat - 1979 - Behavioral and Brain Sciences 2 (3):392-393.
  16.  39
    The evolution of fluid intelligence meets formative g.Kristof Kovacs & Andrew R. A. Conway - 2017 - Behavioral and Brain Sciences 40.
  17.  24
    Panselectionist pitfalls in Parker & Gibson's model for the evolution of intelligence.Stephen Jay Gould - 1979 - Behavioral and Brain Sciences 2 (3):385-386.
  18.  28
    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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  19.  93
    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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  20.  4
    Stiegler and Butler on AI and the evolution of intelligence.Ruth Irwin - forthcoming - Educational Philosophy and Theory.
    Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of human epistemology is shaped by the emergence of machines. Pre-empting themes of posthumanism over 150 years ago, Butler teases out the notion of intelligence (...)
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  21.  11
    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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  22. Consciousness, the High Probability of Afterlife, and the Evolution of Intelligence in the Universe/s (16th edition).K. L. Senarath Dayathilake - 2023 - Cambridge.Org.
    This article investigates the profound mysteries of consciousness and the afterlife, which have captivated humanity for centuries. In our study, we conducted three hypothetical experiments, assuming all participants had healthy brains and minds in similar environments. We based our methodology on the premise that cell death can preserve anatomical and neural integrity (Vrselja et al., 2019). Between T1 and T2, six brains were rendered non-functional (brain death), eliminating consciousness. Participants were divided into three groups: -/- 1. Identical Triplets (Group I): (...)
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  23.  25
    Reconstruction of the Parker/Gibson “model” for the evolution of intelligence.William Orr Dingwall - 1979 - Behavioral and Brain Sciences 2 (3):383-384.
  24.  30
    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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  25. The Evolution of Psychological Intelligence[REVIEW]Ben A. Williams - 1985 - Behavior and Philosophy 13 (2):183.
  26.  78
    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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  27. The evolution of animal 'cultures' and social intelligence.Andrew Whiten & Van Schaik & P. Carel - 2007 - In Nathan Emery, Nicola Clayton & Chris Frith, Social Intelligence: From Brain to Culture. Oxford University Press.
  28. Evolution an act of intelligence.The Editor The Editor - 1924 - Pacific Philosophical Quarterly 5 (4):238.
  29. 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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  30. The search for criteria: why study the evolution of intelligence.Robert J. Sternberg - 2001 - In Robert J. Sternberg & James C. Kaufman, The Evolution of Intelligence. Lawrence Erlbaum. pp. 1--8.
  31.  69
    Was there collective intelligence before life on earth? Considerations on the formal foundations of intelligence, life, and evolution.Tadeusz Szuba - 2002 - World Futures 58 (1):61 – 80.
    Collective Intelligence (CI) can be formalized as a specific1 computational process through the use of a molecular model of computations and mathematical logic, in terms of interacting information_molecules, which are chaotically or quasi-chaotically displacing and running natural-based inference processes in their own environment. The formal definition of Collective Intelligence as a property of a social structure of beings of any nature is surprisingly short and abstract (which is astonishing) from definitions of Life. The formal definition of Collective (...) proposed by the author in the last few years seems to be valid for the whole spectrum of beings, in human social structures to ants in colonies, and even for bacterial colonies. It has recently been found that the CI definition also has an engineering value. The theory of CI can also be used to better understand Evolution because it allows us to locate and relate Life and Intelligence in Evolution. Moreover, this approach presents Evolution as something more complex than can be concluded from Darwinism. Probably the most surprising fact is that a simple extrapolation of the definition of Collective Intelligence brings us to the conclusion that most probably the first elementary Collective Intelligence emerged on Earth in the "chemical soup of primeval molecules," much before Life emerged. Collective Intelligence can be defined with fewer and weaker conditions than Life requires. Perhaps the emergence of that early elementary Collective Intelligence provided the basic momentum to build Life as we now know it. Thus Evolution caused Intelligence to create Life. Our hypothesis is consistent with biochemistry theories that "primeval biochemical molecules" started to interact, "firing" the Collective Intelligence of their "elementary chemical social structure" for survival. This successful action boosted further growth of complexity in that "elementary social structure," which finally resulted in the emergence of "well-defined Life." Furthermore, it provided a self-propagating cycle of growth of individual and collective Intelligence and individual and collective Life. The Collective Intelligence of ants, wolves, humans, and so forth today is only a higher level of Collective Intelligence development. Thus the present Evolution is a computational process of unidentified complexity where Life, Intelligence, and perhaps other as yet undiscovered components play temporary roles. In this paper we provide formalization and a proposed partial proof for this hypothesis. (shrink)
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  32. Self-awareness and the evolution of social intelligence.G. G. Gallup - 1998 - Behavioural Processes 42:239-247.
  33.  31
    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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  34. The evolution of animal intelligence.John Maynard Smith - 1984 - In Christopher Hookway, Minds, Machines And Evolution. Cambridge: Cambridge University Press.
  35. 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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  36. 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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  37.  22
    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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  38. 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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  39.  32
    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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  40. 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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  41. Civic Intelligence and the Evolution of Community Networks.D. Schuler - 2010 - AI and Society 25 (3).
  42.  7
    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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  43. The evolution of language: Truth and lies.Stephen R. L. Clark - 2000 - Philosophy 75 (3):401-421.
    There is both theoretical and experimental reason to suppose that no-one could ever have learned to speak without an environment of language-users. How then did the first language-users learn? Animal communication systems provide no help, since human languages aren't constituted as a natural system of signs, and are essentially recursive and syntactic. Such languages aren't demanded by evolution, since most creatures, even intelligent creatures, manage very well without them. I propose that representations, and even public representations like sculptures, precede (...)
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  44. 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, 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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  45.  78
    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.
  46. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence Evolution of the contours of AI.Fernando Martínez-Plumed, Bao Sheng Loe, Peter Flach, Sean O. O. HEigeartaigh, Karina Vold & José Hernández-Orallo (eds.) - 2018
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  47.  27
    Handbook of Intelligence: Evolutionary Theory, Historical Perspective, and Current Concepts.Sam Goldstein, Jack A. Naglieri & Dana Princiotta (eds.) - 2015 - New York, NY: Imprint: Springer.
    Numerous functions, cognitive skills, and behaviors are associated with intelligence, yet decades of research has yielded little consensus on its definition. Emerging from often conflicting studies is the provocative idea that intelligence evolved as an adaptation humans needed to keep up with - and survive in - challenging new environments. The Handbook of Intelligence addresses a broad range of issues relating to our cognitive and linguistic past. It is the first full-length volume to place intelligence in (...)
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  48.  35
    Natural selection in man: And the evolution of human intelligence.S. J. Holmes - 1930 - The Eugenics Review 22 (1):7.
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  49.  8
    The Evolution of Christianity: Volume 1.Lyman Abbott - 2009 - Cambridge University Press.
    Lyman Abbott was an American liberal theologian and a confidant of Theodore Roosevelt. He was a moderate man who sought to re-establish Christian faith among the American people in a period of change. This book, first published in 1893, argued that spiritual experience is always new and therefore every age requires a new expression for it. A believer in the possibility of harmonious coexistence between the Church and evolutionary theory, Abbott proposed a 'more intelligible and credible' religion that endeavoured to (...)
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  50.  20
    The Pros and Cons of “Intelligent Design”.Martin Poulsom - 2008 - Forum Philosophicum: International Journal for Philosophy 13 (2):177-195.
    The theories of Darwinian evolution and Intelligent Design appear to be locked in an intractable debate, partly because they offer rival scientific explanations for the phenomenon of descent with modification in biology. This paper analyses the dispute in two ways: firstly, it seeks to clarify the exact nature of the logical flaw that has been alleged to lie at the heart of Intelligent Design theory. Secondly, it proposes that, in spite of this error, the Intelligent Design theory advocated by (...)
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