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Artificial Intelligence and Biological Intelligence

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Intelligence and Evolutionary Biology

Part of the book series: NATO ASI Series ((ASIG,volume 17))

Abstract

It is often said that there can be no such thing as artificial intelligence. For certain, there is no such thing as biological intelligence. There are, however, biological intelligences. Animals have evolved many different motor and perceptual strategies to cope with the world ╍ indeed, these strategies are so different that one might rather say “their worlds”, as we shall see. The “space” of biological intelligences is not yet fully charted, nor have all the relevant dimensions even been identified. I shall argue that this exploration and theoretical mapping may benefit from some of the insights of artificial intelligence (AI).

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References

  • Ackley DH, Hinton GE and Sejnowski TJ (1985) A learning algorithm for Boltzmann machines. Cognitive Science 9: 147–169

    Article  Google Scholar 

  • Bobrow DG, ed. (1985) Qualitative reasoning about physical systems. Cambridge, Mass.: MIT Press. See also Artificial Intelligence 13:1980

    Google Scholar 

  • Boden MA (1972) Purposive explanation in psychology. Cambridge, Mass: Harvard University Press

    Google Scholar 

  • Boden M A (1977) Artificial intelligence and natural man. New York: Basic Books ch. 12 (2nd ed MIT Press 1986)

    Google Scholar 

  • Charniak E and McDermott D (1984) Introduction to artificial intelligence. Reading, Mass: Addison-Wesley ch. 9

    Google Scholar 

  • Collett TS and Land MF (1978) How hoverflies compute interception courses. J Comp Physiol 125: 191–204

    Article  Google Scholar 

  • Davis R and King J (1976) An overview of production systems. In: EW Elcock and D M Michie eds., Machine Intelligence 8 New York: Wiley

    Google Scholar 

  • Dreyfus H L (1972) What computers can’t do: a critique of artificial reason New York: Harper and Row

    Google Scholar 

  • Fahlmann SE (1974) A planning system for robot construction tasks Artificial Intelligence 5: 1–50

    Google Scholar 

  • Fikes RE, Hart PE and N Nillson. (1972) Learning and executing generalized robot plans. Artificial Intelligence 3: 251–288

    Article  Google Scholar 

  • Funt BV (1980) Problem-solving with diagrammatic representations. Artificial Intelligence 13: 201–230

    Article  Google Scholar 

  • Gibson JJ (1979) The ecological approach to visual perception. New York: Houghton- Mifflin

    Google Scholar 

  • Griffin DR (1978) Prospects for a cognitive ethology. Behavioral and Brain Sciences l: No. 4

    Google Scholar 

  • Hardy SM (1984) Robot Control Systems. In T O’Shea and M Eisenstadt eds., Artificial Intelligence: Tools, Techniques, Applications. London: Harper and Row: 178–191

    Google Scholar 

  • Hayes PJ (1979) The naive physics manifesto. In: D Michie ed., Expert systems in the micro-electronic age. Edinburgh: Edinburgh Univ Press. 242–270

    Google Scholar 

  • Heil J (1981) Does cognitive psychology rest on a mistake? Mind 90: 321–342

    Article  Google Scholar 

  • Held R and Hein A (1963) Movement-produced stimulation in the development of visually guided behaviour. J Comp Physiol Psychol 56: 872

    Article  PubMed  CAS  Google Scholar 

  • Hess EH (1956) Space perception in the chick. Scientific American 195: 71–80

    Article  Google Scholar 

  • Hinton GE (1979) Some demonstrations of the effects of structural descriptions in mental imagery. Cognitive Science 3: 231–250

    Article  Google Scholar 

  • Hinton GE (1981) Shape representation in parallel system. Proc Seventh Int Joint Conf AI (Vancouver): 1088–1096

    Google Scholar 

  • Hinton GE (1984) Parallel computations for controlling an arm. J Motor Behaviour 16: 171–194

    CAS  Google Scholar 

  • Hinton GE and JA Anderson eds. (1981) Parallel models of associative memory. Hillsdale, NJ: Erlbaum

    Google Scholar 

  • Hobbs J and Moore RC, eds (1984) Formal theories of the commonsense world. Norwood, NJ: Ablex

    Google Scholar 

  • Holst E von (1954) Relations between the central nervous system and peripheral organs. Brit J Animal Behaviour 2: 89–94

    Article  Google Scholar 

  • Kohler I (1962) Experiments with Goggles. Scientific American 206: 62

    Article  PubMed  CAS  Google Scholar 

  • Lehrman DS (1955) The physiological basis of parental feeding behavior in the ring dove (Streptopilia risoria) Behaviour 7: 241–286

    Article  Google Scholar 

  • Lehrman DS (1958) Effect of female sex hormones on incubation behavior in the ring dove (Streptopilia risoria). J Comp Physiol Psychol 51: 142–145

    Article  PubMed  CAS  Google Scholar 

  • Lehrman DS (1958) Induction of broodiness by participation in courtship and nest-building in the ring dove (Streptopilia risoria). J Comp Physiol Psych 51: 32–36

    Article  CAS  Google Scholar 

  • Lettvin JY, Maturana HR, Pitts, WH and McCullough WS (1959) What the frog’s eye tells the frog’s brain. Proc Inst Radio Engineers 47

    Google Scholar 

  • Lorenz K (1957) [Original 1937 ]. The nature of instinct: the conception of instinctive behaviour. In: C H Schiller, ed., Instinctive behavior. 129–175

    Google Scholar 

  • Lorenz K (1977) Behind the mirror: a search for a natural history of human knowledge. London: Methuen

    Google Scholar 

  • Malcolm N (1971) The myth of cognitive processes and structures. In: T Mischel ed. Cognitive development and epistemology New York: Academic Press. 385–3924

    Google Scholar 

  • Marr DA (1980) Vision. San Francisco: Freeman

    Google Scholar 

  • Martin M (1973) Are cognitive processes and structure a myth? Analysis 33: 83–88

    Article  Google Scholar 

  • Mayhew J, Frisby J (1984) Computer vision. In T O’Shea, M Eisenstadt eds, Artificial Intelligence: tools, techniques, applications. New York: Harper and Row 301–357

    Google Scholar 

  • McCarthy J, Hayes PJ (1969) Some philosophical problems from the standpoint of artificial intelligence. In B Meitzer, D Michie eds., Machine Intelligence 4. Edinburgh: Edinburgh Univ Press:463–502

    Google Scholar 

  • Miller A, Johnson-Laird P N (1976) Language and perception. Cambridge, Mass: Belknap Press

    Google Scholar 

  • Minsky ML, Papert S (1969) Perceptrons: an introduction to computational geometry. Cambridge, Mass: MIT Press

    Google Scholar 

  • Nagel T (1974) What is it like to be a bat? Philosophical Review 435–451

    Google Scholar 

  • Power RJ (1976) A model of conversation. Univ Sussex experimental psych lab: Working Paper

    Google Scholar 

  • Premack D, Woodruff G (1978) Does the chimpanzee have a theory of mind? Behavioral and Brain Sciences 1:#4

    Google Scholar 

  • Rock I, Tauber ES and Heller DP (1964 and 1966 ) Perception of stroboscopic movement: evidence for its innate basis. Science NY 147:1050–1052; and Science NY 153: 382

    Google Scholar 

  • Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psych Rev 65: 386–408

    Article  CAS  Google Scholar 

  • Rumelhart DE and McClelland JL, eds. (1986) Parallel distributed processing: explorations in the microstructure of cognition. Cambridge, Mass.: MIT Press

    Google Scholar 

  • Sacerdoti ED (1974) Planning in a hierarchy of abstraction spaces. Artificial Intelligence 5: 115–136

    Article  Google Scholar 

  • Savage-Rumbaugh ES et al. (1978) Linguistically mediated tool use and exchange by chimpanzee. Behavioral and Brain Sciences 1:#4

    Google Scholar 

  • Selfridge OG (1959) Pandemonium: a paradigm for learning. In: DV Blake and AM Uttley, eds., Proceedings of the Symposium on Mechanization of Thought Processes London H.M. Stationery Office 511–529

    Google Scholar 

  • Sloman A (1978) Intuition and analogical reasoning. In: The computer revolution in philosophy: philosophy, science and models of mind. Hassocks, Sussex: Harvester Press. 144–176

    Google Scholar 

  • Sloman A (1978) What about their internal languages? Behavioral and Brain Sciences 1: 602–603

    Article  Google Scholar 

  • Sloman A (1979) The primacy of non-communicative language. In: MMcCafferty, K Gray eds. The analysis of meaning. ASLIB and Brit Comp Soc

    Google Scholar 

  • Sloman A (1980) What kind of indirect process is visual perception? Behavioral and Brain Sciences 3: 401–404

    Article  Google Scholar 

  • Smith UK (1941) The effect of partial and complete decortication upon the extinction of optical nystagmus. J Gen Psych 25: 3–18

    Google Scholar 

  • Stratton GM (1896) Some preliminary experiments on vision. Psychol Rev 3: 611

    Article  Google Scholar 

  • Stratton GM (1897) Vision without inversion of the retinal image. Psychol Rev 4: 341

    Article  Google Scholar 

  • Sussman GJ (1975) A computer model of skill acquisition New York: Elsevier

    Google Scholar 

  • Uexkull J von (1957) A stroll through the world of animals and men. In: CH Schiller, ed. Instinctive behavior: the development of a modern concept New York: International Univ Press 5–82 [Original 1934]

    Google Scholar 

  • Ullman S (1979) The interpretation of visual motion. Cambridge, Mass.: MIT Press

    Google Scholar 

  • Ullman S (1980) Against direct perception. Behavioral and Brain Sciences 3: 373–415

    Article  Google Scholar 

  • Weiskrantz L (1977) Trying to bridge some neurological gaps between monkey and man. Brit J Psychol 68: 431–435

    Article  PubMed  CAS  Google Scholar 

  • Young R M (1976) Seriation by children: an artificial intelligence analysis of a Piagetian task. Basel: Birkhauser

    Google Scholar 

  • Young RM (1977) Mixtures of strategies in structurally adaptive production systems: examples from seriation and subtraction. DAI Research Report 33 Dept AI Univ Edinburgh

    Google Scholar 

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© 1988 Springer-Verlag Berlin Heidelberg

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Boden, M.A. (1988). Artificial Intelligence and Biological Intelligence. In: Jerison, H.J., Jerison, I. (eds) Intelligence and Evolutionary Biology. NATO ASI Series, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70877-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-70877-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-70879-4

  • Online ISBN: 978-3-642-70877-0

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