Abstract
Some issues concerning requirements for architectures, mechanisms, ontologies and forms of representation in intelligent human-like or animal-like robots are discussed. The tautology that a robot that acts and perceives in the world must be embodied is often combined with false premises, such as the premiss that a particular type of body is a requirement for intelligence, or for human intelligence, or the premiss that all cognition is concerned with sensorimotor interactions, or the premiss that all cognition is implemented in dynamical systems closely coupled with sensors and effectors. It is time to step back and ask what robotic research in the past decade has been ignoring. I shall try to identify some major research gaps by a combination of assembling requirements that have been largely ignored and design ideas that have not been investigated – partly because at present it is too difficult to make significant progress on those problems with physical robots, as too many different problems need to be solved simultaneously. In particular, the importance of studying some abstract features of the environment about which the animal or robot has to learn (extending ideas of J.J.Gibson) has not been widely appreciated.
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References
Ambler, A.P., Barrow, H.G., Brown, C.M., Burstall, R.M., Popplestone, R.J.: A Versatile Computer-Controlled Assembly System. In: Proc. Third Int. Joint Conf. on AI, Stanford, California, pp. 298–307 (1973)
Berthoz, A.: The Brain’s sense of movement. Perspectives in Cognitive Science. Harvard University Press, London (2000)
Braitenberg, V.: Vehicles: Experiments in Synthetic Psychology. The MIT Press, Cambridge (1984)
Brooks, R.A.: Elephants Don’t Play Chess. Robotics and Autonomous Systems 6, 3–15 (1990), http://people.csail.mit.edu/brooks/papers/elephants.pdf
Chappell, J., Sloman, A.: Natural and artificial meta-configured altricial information-processing systems. International Journal of Unconventional Computing 3(3), 211–239 (2007), http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0609
Cliff, D.: Biologically-Inspired Computing Approaches to Cognitive Systems: a partial tour of the literature. Technical Report HPL-2003-11, Hewlett-Packard Labs, Bristol, UK (2003), http://www.hpl.hp.com/techreports/2003/HPL-2003-11.html
Cutkosky, M.R., Jourdain, J.M., Wright, P.K.: Testing and Control of a Compliant Wrist. Technical Report CMU-RI-TR-84-04, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (March 1984), http://www.ri.cmu.edu/pubs/pub_73.html
Gibson, E.J., Pick, A.D.: An Ecological Approach to Perceptual Learning and Development. Oxford University Press, New York (2000)
Gibson, J.J.: The Ecological Approach to Visual Perception. Houghton Mifflin, Boston (1979)
Grush, R.: The emulation theory of representation: Motor control, imagery, and perception. Behavioral and Brain Sciences 27, 377–442 (2004)
Harnad, S.: The Symbol Grounding Problem. Physica D 42, 335–346 (1990)
Jablonka, E., Lamb, M.J.: Evolution in Four Dimensions: Genetic, Epigenetic, Behavioral, and Symbolic Variation in the History of Life. MIT Press, Cambridge (2005)
Kant, I.: Critique of Pure Reason. Macmillan, Basingstoke (1871); Translated by Norman Kemp Smith (1929)
King, R.D., Clark, D.A., Shirazi, J., Sternberg, M.J.: Inductive logic programming used to discover topological constraints in protein structures. In: Proc. International Conference on Intelligent Systems for Molecular Biology, pp. 219–226 (1994)
Kirsch, D.: Today the earwig, tomorrow man? Artificial Intellintelligence 47(1), 161–184 (1991), http://adrenaline.ucsd.edu/kirsh/articles/earwig/earwig-cleaned.html
Lakatos, I.: Proofs and Refutations. Cambridge University Press, Cambridge (1976)
Lakatos, I.: The methodology of scientific research programmes. In: Worrall, J., Currie, G. (eds.) Philosophical papers, vol. I. Cambridge University Press, Cambridge (1980)
Lungarella, M., Sporns, O.: Mapping information flow in sensorimotor networks. PLoS Computational Biolology 2(10:e144) (2006) 10.1371/journal.pcbi.0020144
McCarthy, J.: The Well Designed Child (1996), http://www-formal.stanford.edu/jmc/child1.html
Minsky, M.L.: The Society of Mind. William Heinemann Ltd., London (1987)
Minsky, M.L.: The Emotion Machine. Pantheon, New York (2006)
Neisser, U.: Cognition and Reality. W. H. Freeman., San Francisco (1976)
Nilsson, N.J.: Artificial Intelligence: A New Synthesis. Morgan Kaufmann, San Francisco (1998)
Pfeifer, R., Iida, F., Gomez, G.: Designing intelligent robots - on the implications of embodiment. Journal of Robotics Society of Japan 24(07), 9–16 (2006), http://www.robotcub.org/misc/review3/07_Pfeifer_Iida_Gomez_RSJ.pdf
Philipona, D.L., O’Regan, J.K.: Color naming, unique hues, and hue cancellation predicted from singularities in reflection properties. Visual Neuroscience 23(3-4), 331–339 (2006)
Poincaré, H.: Science and hypothesis. W. Scott, London (1905), http://www.archive.org/details/scienceandhypoth00poinuoft
Rips, L.J., Bloomfield, A., Asmuth, J.: From Numerical Concepts to Concepts of Number. The Behavioral and Brain Sciences (in press)
Sauvy, J., Suavy, S.: The Child’s Discovery of Space: From hopscotch to mazes – an introduction to intuitive topology. Penguin Education, Harmondsworth (1974); Translated from the French by Pam Wells
Shanahan, M.P.: A cognitive architecture that combines internal simulation with a global workspace. Consciousness and Cognition 15, 157–176 (2006)
Sloman, A.: ‘Necessary’, ‘A Priori’ and ‘Analytic’. Analysis 26(1), 12–16 (1965), http://www.cs.bham.ac.uk/research/projects/cogaff/07.html#701
Sloman, A.: The Computer Revolution in Philosophy. Harvester Press (and Humanities Press), Hassocks (1978), http://www.cs.bham.ac.uk/research/cogaff/crp
Sloman, A.: Image interpretation: The way ahead?. In: Braddick, O.J., Sleigh, A.C. (eds.) Physical and Biological Processing of Images (Proceedings of an international symposium organised by The Rank Prize Funds, London, 1982), pp. 380–401. Springer, Berlin (1982), http://www.cs.bham.ac.uk/research/projects/cogaff/06.html#0604
Sloman, A.: What enables a machine to understand? In: Proc. 9th IJCAI, Los Angeles, pp. 995–1001 (1985)
Sloman, A.: On designing a visual system (towards a gibsonian computational model of vision). Journal of Experimental and Theoretical AI 1(4), 289–337 (1989), http://www.cs.bham.ac.uk/research/projects/cogaff/81-95.html#7
Sloman, A.: Actual possibilities. In: Aiello, L.C., Shapiro, S.C. (eds.) Principles of Knowledge Representation and Reasoning: Proceedings of the Fifth International Conference (KR 1996), Boston, MA, pp. 627–638. Morgan Kaufmann, San Francisco (1996)
Sloman, A.: The Cognition and Affect Project: Architectures, Architecture-Schemas, And The New Science of Mind. Technical report, School of Computer Science, University of Birmingham (2003) (revised, August 2008), http://www.cs.bham.ac.uk/research/projects/cogaff/03.html#200307
Sloman, A.: Cross-Disciplinary Reflections: Philosophical Robotics. Research Note: Draft chapter for a book on the CoSy project COSY-TR-0806, School of Computer Science, University of Birmingham (2008), http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0806
Sloman, A.: Putting the Pieces Together Again. In: Sun, R. (ed.) Cambridge Handbook on Computational Psychology, ch. 26, pp. 684–709. Cambridge University Press, New York (2008), http://www.cs.bham.ac.uk/research/projects/cogaff/07.html#710
Sloman, A., Chappell, J.: The Altricial-Precocial Spectrum for Robots. In: Proceedings IJCAI 2005, Edinburgh, pp. 1187–1192. IJCAI (2005), http://www.cs.bham.ac.uk/research/cogaff/05.html#200502
Sloman, A.: Requirements for a Fully Deliberative Architecture (Or component of an architecture). Research Note COSY-DP-0604, School of Computer Science, University of Birmingham, Birmingham, UK (May 2006), http://www.cs.bham.ac.uk/research/projects/cosy/papers/#dp0604
Sloman, A.: Diversity of Developmental Trajectories in Natural and Artificial Intelligence. In: Morrison, C.T., Oates, T.T. (eds.) Computational Approaches to Representation Change during Learning and Development. AAAI Fall Symposium 2007, Technical Report FS-07-03, pp. 70–79. AAAI Press, Menlo Park (2007), http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0704
Sloman, A.: Architectural and representational requirements for seeing processes and affordances. In: Computational Modelling in Behavioural Neuroscience: Closing the gap between neurophysiology and behaviour. Psychology Press, London (2008), http://www.cs.bham.ac.uk/research/projects/cosy/papers#tr0801
Sloman, A.: Architectural and representational requirements for seeing processes, proto-affordances and affordances. Research paper COSY-TR-0801a, School of Computer Science, University of Birmingham, UK, Also presented at Dagstuhl workshop on Logic and Probability for Scene Interpretation (March 2008), http://www.cs.bham.ac.uk/research/projects/cosy/papers#tr0801a
Sloman, A.: Kantian Philosophy of Mathematics and Young Robots. In: Autexier, S., Campbell, J., Rubio, J., Sorge, V., Suzuki, M., Wiedijk, F. (eds.) AISC 2008, Calculemus 2008, and MKM 2008. LNCS, vol. 5144, pp. 558–573. Springer, Heidelberg (2008), http://www.cs.bham.ac.uk/research/projects/cosy/papers#tr0802
Sloman, A.: Varieties of Meta-cognition in Natural and Artificial Systems. In: Cox, M.T., Raja, A. (eds.) Workshop on Metareasoning, AAAI 2008 Conference, pp. 12–20. AAAI Press, Menlo Park (2008), http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0803
Sloman, A., Chappell, J.: Computational Cognitive Epigenetics (Commentary on [12]). Behavioral and Brain Sciences 30(4), 375–376 (2007), http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0703
Sloman, A., Cosy-partners.: CoSy deliverable DR.2.1 Requirements study for representations. Technical Report COSY-TR-0507, The University of Birmingham, UK (2005), http://www.cs.bham.ac.uk/research/projects/cosy/papers/#tr0507
Strawson, P.F.: Individuals: An essay in descriptive metaphysics. Methuen, London (1959)
Sussman, G.J.: A computational model of skill acquisition. American Elsevier, Amsterdam (1975)
Tarsitano, M.: Route selection by a jumping spider (Portia labiata) during the locomotory phase of a detour. Animal Behaviour 72(6), 1437–1442 (2006), http://dx.doi.org/10.1016/j.anbehav.2006.05.007
Trehub, A.: The Cognitive Brain. MIT Press, Cambridge (1991), http://www.people.umass.edu/trehub/
Turing, A.M.: Computing machinery and intelligence. Mind 59, 433–460 (1950); reprinted in Feigenbaum, E.A., Feldman, J. (eds.): Computers and Thought, pp. 11–35. McGraw-Hill, New York (1963)
Warneken, F., Tomasello, M.: Altruistic helping in human infants and young chimpanzees. Science, 1301–1303, March 3 (2006) doi:10.1126/science.1121448
Ziemke, T.: Situated and Embodied Cognition. Cognitive Systems Research 3(3) (2002) (Editor’s introduction to special issue)
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Sloman, A. (2009). Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Progress. In: Sendhoff, B., Körner, E., Sporns, O., Ritter, H., Doya, K. (eds) Creating Brain-Like Intelligence. Lecture Notes in Computer Science(), vol 5436. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00616-6_12
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