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<TITLE>Adaptive Intelligence (Readings), M.Sc. in Cognitive Science</TITLE>
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<H1>Adaptive Intelligence<BR>
(<A HREF="http://www.cognitivescience-postgrad.phs.uoa.gr/">M.Sc. in Cognitive Science, University of Athens</A>)</H1>
<P>

<H1>Readings</H1>
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<HR>

<H2>Lecture 1. Roots Ι (Cybernetics)</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>A. Guillot, J.-A. Meyer : The animat contribution to cognitive systems research,
	Journal of Cognitive Systems Research, 2001.
<BR><!-A HREF="protected/GuillotMeyer2001.pdf"><U>PDF, 9 pages, 70K</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>W.R. Ashby : Design for a brain, 1954. (κεφάλαια 1-9)
<BR><!-A HREF="protected/Ashby1954_Extract.pdf"><U>PDF, 132 pages, 6.4M</U>
<LI>D. Cliff : Biologically-Inspired Computing Approaches to Cognitive
   Systems: A partial tour of the literature, HP Bristol Report
   HPL-2003-11.
<BR><!-A HREF="protected/Cliff2003a.pdf"><U>PDF, 56 pages, 720K</U>
</UL>

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<HR>
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<H2>Lecture 2. Roots ΙΙ (Computer Science, Artificial Intelligence)</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>R.A. Brooks : Intelligence without reason, Artificial
   Intelligence Memo 1293, MIT AI Lab, April 1991.
<BR><!-A HREF="protected/Brooks1991a.pdf"><U>PDF, 28 pages, 340K</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>R.D. Beer : Dynamical systems and embedded cognition, in K. Frankish and
	W. Ramsey, "Cambridge Handbook of Artificial Intelligence", 2010.
<BR><!-A HREF="protected/Beer2010.pdf"><U>PDF, 35 pages, 360K</U>
<LI>R.A. Brooks : Intelligence without representation, Artificial
   Intelligence Journal, 1991.
<BR><!-A HREF="protected/Brooks1991b.pdf"><U>PDF, 12 pages, 710K</U>
<LI>A. Clark, R. Grush : Towards a cognitive robotics, Adaptive Behavior, 7(1), 1999.
<BR><!-A HREF="protected/ClarkGrush1999.pdf"><U>PDF, 12 pages, 240K</U>
<LI>P. Maes : Modeling adaptive autonomous agents, Artificial
   Life Journal, 1994.
<BR><!-A HREF="protected/Maes1994.pdf"><U>PDF, 37 pages, 251K</U>
<LI>L. Steels : The artificial life roots of artificial intelligence,
   Artificial Life Journal, 1994.
<BR><!-A HREF="protected/Steels1994.pdf"><U>PDF, 87 pages, 400K</U>
</UL>

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<H2>Lecture 3. Basic models</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>V. Braitenberg : Vehicles, 1986.
<BR><!-A HREF="protected/Braitenberg1986.pdf"><U>PDF, 82 pages, 1.17Μ</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>O. Holland : Exploration and high adventure: The legacy of Grey Walter, Philosophical
	Transactions of the Royal Society of London, A, 2003.
<BR><!-A HREF="protected/Holland2003.pdf"><U>PDF, 38 pages, 1.1M</U>
<LI>M. Toda : The design of a fungus-eater: A model of human behavior in an
	unsophisticated environment, Behavioral Science, 1962.
<BR><!-A HREF="protected/Toda1962.pdf"><U>PDF, 20 pages, 1.7M</U>
</UL>

<P>
<HR>
<P>

<H2>Lecture 4. Artificial neural networks</H2>

<B>ΘΕΜΕΛΙΩΔΗ</B>
<UL>
<LI>A.K. Jain, J. Mao, K. Mohiuddin: Artificial neural networks: A tutorial, IEEE Computer, 1996.
(average difficulty)
<BR><!-A HREF="protected/JainEtAl1996.pdf"><U>PDF, 49 pages, 460K</U>
<LI>G. Kendall: Neural networks tutorial, 2001. (easy)
<BR><!-A HREF="protected/Kendall2001.pdf"><U>PDF, 15 pages, 470K</U>
</UL>

<P>
<HR>
<P>

<H2>Lecture 5. Neurobiological models</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>D. Cliff : Neuroethology, Computational, in M.A.Arbib (ed.), Handbook
   of Brain Theory and Neural Networks, 2nd edition, 2003.
<BR><!-A HREF="protected/Cliff2003b.pdf"><U>PDF, 22 pages, 170K</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>R.D. Beer, H.J. Chiel : Neural implementation of motivated behavior:
   Feeding in an artificial insect, in D. Touretzky (Ed.), Advances in
   Neural Information Processing Systems 2, Morgan Kaufmann, pp. 44-51,
   1989.
<BR><!-A HREF="protected/BeerChiel1989.pdf"><U>PDF, 8 pages, 860K</U>
<LI>H. Berry, M. Quoy : Structure and dynamics of random recurrent neural networks, 
	Adaptive Behavior, 14(2), 2006.
<BR><!-A HREF="protected/BerryQuoy2006.pdf">PDF, 10 pages, 1.23M</U>
<LI>D.H. Edwards, W.J. Heitler, F.B. Krasne : Fifty years of a command neuron: The neurobiology
	of escape behavior in crayfish, Trends In Neurosciences, 22(4):153-61, 1999.
<BR><!-A HREF="protected/EdwardsEtAl1999.pdf"><U>PDF, 9 pages, 740K</U>
<LI>E. di Paolo : Evolving spike-timing-dependent plasticity for single-trial
	learning in robots, Philosophical Transactions of the Royal Society of
	London, A, 2003.
<BR><!-A HREF="protected/DiPaolo2003.pdf"><U>PDF, 21 pages, 660K</U>
<LI>D. Hebb : The organization of behavior, 1949 (introduction and
   chapter 4, growth of assembly, included in "Neurocomputing -
   Foundations of research" by Anderson & Rosenfeld, 1988).
<BR><!-A HREF="protected/Hebb1949.pdf"><U>PDF, 14 pages, 4.6M</U>
<LI>H.S. Seung : Learning in spiking neural networks by reinforcement of stochastic
	synaptic transmission, Neuron, 40:1063-1073, 2003.
<BR><!-A HREF="protected/Seung2003.pdf"><U>PDF, 11 pages, 260K</U>
<LI>J. Vreeken : Spiking neural networks: An introduction, Technical Report UU-CS-2003-008,
	Institute for Information and Computing Sciences, Universiteit Utrecht, 2003.
<BR><!-A HREF="protected/Vreeken2003.pdf"><U>PDF, 5 pages, 450K</U>
<LI>B. Webb, R. Harrison : Integrating sensorimotor systems in a robot
   model of cricket behaviour, SPIE Proceedings, 2000.
<BR><!-A HREF="protected/Webb2000.pdf"><U>PDF, 12 pages, 310K</U>

</UL>

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<A NAME="Animats1">
<H2>Lecture 6. Animats Ι (Locomotion, perception)</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>O. Trullier, S.I. Wiener, A. Berthoz, J.-A. Meyer : Biologically-based artificial navigation
systems - Review and prospects, Progress in Neurobiology, 1997.
<BR><!-A HREF="protected/TrullierEtAl1997.pdf"><U>PDF, 94 pages, 970K</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>M. Blanchard, F.C. Rind, P.F.M.J. Verschure : Collision avoidance using a model of the locust
	LGMD neuron, Robotics and Autonomous Systems, 30, 2000.
<BR><!-A HREF="protected/BlanchardEtAl2000.pdf"><U>PDF, 22 pages, 610K</U>
<LI>E. di Paolo : Homeostatic adaptation to inversion of the visual field and other sensorimotor
	disruptions, Proceedings SAB Conference, 2000.
<BR><!-A HREF="protected/DiPaolo2000.pdf"><U>PDF, 10 pages, 600K</U>
<LI>M.O. Franz, H.A. Mallot : Biomimetic robot navigation, Robotics and Autonomous Systems, 30, 2000.
<BR><!-A HREF="protected/FranzMallot2000.pdf"><U>PDF, 21 pages, 300K</U>
<LI>P. Gaussier, C. Joulain, J.P. Banquet, S. Lepretre, A. Revel : The visual homing problem:
	An example of robotics/biology cross fertilization, Robotics and Autonomous Systems, 30, 2000.
<BR><!-A HREF="protected/GaussierEtAl2000.pdf"><U>PDF, 26 pages, 1.7M</U>
<LI>J. Triesch, H. Jasso, G.O. Deak : Emergence of mirror neurons in a model of gaze following,
	Adaptive Behavior, 15(2), 2007.
<BR><!-A HREF="protected/TrieschEtAl2007.pdf"><U>PDF, 18 pages, 400K</U>
</UL>

<P>
<HR>
<P>

<H2>Lecture 7. Animats ΙΙ (Ethology)</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>T.J. Prescott, P. Redgrave, K. Gurney : Layered control architectures in robots
	and vertebrates, Adaptive Behavior, 7(1999):99-127.
<BR><!-A HREF="protected/PrescottEtAl1999.pdf"><U>PDF, 29 pages, 3.4M</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>M.D. Humphries, K. Gurney, T.J. Prescott : Is there an integrative center in the vertebrate
	brain-stem? A robotic evaluation of a model of the reticular formation viewed as an action
	selection device, Adaptive Behavior, 13(2), 2005.
<BR><!-A HREF="protected/HumphriesEtAl2005.pdf"><U>PDF, 17 pages, 470K</U>
<LI>D. McFarland: Defining motivation and cognition in animals, International Studies in
   the Philosophy of Science, 5(2):153-170, 1991.
<BR><!-A HREF="protected/McFarland1991.pdf"><U>PDF, 18 pages, 1.0M</U>
<LI>D. McFarland: Animals as cost-based robots, International Studies in
   the Philosophy of Science, 6(2):133-153, 1992.
<BR><!-A HREF="protected/McFarland1992.pdf"><U>PDF, 21 pages, 1.1M</U>
<LI>D. McFarland : Animal behavior, 3rd edition, 1998 (chapters 24,25,
   animal economics & robotics).
<BR><!-A HREF="protected/McFarland1998b.pdf"><U>PDF, 43 pages, 14632K</U>
<LI>T.J. Prescott : Forced moves or good tricks in design space? Landmarks in the evolution of
	neural mechanisms for action selection, Adaptive Behavior, 15(1), 2007.
<BR><!-A HREF="protected/Prescott2007.pdf"><U>PDF, 24 pages, 880K</U>
<LI>A. Tyrrell : The use of hierarchies for action selection,
   Adaptive Behavior Journal, 1993.
<BR><!-A HREF="protected/Tyrrell1993.pdf"><U>PDF, 34 pages, 14163K</U>
<LI>M. Witkowski : An action selection calculus, Adaptive Behavior, 15(1), 2007.
<BR><!-A HREF="protected/Witkowski2007.pdf"><U>PDF, 26 pages, 550K</U>
</UL>

<P>
<HR>
<P>

<H2>Lecture 8. Animats ΙΙΙ (Learning)</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>Paul F. M. J. Verschure, Thomas Voegtlin :  What Can Robots Tell Us About Brains?
	A Synthetic Approach Towards the Study of Learning and Problem Solving,
	Reviews in the Neurosciences, 10(3-4), 291-310, 1999.
<BR><!-A HREF="protected/VoegtlinVerschure1999.pdf"><U>PDF, 54 pages, 715K</U>

</UL>

<B>ADDITIONAL</B>
<UL>
<LI>C. Balkenius : Spatial learning with perceptually grounded
   representations, Robotics and Autonomous systems, 25(1998):165-175.
<BR><!-A HREF="protected/Balkenius1998.pdf"><U>PDF, 11 pages, 750K</U>
<LI>C. Balkenius : Attention, habituation and conditioning: Toward a computational model,
	Cognitive Science Quarterly, 1(2), 2000.
<BR><!-A HREF="protected/Balkenius2000.pdf"><U>PDF, 29 pages, 210K</U>
<LI>A. Balkenius, A. Kelber, C. Balkenius : How do hawkmoths learn multimodal stimuli?
	A comparison of three models, Adaptive Behavior, 16(6), 2008.
<BR><!-A HREF="protected/BalkeniusEtAl2008.pdf"><U>PDF, 12 pages, 340K</U>
<LI>T. Hartley, N. Burgess, C. Lever, F. Cacucci, J. O'Keefe : Modeling place
   fields in terms of the cortical inputs to the hippocampus, Hippocampus
   10:369-379, 2000.
<BR><!-A HREF="protected/HartleyBurgessEtAl2000.pdf"><U>PDF, 11 pages, 434K</U>
<LI>S.S. Joshi, B. Guilhabert : Sequence-learning algorithm based on backward chaining,
	Adaptive Behavior, 14(1), 2006.
<BR><!-A HREF="protected/JoshiGuilhabert2006.pdf"><U>PDF, 20 pages, 500K</U>
<LI>M.J. Mataric : Integration of representation into goal-driven
   behavior-based robots, IEEE Transactions on Robotics and Automation,
   8(3):304-312, 1992.
<BR><!-A HREF="protected/Mataric1992.pdf"><U>PDF, 9 pages, 1.75M</U>
<LI>D. McFarland : Animal behavior, 3rd edition, 1998 (chapter 17,
   conditioning & learning).
<BR><!-A HREF="protected/McFarland1998a.pdf"><U>PDF, 15 pages, 2.9M</U>
<LI>T. Savage, T. Ziemke : Learning and unlearning mechanisms in animats and animals,
	Adaptive Behavior, 8(2), 2000.
<BR><!-A HREF="protected/SavageZiemke2000.pdf"><U>PDF, 31 pages, 2.75M</U>
<LI>R.S. Sutton, A.G. Barto : Reinforcement learning - An introduction, 1998,
   (chapter 1, introduction).
<BR><!-A HREF="protected/SuttonBarto1998.pdf"><U>PDF, 25 pages, 76K</U>
<LI>E.C. Tolman : Cognitive maps in rats and men, The Psychological Review,
   55(4):189-208, 1948.
<BR><!-A HREF="protected/Tolman1948.pdf"><U>PDF, 14 pages, 237K</U>
</UL>

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<HR>
<P>

<H2>Lecture 9. Evolution of behaviour</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>P. Husbands, I. Harvey, D. Cliff, G. Miller : Artificial evolution - A new
   path for artificial intelligence?, Brain and Cognition, 34(1997):130-159.
<BR><!-A HREF="protected/HusbandsEtAl1997.pdf"><U>PDF, 30 pages, 910K</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>R.D. Beer, R.D. Quinn, H.J. Chiel, R.E. Ritzmann : Biologically inspired
   approaches to robotics, Communications of the ACM, 40(3):30-38, March 1997.
<BR><!-A HREF="protected/BeerEtAl1997.pdf"><U>PDF, 9 pages, 1.2M</U>
<LI>A. Cangelosi, D. Parisi, S. Nolfi : Cell division and migration in a 'genotype'
   for neural networks, Network, 5:497-515, 1994.
<BR><!-A HREF="protected/CangelosiEtAl1994.pdf"><U>PDF, 25 pages, 130K</U>
<LI>G.E. Hinton, S.J. Nowlan : How learning can guide evolution, Complex
   Systems, 1(1987):495-502.
<BR><!-A HREF="protected/HintonNowlan1987.pdf"><U>PDF, 5 pages, 100K</U>
<LI>J. Koza : Genetic evolution and co-evolution of computer programs,
   Proceedings Artificial Life II, 1990.
<BR><!-A HREF="protected/Koza1990.pdf"><U>PDF, 33 pages, 190K</U>
<LI>Z. Michalewicz, R. Hinterding, M. Michalewicz : Evolutionary algorithms,
   Chapter 2 in Fuzzy Evolutionary Computation, W. Pedrycz (editor), Kluwer
   Academic, 1997.
<BR><!-A HREF="protected/Michalewicz1997.pdf"><U>PDF, 29 pages, 320K</U>
<LI>M. Mitchell : An introduction to genetic algorithms, MIT Press, 1996
   (chapter 1 : general overview).
<BR><!-A HREF="protected/Mitchell1996.pdf"><U>PDF, 26 pages, 774K</U>
<LI>S. Nolfi : Learning and evolution in neural networks, 
   in M.A. Arbib (Ed.), Handbook of brain theory and neural networks,
   Second Edition. Cambridge, MA: MIT Press, pp.415-418.
<BR><!-A HREF="protected/Nolfi2002.pdf"><U>PDF, 8 pages, 30K</U>
<LI>S. Nolfi, D. Parisi : Evolution of artificial neural networks,
   in M.A. Arbib (Ed.), Handbook of brain theory and neural networks,
   Second Edition. Cambridge, MA: MIT Press, pp.418-421.
<BR><!-A HREF="protected/NolfiParisi2002.pdf"><U>PDF, 8 pages, 40K</U>
</UL>

<P>
<HR>
<P>

<H2>Lecture 10. Higher functions (Emotion, consciousness, agency)</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>M. Aubé : From Toda's urge theory to the commitment theory of emotions,
Cybernetics and Systems, 2001.
<BR><!-A HREF="protected/Aube2001.pdf"><U>PDF, 26 pages, 260K</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>X.E. Barandiaran, E. di Paolo, M. Rohde : Defining agency: Individuality,
	normativity, asymmetry and spatio-temporality in action, Adaptive Behavior, 2009.
<BR><!-A HREF="protected/BarandiaranEtAl2009.pdf"><U>PDF, 20 pages, 320K</U>
<LI>H.J. Caulfield, J.L. Johnson, M.P. Schamschula, R. Inguva: A general model of
primitive consciousness, Cognitive Systems Research, 2001.
<BR><!-A HREF="protected/CaulfieldEtAl2001.pdf"><U>PDF, 10 pages, 240K</U>
<LI>S.C. Gadanho, J. Hallam : Robot learning driven by emotions, Adaptive Behavior, 2001.
<BR><!-A HREF="protected/GadanhoHallam2001.pdf"><U>PDF, 23 pages, 360K</U>
<LI>H. De Jaegher, T. Froese : On the role of social interaction in individual agency,
	Adaptive Behavior, 2009.
<BR><!-A HREF="protected/DeJaegherFroese2009.pdf"><U>PDF, 17 pages, 230K</U>
<LI>D.D. Tsankova: Emotional intervention on an action selection mechanism based on
	artificial immune networks for navigation of autonomous agents, Adaptive Behavior, 2009.
<BR><!-A HREF="protected/Tsankova2009.pdf"><U>PDF, 18 pages, 600K</U>
</UL>

<P>
<HR>
<P>

<H2>Lecture 11. Theory</H2>
<B>FUNDAMENTAL</B>
<UL>
<LI>M. Boden : Autopoiesis and life, Cognitive Science Quarterly, 2000.
<BR><!-A HREF="protected/Boden2000.pdf"><U>PDF, 29 pages, 170K</U>
</UL>

<B>ADDITIONAL</B>
<UL>
<LI>M. van Duijn, F. Keijzer, D. Franken : Principles of minimal cognition: Casting
	cognition as sensorimotor coordination, Adaptive Behavior, 2006.
<BR><!-A HREF="protected/vanDuijnEtAl2006.pdf"><U>PDF, 15 pages, 400K</U>
<LI>A. Etxeberria : Autopoiesis and natural drift: Genetic information, reproduction and
	evolution revisited, Artificial Life, 2004.
<BR><!-A HREF="protected/Etxeberria2004.pdf"><U>PDF, 14 pages, 100K</U>
<LI>A. Moreno, A. Etxeberria, J. Umerez : Autonomy of biological individuals and artificial
	models, Biosystems, 2008.
<BR><!-A HREF="protected/MorenoEtAl2008.pdf"><U>PDF, 11 pages, 180K</U>
<LI>F. Varela : Autopoiesis: The organization of living systems, its characterization and a
	model, Biosystems, 1974.
<BR><!-A HREF="protected/VarelaEtAl1974.pdf"><U>PDF, 10 pages, 560K</U>
<LI>F. Varela : L’auto-organisation : de l'apparence au mécanisme (Η αυτο-οργάνωση :
	Από το φαινόμενο στο μηχανισμό), 1982.
<BR><!-A HREF="protected/Varela1982.pdf"><U>(translated) PDF, 18 pages, 380K</U>
</UL>

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<EM>Page last updated 04 December 2011.</EM><BR>
<A HREF="mailto:etzafestas@phs.uoa.gr">
<EM>Send me mail (etzafestas@phs.uoa.gr)</EM></A><BR><BR>

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