Materiale di supporto al corso di Sistemi Intelligenza. A.A. 2004-2005. Aggiornato al 15.Novembre.2004.

Gli articoli ed i testi sono disponibili o in biblioteca o sul sito del corso. Gli articoli ed i testi di approfondimento (suggeriti, potete sceglierne altri di vostro interesse) sono in colore verde, mentre articoli e testi di riferimento sono in colore nero. Il Software disponibile per simulazioni è riportato in colore blu.

Intelligenza simbolica ed Artificial Life
•	Russell and Norvig, Artificial Intelligence, a Modern Approach, Prentice-Hall, prima edizione (Capitoli 26-27). 
•	M. Dorigo, V. Maniezzo, and A. Colorni.The Ant System: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol.26, No.1, 1996, pp.1-13.
•	R. Ghizzioli, S. Nouyan, M. Birattari, and M. Dorigo. An Ant-Based Algorithm for the Dynamic Task Allocation Problem. Technical Report No. TR/IRIDIA/2004-16, September 2004.
•	J.E: Hopcroft, Turing Machines, Scientific American, 1984.
•	http://www.neuroingegneria.com/articoli/puo_una_macchina_pensare.htm.
•	http://www.agentlink.org/
•		http://www.cs.umass.edu/~immerman/cs601/turingReference.html.
•	   http://www.turing.org.uk/turing/.
•	D. Terzopoulos, Artificial Life, Communications of the ACM, agosto 1999.
•	Craig W. Reynolds, Flocks, Herds, and Schools: A Distributed Behavioral Model, Computer Graphics, Volume 21, Number 4, July 1987.
•	Bruce M. Blumberg and Tinsley A. Galyean. Multi-Level Direction of Autonomous Creatures for Real-Time Virtual Environments. Proc. Siggraph 1995.
•	C. Langton, Studying Artificial life with cellular Automata, Physica 22D, 1986.
•	Bonabeau e Theraulaz, Swarm Smarts, Scientific American, 2000.

Sistemi fuzzy
Kosko, Neural Networks and Fuzzy Systems, Prentice Hall (Cap. 7-8).

Intelligenza biologica
•	Kandel, Schwartz, Jessel, Principles of Neural Science, Third edition, Elsevier (Cap.1, 2, 6, 19, 40, in particolare).
•	G. Ascoli, Progress and Persepctive in Computational Neuroanatomy, Anatomical Record (The New Anatomist section), 257(6):195-207 (1999).
•	Georgopoulos, Kalaska, Caminiti, Massey, On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex. J. Neuroscience. 2. 1527-1537, 1983.
•	Evelyne Kohler, Christian Keysers, M. Alessandra Umilta`, Leonardo Fogassi, Vittorio Gallese, Giacomo Rizzolatti, Hearing Sounds, Understanding Actions: Action Representation in Mirror Neurons. Science. Agosto 2002.
•	Zipser, D., and Andersen, R.A. (1988). "A back propagation programmed network that simulates response properties of a subset of posterior parietal neurons" Nature 331 679-684.
Software di simulazione neurale
•	http://www.neuron.yale.edu/neuron/
•	http://www.genesis-sim.org/GENESIS/
•	http://life.csu.edu.au/complex/tutorials/tutorial3.html
•	http://www.krasnow.gmu.edu/ascoli/Teaching/index_461_02.htm
•	A. Damasio, Descartes’ error, Putnam ed., 1994.
•	Giorgio A. Ascoli and Jeffrey L. Krichmar J.,  L-Neuron: A Modeling Tool for the Efficient Generation and Parsimonious Description of Dendritic Morphology. J. Neurocomputing, 2000.
•	A. Georgopoulos, J. Ashe, N. Smyrnis and M. Taira, The Motor Cortex and the Coding of Force, Science, 256,  pp. 1692-1696, June 1992.
•	Hiroshi Imamizu, Tomoe Kuroda, Satoru Miyauchi, Toshinori Yoshioka, and Mitsuo Kawato. Modular organization of internal models of tools in the human cerebellum. PNAS, April 29, 2003, vol. 100, no. 9, pp. 5461–5466.
•	Lacquaniti F. and Caminiti R., Visuo-motor transformations for arm reaching, European J. of Neurosc., Vol. 10, pp. 195-203, 1998.
•	J. Xing and R.A. Andersen. Models for the Posterior Parietal Cortex which Perform Multimodal Integration and Represent Space in Several Coordinate Frames. J. Cognitive Science, 12.4, pp. 601-614, 2000.

Connessionismo
•	C. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1996 (Capitolo 2.1, 2.2, 2.5, 2.6).
•	Hertz, Krough and Palmer, Introduction to the theory of Neural Computation, Addison Wesley, 1991 (Capitoli 1,  5,  7.4,  8.1,  9.4,  9.5, 9.6, 9.7). 
•	Sutton and Barto, Reinforcement Learning - An Introduction, MIT Press, 1998 (Cap. 1).
•	Barto, Sutton e Anderson, Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problems. IEEE Trans. Systems, Man & Cybernetics, 1983.
•	Borghese A., Frosio I. Human Visual System modelling for realtime Salt and Pepper noise removal. Proc. WIRN 2004.
•	Borghese N.A., Maggioni M. and Ferrari S., (2004) Multi-Scale Approximation with Hierarchical Radial Basis Functions Networks, IEEE Trans. Neural Networks, January, 2004. 
•	J. Moody and C. Darken, Fast-learning in networks of locally-tuned processing units, Neural Computation 1(2) (1989) 281-294.
•	N.A. Borghese and A. Calvi (2002), Learning to maintain upright posture: what can be learned by using Neural Network Models? 
•	Borghese N.A. and Ferrari S. (2000), A Portable Modular System for Automatic Acquisition of 3D Objects, IEEE Trans. Instrumentation & Mesurement, Vol. 49(5), pp. 1128-1136. 
•	F. Girosi, M. Jones, T. Poggio, Prioris, Stabilizers, and Basis Functions: from regularization to radial, tensor and additive splines, A.I. Memo No. 1430, MIT, 1993.
•	Jervis and Fallside, Pole Balancing on a Real Rig using Reinforcement Learning Controller, 1992.
•	J. Moody and C.J. Darken, Fast Learning in Networks of Locally-Tuned Processing Units, Neural Computation, Vol. 1, pp. 281-294, 1989.
•	D.F. Specht, Probabilistic Neural Networks, Neural Networks, Vol. 3, pp. 109-118, 1990.
Software di costruzione di superfici RBF multi-scala da range data.
•	http://homes.dsi.unimi.it/~borghese/Research/Software/Surfi_1.1/
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•	Visione artificiale
•	Trucco-Verri. Introductory Techniques for 3D Computer Vision (Capitoli 1, 2, 4.1, 6, 7.1). Prentice Hall. 1998. 
•	Tesi di laurea di Fabio Chigiotti (capitoli 3 e 5).
•	Zisserman-Hartley. Multiple-View Geometry. Cambridge University Press. 2004.
•	Marc Pollefeys, Tutorial: Visual 3D Modeling from Images, ECCV2004.
•	Weng, Cohen Henriou, Camera Calibration with Distortion Models and Accuracy Evaluation. IEEE Trans. PAMI Vol. 14:10, pp. 965-980, 1992.
•	Tesi di laurea di Fabio Chigiotti (Bundle-Adjustment).

Robotica.
Giovannetti Cappelli. Interazione Uomo-Robot. Intelligenza Artificiale. 2004.
•	F. Davide, M.  Holmberg, I. Lundstrom, Virtual olfactory interfaces: electronic noses and olfactory displays, Communications Through Virtual Technology: Identity Community and Technology in the Internet Age. Edited by G. Riva and F. Davide, IOS Press, 2003
•	Michael Halle Autostereoscopic displays and computer graphics, Computer Graphics, ACM SIGGRAPH, 31(2), May 1997, pp. 58-62. 
•	Robots: Intelligence, Versatility, Adaptivity, Special Issue of Communications of the ACM, Vol. 45, No. 3, March 2003.