Epstein Secrets

ce for nonlinearity. Biol Cybern 75:85-92 260 HOUSE_OVERSIGHT_013760 Feller, W. (1968) An Introduction to Probability Theory and Its Applications. Wiley. NY. Vol. |., Chapter 3 Fermi, E., Pasta, J., Ulam, S. (1955): Studies of nonlinear problems. Los Alamos Scientific Laboratory Report # 1940 Fessar

llens, R., Gielen, G.(1998): The EEG diagnosis of septic encephalopathy. Neurol. Res. 20:100-106 Strogatz, S.H. (1994) Nonlinear Dynamics and Chaos. Addison-Wesley. Strong, S.P., de Ruyter van Steveninck, R.R., Bialek, W., Koberle, R. (1998) On the application of information theory to neural spike trains. Pac S

08 Crutchfield, J.P., Young, K. (1989b) Computation at the onset of chaos. In (ed. Zurek, W.H.) Complexity, Entropy and the Physics of Information. Addison-Wesley. Redwood City, CA.pp 223-269. Cvitanovic’, P. (1989): Universality in Chaos. Adam-Hilger, Bristol. Dayhoff, J.E. (1984) Distinguished words in data

(1983). The malleability of eyewitness accounts. In S.M.A. Lloyd-Bostock & B.R. Clifford (Eds.), Evaluating Witness Evidence (pp. 157-172). London: Wiley. Loftus, E.F. (1983). Memory. The World Book Encyclopedia (Vol. 13, pp. 318-320). Chicago: World Book, Inc. Keating, J.P., Loftus, E.F., & Manber,

ished Contribution, 1980). (Reissued with new Preface in 1996). • Japanese edition: Seishin Shobo, Tokyo. Loftus, E.F. (1980). Memory. Reading, MA: Addison-Wesley. (Reprinted by NY: Ardsley Press 1988). • Swedish edition: Liber Forlag, Stockholm.; Hebrew edition: Or Am, Tel-Aviv.; French edition: Le Jour, Edi

uter, 42(3):90-91, March 2009. ANI01. J. S. Albus and A. Xl. Meystel. Engineering of Mind: An Introduction to the Science of Intelligent Systems. Wiley and Sons, 2001. Ami89. Daniel J. Amit. Modeling brain function - the world of attractor neural networks. Cambridge University Press, New York, USA

y -of -friendly -ai/. LG90. Douglas Lenat and R. V. Cuba. Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Addison-Wesley, 1990. LH07a. Shane Legg and Marcus Flutter. A collection of definitions of intelligence. IOS, 2007. LH07b. Shane Legg and Marcus Rutter. A defin

Computer, 42(3):90-91, March 2009. AMO1. J. 5S. Albus and A. M. Meystel. Engineering of Mind: An Introduction to the Science of Intelligent Systems. Wiley and Sons, 2001. Ami89. Daniel J. Amit. Modeling brain function — the world of attractor neural networks. Cambridge University Press, New York, USA,

bility-of-friendly-ai/. LG90. Douglas Lenat and R. V. Guha. Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Addison-Wesley, 1990. LH07a. Shane Legg and Marcus Hutter. A collection of definitions of intelligence. IOS, 2007. LHO07b. Shane Legg and Marcus Hutter. A definit