Epstein Secrets

for the Humanities V VILLANOVA UNIVERSITY COLLEGE OF LIBERAL ARTS AND SCIENCES The Albert Lepage Center FOR HISTORY IN THE PUBLIC INTEREST CAMBRIDGE UNIVERSITY PRESS Purdue University Department of History Oregon State Center for the Humanities Lepage Center for History in the Public Interest Cambridge University

ity Center for the Humanities V VILLANOVA UNIVERSITY COLLEGE OF LIBERAL ARTS AND SCIENCES The Albert Lepage Center FOR HISTORY IN THE PUBLIC INTEREST CAMBRIDGE UNIVERSITY PRESS Purdue University Department of History Oregon State Center for the Humanities Lepage Center for History in the Public Interest Cambr

peration without reciprocity. Nature, 418, 441-443. [127] Rousset, F., 2004. Genetic structure and selection in subdivided populations. Prince- ton University Press. [128] Rousset, F., Billiard, S., 2000. A theoretical basis for measures of kin selection in subdivided populations: finite populations and localiz

c Applications, R.J. Aumann Sc S. Hart (ed.). [44] Harsanyi, J. C., Selten, R. 1988. A General Theory of Equilibrium Selection in Games. MIT Press: Cambridge MA. EFTA00749008 Bibliography 142 [45] Hassell MP, Comins HN, May RM, 1994. Species coexistence and self-organizing spa- tial dynamics. Nature, 370

Association for Computational Linguistics. OCC90. Andrew Ortony, Gerald Clore, and Allan Collins. The Cognitive Structure of Emotions. Cambridge University Press, 1990. O1s95. J. R. Olsson. Inductive functional programming using incremental program transformation. Arti- ficial Intelligence, 1995. PAF00. H.

9. Association for Computational Linguistics. Pei34. C. Peirce. Collected papers: Volume V. Pragmatism end pragmaticism. Harvard University Press. Cambridge MA., 1934. Pel05. Martin Pelikan. Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms. Springer, 2005.

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, 1989. ARC09. I. Arel, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional rob

to Artificial Intelligence. Springer, 1982. Pei34. C. Peirce. Collected papers: Volume V. Pragmatism and pragmaticism. Harvard University Press. Cambridge MA., 1934. Pe105. Martin Pelikan. Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms. Springer, 2005.

nce 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, 1989. ARCO9. I. Arel, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional robus

oach to Artificial Intelligence. Springer, 1982. Pei34. C, Peirce. Collected papers: Volume V. Pragmatism and pragmaticism. Harvard University Press. Cambridge MA., 1934. Pel05. Martin Pelikan. Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary Algorithms. Springer, 2005. Pen9