From Statistical Physics to Statistical Inference and Back Book

	Preface
	Remarks	1
	Statistical mechanics and the maximum entropy method	11
	Irreversibility, probability and entropy	45
	Maximum entropy for random cellular structures	77
	Minimal Description Length modeling: an introduction	95
	An introduction to learning and generalization	105
	Information geometry and manifolds of neural networks	113
	Uncertainty as a resource for managing complexity	139
	The development of Information Theory	155
	Statistical inference, zero-knowledge and proofs of identity	169
	Spin glasses: an introduction	183
	Statistical Mechanics and error-correcting codes	195
	Learning and generalization with undetermined architecture	205
	Confronting neural network and human behavior in a quasiregular environment	225
	Sensory processing and information theory	237
	The formation of representations in the visual cortex	249
	Classifier systems: models for learning agents	263
	Space time dynamics and biorthogonal analysis: mementum	281
	Symbolic encoding in dynamical systems	293
	Topological organization of (low-dimensional) chaos	311
	Noise Separation and MDL modeling of chaotic processes	317
	Inference in Quantum Mechanics	331
	Decoherence and the existential interpretation of quantum theory or "no information without representation"	341
	List of Contributors	351
	Index	353