From Synapses to Rules

I: The Theoretical Bases Of Learning. 1. The Statistical Bases Of Learning; B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi. 2. Pac Meditation On Boolean Formulas; B. Apolloni, S. Baraghini, G. Palmas. 3. Learning Regression Functions; B. Apolloni, S. Gaito, D. Iannizzi, D. Malchiodi. 4. Cooperative Games In A Stochastic Environment; B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi. 5. If-Then-Else And Rule Extraction From Two Sets Of Rules; D. Mundici. 6. Extracting Interpretable Fuzzy Knowledge From Data; C. Mencar. 7. Fuzzy Methods For Simplifying A Boolean Formula Inferred From Examples; B. Apolloni, D. Malchiodi, C. Orovas, A.M. Zanaboni. II: Physical Aspects Of Learning. 8. On Mapping And Maps In The Central Nervous System; G.E.M. Biella. 9. Molecular Basis Of Learning And Memory: Modelling Based On Receptor Mosaics; L.F. Agnati, L.M. Santarossa, F. Benfenati, M. Ferri, A. Morpurgo, B. Apolloni, K. Fuxe. 10. Physiological And Logical Brain Functionalities: A Hypothesis For A Self-Referential Brain Activity; B. Apolloni, A. Morpurgo, L.F. Agnati. 11. Modeling Of Spontaneous Bursting Activity Observed In In-Vitro Neural Networks; M. Marinaro, S. Scarpetta. 12. The Importance Of Data For Training Intelligent Devices; A. Esposito. 13. Learning And Checking Confidence Regions For The Hazard Function Of Biomedical Data; B. Apolloni, S. Gaito, D. Malchiodi. III: Systems That Bridge The Gap. 14. Integrating Symbol-Oriented And Sub-Symbolic Reasoning Methods Into Hybrid Systems; F.J. Kurfess. 15. From The Unconscious To The Conscious; Ron Sun. 16. On Neural Networks, Connectionism And Brain-Like Learning; A. Roy. 17. Adaptive Computation In Data Structures And Webs; M. Gori. 18. Iuant: An Updating Method For Supervised Neural Structures; S. Gentili. Index.