Introduction to Evolutionary Informatics

Description

Contents......Page 3 Preface......Page 10 1 Introduction......Page 20 The Queen of Scientists & Engineers......Page 21 Science & Models......Page 22 Notes......Page 24 Defining Information......Page 26 Measuring Information......Page 29 Notes......Page 45 Design as Search......Page 48 Design by Computer......Page 50 Designing a good Pancake......Page 51 Sources of Knowledge......Page 60 The Curse of Dimensionality & the Need for Knowledge......Page 65 Implicit Targets......Page 67 Skeptic Fallibility......Page 69 Smörgåsbord of Search Algorithms......Page 75 Notes......Page 78 4 Determinism in Randomness......Page 86 Bernoulli Principle of Insufficient Reason......Page 88 The Need for Noise......Page 105 Basener Ceiling......Page 112 Final Comments......Page 118 Notes......Page 119 The Genesis......Page 123 Conservation of Information......Page 125 Astonishing Cost of Blind Search in Bits......Page 138 Measuring Search Difficulty in Bits......Page 143 Sources of Information in Evolutionary Search......Page 173 Stairstep Information & Transitional Functional Viability......Page 178 Coevolution......Page 185 The Search for the Search......Page 189 Conclusion......Page 198 Notes......Page 199 6 Analysis of biologically motivated Evolutionary Models......Page 205 EV - Software Model of Evolution......Page 206 Avida - Stair Steps to Complexity using NAND Logic......Page 223 Metabiology......Page 249 Conclusion - Sweeping a dirt Floor......Page 259 Notes......Page 261 The Meaning of Meaning......Page 269 Conditional KCS Complexity......Page 271 Defining Algorithmic Specified Complexity (ASC)......Page 273 Examples of ASC......Page 275 Meaning is in the Eye of the Beholder......Page 296 Notes......Page 297 8 Intelligent Design & Artificial Intelligence......Page 299 Turing & Lovelace......Page 300 ID & the Unknowable......Page 305 Notes......Page 306 Acronym List......Page 308 Variables......Page 309 Notation......Page 310 Index......Page 312