Next:
Preface
Up:
Engineering of Intelligent Evolutionary
Previous:
Engineering of Intelligent Evolutionary
Contents
Preface
Introduction
Multiple Disciplins
Philosophy Precedes Science
History Of The Brain as Part of Life
The Term 'Consciousness'
Grounding The Term 'Intelligence'
'Bootstrapping' of Biological Systems
Engineering of Systems
A Turing-Framework for Evolutionary Processes
Roadmap
From Real Worlds to Virtual Worlds
The Structure of a Virtual World
The WOOD1-World Instance by Wilson
The WOOD1 world instance Formalized
Genetic Algorithms
A First Formal Evolutionary Model
Introducing GAs without Phenotype
Population P
Fitness F
Selection
Crossover
Mutation
Crossover and Mutation
Summing up: GAs without Phenotype
Theoretical Considerations
GA without Phenotype
Simple Populations: n=2, l=2
Simple Populations: n=6, l=8
Discussion: Selection and Crossover
Crossover
GA without Phenotype as Recursive Function
GA Interface to Problems
Example: 'Goldberg Variations'
GA with Genotype and Phenotype
Only Genotype
Ideal and real Success Sets
Success in the Real World
Calculating the Unknown
Do we need Crossover?
Systems Hierarchy
Random System
Graph Worlds and Probability
Probability of a Vertex
Probability of a Markov Chain
Reactive Systems (RS)
Learning Systems
Tasks
Learning a Task
Fitness Function
Tolman's Cognitive-Maps Task
Theoretical Assumptions
Experimental Setups
Learning in Tolman's Mazes
Learning Classifier Systems (LCS)
Bits of LCS History
(Computational) Semiotic Systems
Bits of Semiotic History
Sign Usage
A Simple Model of the Saussurian Sign Concept
Signs and Memory
Symbol Grounding
Language Learning
Doing Math
Playing Music
Drawing and Painting
Cooperations
Emotions
Distributed Cognition
Program Sources
GA_v3.sce
GA_v4.sce
Generating Populations for GAs: popgen()
Simple Graphs taken from TOLMAN2: tolman2graphs.sci
Probability of Vertices: probDGraph()
Random System A0: environment_v6c.sc
Reactive System: A1
Build Simple Environments: environment_v6.sci
Experimental Frameworks: A1_reactive_experiments.sci
Structure of Reactive Agent: A1_reactive_animat.sci
Functions of Reactive Agent: A1_reactive_functions.sci
Distributing the Fitness: A1_reactive_fitness.sci
Philosophy
Physical World as Virtual Reality?
APPENDIX
Theory - Model
Bibliography
Gerd Doeben-Henisch 2013-01-14