Engineering of Intelligent Evolutionary Semiotic Systems ()
(Draft, not completed)
This 5th version is a revised version of http://www.uffmm.org/gbbclt.html

Gerd Doeben-Henisch (University of Applied Sciences Frankfurt am Main (Germany) )
in cooperation with Ricardo Gudwin (DCA/FEEC/UNICAMP (Brazil))

Date: Last Update: Jan-14, 2013, 23h22m

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
- 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'
    - Population: P, P'
    - Fitness
- GA with Genotype and Phenotype
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
Philosophy
- Physical World as Virtual Reality?
APPENDIX
- Theory - Model
Bibliography
About this document ...

Gerd Doeben-Henisch 2013-01-14

Engineering of Intelligent Evolutionary Semiotic Systems () (Draft, not completed) This 5th version is a revised version of http://www.uffmm.org/gbbclt.html

Engineering of Intelligent Evolutionary Semiotic Systems ()
(Draft, not completed)
This 5th version is a revised version of http://www.uffmm.org/gbbclt.html