EVOLUTIONARY PROGRAMMING AND IDEAS READINGS.

1. Genetic Algorithms and Evolution Strategies.
2. Genetic Programming, Evolutionary Strategies, Evolutionary Design. Fogel. State machines.
3. Genetic Programming.
4. Evolutionary Design. Art. Lego bridges of Pollack.
5. Intro to Machine Learning and Data Mining in Robotics.
6. Decision Trees
7. Information theory in learning. Trees, expressions.
8. Evolving game strategies. In PDF format. Characteristics of Intelligent Agent Systems. Major tasks performed by intelligent agent systems. Practical applications of IA. Evolving game playing strategies. Agent Based Modeling. Types of agent based modeling. Prisoner's Dilemma. PD as a model of Nature. Payoff Matrix. Deterministic strategies for PD. Tit for Tat. Axelrod's Tournaments. Downfall of deterministic strategies. Beyond Determinism. Stochastic Strategies. PD in Nature. Spatial chaos. Case studies. Evolution of behavior in Nature. Levels of Selection. Cooperative Breeding.
   
   
9. Group Robotics. In PDF format. .
   
   
10. Group Robotics continued. In PDF format. .
    
    
11. Choosing how to behave.
    
    
12. Simulated Societies and Group Learning for robots.