3. ECAL 1995:
: Artificial Life and Molecular Evolutionary Biology.
1. Foundations and Epistemology
: Grounding and the Entailment Structure in Robots and Artificial Life.
: Escaping from the Cartesian Mind-Set: Heidegger and Artificial Life.
: Semantic Closure: A Guiding Notion to Ground Artificial Life.
2. Origins of Life and Evolution
: Prebiotic Chemistry, Artificial Life, and Complexity Theory: What Do They Tell Us About the Origin of Biological Systems?
: Complexity Analysis of a Self-organizing vs. a Template-Directed System.
: Incremental Co-Evolution of Organisms: A New Approach for Optimization and Discovery of Strategies.
3. Adaptive and Cognitive Systems
: Cell Differentiation and Neurogenesis in Evolutionary Large Scale Chaos.
Luis Mateus Rocha
: Contextual Genetic Algorithms: Evolving Developmental Rules.
Julie C. Rutkowska
: Can Development Be Designed? What we May Learn from the Cog Project.
Henrik Hautop Lund
: Specialization Under Social Conditions in Shared Environments.
Gregory R. Mulhauser
: To Simulate or Not to Simulate: A Problem of Minimising Functional Logic Depth.
: Quasi-Uniform Computation-Universal Cellular Automata.
: A New Self-Reproducing Cellular Automaton Capable of Construction and Computation.
5. Robotics and Emulation of Animal Behavior
Maja J. Mataric
: Evaluation of Learning Performance of Situated Embodied Agents.
: Evolving Electronic Robot Controller that Exploit Hardware Resources.
: Learning and Adaptivity: Enhancing Reactive Behaviour Architectures in Real-World Interaction Systems.
: Essential Dynamical Structure in Learnable Autonomous Robots.
6. Societies and Collective Behavior
8. Applications and Common Tools