Guided Self-Organization: Inception

Part I. Introduction

1. On the Cross-Disciplinary Nature of Guided Self-Organisation
Mikhail Prokopenko, Daniel Polani, Nihat Ay

Part II. Foundational Frameworks

2. Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis
Nelson Fernández, Carlos Maldonado, Carlos Gershenson

3. Generating Functionals for Guided Self-Organization
Claudius Gros

4. Empowerment–An Introduction
Christoph Salge, Cornelius Glackin, Daniel Polani

5. A Framework for the Local Information Dynamics of Distributed Computation in Complex Systems
Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya

6. Quantifying Synergistic Mutual Information
Virgil Griffith, Christof Koch

Part III. Coordinated Behaviour and Learning within an Embodied Agent

7. On the Role of Embodiment for Self-Organizing Robots: Behavior As Broken Symmetry
Ralf Der

8. Robot Learning by Guided Self-Organization
Georg Martius, Ralf Der, J. Michael Herrmann

9. On the Causal Structure of the Sensorimotor Loop
Nihat Ay, Keyan Zahedi

10. Action Switching in Brain-Body-Environment Systems
Eran Agmon

11. Guided Self-Organization of Input-Driven Recurrent Neural Networks
Oliver Obst, Joschka Boedecker

Part IV. Swarms and Networks of Agents

12. Measuring Information Dynamics in Swarms
Jennifer M. Miller, X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko, Louis F. Rossi

13. Guiding Designs of Self-Organizing Swarms: Interactive and Automated Approaches
Hiroki Sayama

14. Mutual Information As a Task-Independent Utility Function for Evolutionary Robotics
Valerio Sperati, Vito Trianni, Stefano Nolfi

15. Evolution of Complexity and Neural Topologies
Larry S. Yaeger

16. Clustering and Modularity in Self-Organized Networks
Somwrita Sarkar, Peter A. Robinson

Avainsanat: Engineering, Complexity, Theory of Computation, Artificial Intelligence (incl. Robotics), Computational Intelligence, Nonlinear Dynamics