Information Driven Ecohydrologic Self-Organization

Information Driven Ecohydrologic Self-Organization

Variability plays an important role in the self-organized interaction between vegetation and its environment, yet the principles that characterize the role of the variability in these interactions remain elusive. To address this problem, we study the dependence between a number of variables measured at flux towers by quantifying the information flow between the different variables along with th...

Information Driven Self-Organization of Complex Robotic Behaviors

Information theory is a powerful tool to express principles to drive autonomous systems because it is domain invariant and allows for an intuitive interpretation. This paper studies the use of the predictive information (PI), also called excess entropy or effective measure complexity, of the sensorimotor process as a driving force to generate behavior. We study nonlinear and nonstationary syste...

Information driven self-organization of agents and agent collectives

Information and Self-Organization

Hermann Haken 1,* and Juval Portugali 2 1 Institute for Theoretical Physics, Center of Synergetics, Pfaffenwaldring 57/4, Stuttgart University, D-70550 Stuttgart, Germany 2 ESLab (Environmental Simulation Lab), Department of Geography and the Human Environment, Tel Aviv University, 69978 Tel Aviv, Israel; [email protected] * Correspondence: [email protected]; Tel./Fax: +49-...

Information-Driven Organization of Visual Receptive Fields

By using information theory to reduce the state space of sensor arrays, such as receptive fields, for AI decision making we offer an adaptive algorithm without classical biases of hand coded approaches. This paper presents a way to build an acyclic directed graph to organise the sensor inputs of a visual receptive field. The Information Distance Metric is used to repeatedly select two sensors, ...