Department of Computer Science
University of Hertfordshire
Hatfield AL10 9AB
Editor of Journal of Autonomous Agents and Multi-Agent Systems
Associate Editor of Advances in Complex Systems
Editor of Paladyn. Journal of Behavioral Robotics
Led by the University of Bremen, the project is interested in a generic cognitive framework to allow robots to interact with humans in a "biologically plausible" way. For this UH uses principles based on Information Theory for Intelligent Information Processing to create a self-organizing informational anticipatory architecture. CORBYS is funded by the European Commission under the 7th Framework Program Grant agreement No. 270219. (See also UH Press Release)
UH participates for a decade in the RoboCup Soccer competition, until 2004 in the 2D simulation, since 2004 in 3D humanoid simulation, and since 2013, also in the Kidsize league.
Are there general principles underlying intelligent information processing in living beings which we can exploit without having to resort to specialized solutions that vary from task to task?
Can understanding of mechanisms for "life" teach us something about how to achieve intelligence in artificial systems?
More seriously, information theory is one of the most universal concepts with applications in computer science, mathematics, physics, biology, chemistry and other fields. It allows a lucid and transparent analysis of many systems and provides a framework to study and compare seemingly different systems using the same language and notions.
Recent research in learning models, e.g. Neural Networks, emphasizes the universal role of information. Can information theory open a universal approach towards the development of Artificial Intelligence and the studies of Artificial Life?
Here is a question I was asking myself (or, actually Usenet, to be precise) a couple of years ago about Information Theory and Stochastic Control.
There was no reply from Usenet, however, a few results relevant to that question have come up (or we have become aware of) in the meantime:
We will occasionally update this list when we a paper that seems particularly close to addressing above question or a question related to it.
Some further useful links to resources (people/papers) on Biology and Information can be found at the
How is this selection process attained in nature? How can we copy it in artificial systems? How are new channels of environmental information be tapped and exploited by a system that originally accessed a different set of information channels? Can we make use of it in artefacts?
Successful multiagent studies have been carried out e.g. in the framework of
Martin Biehl The Structure of Agents Andrés Burgos Communication between Agents Tom Anthony Empowerment and its Dynamics Malte Harder Information-Driven Self-Organization of Agents and Agent Collectives PhD viva passed October 2013 Sander van Dijk Informational Constraints and Organization of Behaviour, PhD viva passed October 2013 Christoph Salge Informational models of Social Interaction Philippe Capdepuy Emergence of Cooperation in Agent Collectives through a Potential Entropy Maximization Principle, PhD awarded December 2010 Dorothee Francois Facilitating children's play with robots: a developmental robotics approach, PhD awarded February 2009 Tobias Jung Fast Reinforcement Learning with Kernel Machines; remote supervision, PhD awarded February 2008 Alexander Klyubin Organization of Information Flow through the Perception-Action Loop, PhD awarded May 2007 Robert Lowe Multiagent Systems/Evolution of Expression, PhD awarded February 2007