ACAL 2011 Special Session “Information Processing, Inference and Learning” May 18
We are organising a special session “Information Processing, Inference and Learning” at the Fifth Australian Conference on Artificial Life (ACAL11).
Organisers: Oliver Obst, Mikhail Prokopenko (CSIRO ICT Centre)
Keynote speaker (tentative): Prof. Martin Riedmiller, Albert-Ludwigs University Freiburg, Germany
Learning is one of the most important capabilities of living systems, and processes involved in inference and learning are ingrained in many levels of organisation scale, e.g., from single neurons to organisations or societies. Much of the information processing involved in these processes is consequently distributed, and relies on local interactions among individual entities. On the other hand, many successful approaches from machine learning require some centralised processing, while in living systems no such requirement exists.
In this special session, we are looking for contributions that will address issues that involve information processing, inference, and learning, with a perspective on their application to Alife scenarios. These include for example methods to help characterising relevant information, self-organised encoding of information, decentralised approaches to learning, and inference mechanisms. Possible topics include, but are not limited to,
- information theoretic methods for analysing/describing Alife scenarios
- interactions between genetic evolution, and individual learning
- self-organised information processing
- intrinsically motivated learning
- guided self-organisation
To submit papers to this special session, please use the ACAL 2011 submission system and use Information Processing, Inference and / or Learning as a keyword.
