Introduction   Requirements   Format and 
Papers and
Venue and
 Contacts and 
Action selection is an agent's continuous problem of choosing what to do next. In artificial intelligence, this problem has been addressed with strategies ranging from constructing long chains of intentions that provide provably optimal means of achieving goals to reactive or anytime algorithms that do simple lookups based solely on the external environment. But what does nature do?

This multidisciplinary workshop is dedicated to advancing our understanding of the behavioral patterns and neural substrates supporting action selection in animals --- including humans. Examples of interesting topics include:
   o The variation of action selection strategies across species.
   o The variation of strategies within species across individual,
      social or environmental contexts.
   o Cognitive, neural and embodied models of decision making.

We are seeking participation of researchers from either natural or artificial intelligence (NI or AI), who propose models for either human or animal behavior. We seek experts from neuroscience, psychology, and the quantitative social sciences as well as AI. We hope workshop participants will substantially advance the discipline both through presenting science and by examining and critiquing a wide variety of modeling approaches.

Workshop Dates: 30 & 31 July 2005


The proceedings (published by AISB) are now online.

There is now a book, Modelling Natural Action Selection (Seth, Prescott & Bryson, eds.) on Cambridge University Press (November, 2011). 20% discount for clicking this link!

There is a related special issue of Philosophical Transactions of The Royal Society, B -- Biological Sciences on Modelling Natural Action Selection. Note: buy this issue at a special price!

There is also a related special issue of Adaptive Behavior on Mechanisms of Action Selection.

Thanks to all our participants and authors!

See also...

An Interdisciplinary Workshop


Support from
B I R O - n e t
Biologically Inspired Robotics Network

Last Updated:
December 20th 2005