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CFP ---: CAAC --- Computational Architectures for Animal Cognition

Call for Papers --- deadline for submissions:   9th January, 2017

at AISB 2017
University of Bath, UK.
18-21 April, 2017.


Animal behaviour has been studied by zoologists for longer than AI has
existed as a research field; going all the way back to Darwin. While
AI has been inspired by the intelligence of animals, developing
important new algorithms (like ACO and ABC), it has not yet
contributed equally back to biology. This symposium aims to explore
the potential for cross-disciplinary work to develop a new application
domain for AI techniques and philosophy, in the world of biology. We
seek papers from biologists, ethologists, comparative psychologists,
developmental psychologists, cognitive scientists and AI researchers,
and philosophers of science.

Where Cognitive Science is concerned predominantly with human
cognition, there remains a gap for animal cognition. Recent
developments in animal behaviour research are ripe for computational
explication and rigour. At the same time, AI has been developing
better agents models, such as in robotics and MAS (multi-agent
systems).

AISB's convention theme is Society and AI, and submissions that
reflect concerns with animal welfare or new directions for
computational modeling which may explore the similarities and
distinctions of animal and human cognition are encouraged.

This symposium thus invites contributions with topics such as the following :-

+ computational models of (non-human) animal cognition and behaviour.
+ comparisons between models of lower and higher order animals.
+ methodologies to evaluate and compare models of animal behaviour.
+ models of non-human rationality, and of cognitive biases.
+ agent architectures for animal cognition.
+ agent based models of animal societies.
+ ....

This is a multi-disciplinary symposium. We seek reports of experiments
with animals, or with artificial agents; or scholarly papers on the
philosophy and history of science in this context; as well as position
papers.

Please see website for further details :-

  https://sites.google.com/site/caacsymp/


- David Moffat,     Glasgow Caledonian University, UK.
- Joel Parthemore,  University of Skövde, Sweden.

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