Human brain; cognitive concepts, models and architectures; mathematical models for cognitive concepts; modelling evolution of mind; collaborative cognition; cognitive machines.

Course Objectives

Development of cognitive concepts and models that simulate human intelligence. Development of sample cognitive systems.

Recommended or Required Reading

Thagard, P; 2005; “Mind: Introduction to Cognitive Science”; MIT Press; ISBN 026270109X ,Konar, A; Jain, LC; 2005; “Cognitive engineering: a distributed approach to machine intelligence”; ISBN 1852339756 ,Raab, M; Johnson, JG; Heekeren , HR; 2009; “Mind and motion: the bidirectional link between thought and action”; Elsevier; ISBN 978-0-444-53356-2 ,Bermúdez, JL; 2010; “Cognitive Science: An Introduction to the Science of the Mind”; Cambridge University Press; ISBN 978-0-521-70837-1 ,Wang, Y; 2010; “Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence”; IGI Global snippet; ISBN 1605669024 ,Cohen, H; Lefebvre , C; 2005; “Handbook of categorization in cognitive science”; ISBN 0080446124 ,Eysenck, MW; Keane , MT; 2005; Cognitive psychology: a student’s handbook”; ISBN 1841693596 ,Mataric, Maja J; 2007; “The Robotics Primer”; MIT Press; ISBN 026263354x ,; 2000; “Temporal logic: mathematical foundations and computational aspects”; Oxford: Clarendon press; ISBN 0-19-853768-9 ,Baeten, JCM; Basten, T; Reniers, MA; 2009; “Process algebra: equational theories of communicating processes “; Cambridge University Press; SBN 0521820499

Learning Outcomes

1.  Cognitive concepts and structures required to model human reasoning

2. Cognitive architectures combining symbolic and evolving artificial intelligence methods

3. Data structures and algorithms for cognitive architectures

Grading

Midterm 30%

Homework 10%

Presentation 30%

Final 30%