School of Computing Blekinge Institute of Technology Generic Cognitive Architecture for Real- Time, Embedded Cognitive Systems Jekaterina Novikova Thesis submitted for completion of Master of Science (60 credits) Main field of study: Computer Science Specialization: Informatics August 2011 School of Computing Blekinge Institute of Technology SE-371 79 Karlskrona Sweden This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science (60 credits) in Computer Science with specialization in Informatics. The thesis is equivalent to 10 weeks of full time studies. Contact Information: Author: Jekaterina Novikova E-mail:
[email protected] University advisor: Prof. Craig Lindley School of Computing School of Computing Internet : www.bth.se/com Blekinge Institute of Technology Phone : +46 455 38 50 00 SE-371 41 Karlskrona Fax : + 46 455 38 50 57 Sweden ii ABSTRACT Context. The problem of integrated cognition belongs to a multi-disciplinary area of cognitive engineering. The multi-disciplinary focusing on cognitive models and real-time embedded systems, such as mobile robots, helps to reveal a broader and deeper understanding of robotics as part of everyday life and society. Over the past decades many cognitive architectures have been proposed and steadily developed, based on different approaches and methodologies, but still current cognitive architectures are far from the goal of covering the requirements for general intelligence. Recent research in the area of evolutionary algorithms and genetic programming is used in this study as an inspiration for developing the new version of integrated cognitive architecture, and the knowledge of human brain structure and functions is applied to the architecture as well.