Cognitive Modeling as a Method for Agent Development in Artificial Intelligence

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  • This research aims to expand the applications of cognitive modeling by exploring the use of a testbed approach to modeling human behaviour. Newell's complex task analysis method (1990) was applied to model an agent completing a complex task through incremental and iterative design to test the agent's ability to fluidly monitor and react to internal and external interruptions and perform the tasks at an expert level successfully through simulated challenge sets within different environments. A single agent is developed incrementally over five stages of distinct simulated challenge sets, with testing for backwards compatibility. The testbed approach and incremental development provides insight to agent-specific cognitive structure functionality, and to the process of combining microcognition and macrocognition in cognitive modeling.

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  • Copyright © 2019 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

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  • 2019

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