The Goal Re-activation Problem in Cognitive Architectures.

cognitive architecture;prospective memory;Computer Science;Engineering;Computer Science and Engineering

Li, Ning HuiLebiere, Christian J. ;

University of Michigan

关键词: cognitive architecture;    prospective memory;    Computer Science;    Engineering;    Computer Science and Engineering;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/120676/justinnh_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

Intelligent agents in the real world have to manage multiple goals. However, the pursuit of some goals may only be possible under specific conditions which, if not met, requires the agent to suspend the goals for future re-activation. In cognitive architectures, suspended goals are stored in long-term memory; however, this prevents agents from automatically recognizing future opportunities to complete those goals.This thesis characterizes this previously-unidentified problem as an instance of a more general circular dependency between the retrieval and use of knowledge in cognitive architectures: the agent must recognize that a goal is relevant to retrieve it, but cannot recognize it as such without retrieving it in the first place. We apply this characterization to develop preemptive and spontaneous retrieval strategies for goal re-activation in the Soar cognitive architecture. Evaluation of these strategies in an abstract domain shows that the spontaneous retrieval strategy dominates the other strategies, achieving higher goal completion rates in fewer operations, although it is also not without failure cases. Both types of strategies not only provide solutions to the goal re-activation problem, but also pave the way for further exploration of how intelligent agents can access the right knowledge at the right time.