![]() |
-- Kitajima, M., Toyota, M., Dinet, J., and Nakahira, K.T. (2025)Kitajima, M., Toyota, M., Dinet, J., and Nakahira, K.T. (2025). Implementation of Structured Memes into Behavioral Ecology via GOMS. COGNITIVE 2025 : The Seventeenth International Conference on Advanced Cognitive Technologies and Applications, 6-16.
Implementation of Structured Memes into Behavioral Ecology via GOMSOur daily actions are executed to achieve desired states. Perceiving our own situation, we select actions that are expected to bring about the desired states, and execute them as a series. The memory used in this process is a representation in the brain of memes that are inherited from generation to generation. Memes are structured into three levels: action level, behavioral level, and cultural level, and are acquired through mimetic behavior. Memes at the higher levels are acquired as one gets older. This study is based on the Model Human Processor with Real-Time Constraints (MHP/RT), a cognitive architecture that includes Perceptual, Cognitive, and Motor (PCM) processes, and a memory system that is used during action selection by the PCM process and updated after action execution. We examine how the cognitive process of Two Minds utilizes memes structured in three layers, which is referred to as C-resonance in MHP/RT. It is known that knowledge built as a result of iterative actions toward a goal state is represented by a GOMS hierarchical structure whose elements are goals (G), operators (O), methods (M), and selection rules (S). This study shows that GOMS bundles memes belonging to different levels and combines goals and selection rules at the conscious level with methods and operators at the unconscious level to achieve effective and efficient goal-oriented action execution. The expressed behavior can be regarded as the result of crossing the syntax expressed by GOMS with the semantics expressed by memes, showing distinct characteristics depending on the balance of dominance between unconscious and conscious behavior in the behavioral ecology. Download
|