Self-modeling Networks Using Adaptive Internal Mental Models for Cognitive Analysis and Support Processes

摘要

In this paper, an adaptive network model is presented for cognitive analysis and support processes for the situation and states of a human, illustrated for a car driver. The adaptive network model makes use of first-order self-models for the internal mental models used for the cognitive analysis and support processes. To obtain adaptation of these first-order self-models, second-order self-models are included. The adaptive network model is illustrated for realistic scenarios for a car driver.