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 adap-tive 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.
|Name||Studies in Computational Intelligence|
|Conference||9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020|
|Period||1/12/20 → 3/12/20|