 |
Understanding and predicting human behavior has always been a fundamental research question in AI. This project proposes a methodology to address that problem termed automated cognitive behavior analysis (ACBA). The methodology allows uncovering the underlying behavior structures — the mental plans guiding and shaping people’s actions carried out in the world — given observed behavior performed in the context of complex tasks. It involves the use of genetic programming (GP) to iteratively generate programs capable of explaining the behavior exhibited by an individual in a given task. It also includes a set of tools to help analyze and interpret the invariant cognitive structures responsible for different observed behaviors. |
Read more…Automated Cognitive Behavior Analysis