Constructive and Practical Research Methodology for Computational Understanding of Situated Intelligence

Abstract

A person in the world acquires the situation information that constraints possible range of behavior generation, and then determines proper behavior. We consider ``situated intelligence'' as the generation of behavior adapted to each of surrounding situations. To computationally understand the process mechanism of situated intelligence, our methodology is proposed to model and examine a person as a robotic system. Grounded on making an ecologically valid setting of research, our methodology repeats the following: (1) constructing a probabilistic model of situated intelligence by the parameters of behavior and situation, and (2) practically examining a new hypothesis by practicing the model in a real-world setting.