Brain-computer interfacing for interaction in ad-hoc heterogeneous sensor agents groups

Abstract

We propose a formalism for representing concepts at a cortical level in order to abstractly reproduce human reasoning as captured via a brain-computer interface. The same model provides intelligent agents with reasoning, learning and decision capacity when interacting in heterogeneous ad-hoc sensor networks. The agents are endowed with self-awareness, and awareness of peer intentions and group gain. They rely on epistemic and belief logic in order to make individual or group decisions in the context of imperfect information and faced with the possibility of malicious agents impersonating group members or injecting corrupt information. Human agents can communicate with the group by natural language or a brain-computer interface.