The Octopus as a Model for Artificial Intelligence: A Multi-Agent Robotic Case Study

摘要

The aim of this paper is to investigate the curious cognition process exhibited by the octopus, and its practical applicability to multi-agent systems. The paper begins by explaining the limitations of using the human brain as a model to achieve artificial cognition and proposes an alternative model inspired by the octopus' distributed approach to solving problems. As a case study, a laboratory prototype demonstrates awareness, autonomy, solidarity, expandability, and resiliency in a multi-robotic system. The cognition model described in this paper is primarily algorithmic and does not explore the model creation process nor semantics; rather, it lays the foundation and inspiration for a future realization as a Process for Agent Societies Specification and Implementation (PASSI).