Author:
Alfonso Íñiguez
Affiliation:
Swarm Technology, United States
Keyword(s):
Autonomous, Robotics, Artificial Intelligence, Multi-Agent, Swarm Intelligence, Parallel Processing.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Cognitive Robotics
;
Cognitive Systems
;
Computational Intelligence
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Evolutionary Computing
;
Informatics in Control, Automation and Robotics
;
Knowledge Discovery and Information Retrieval
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Machine Learning
;
Multi-Agent Systems
;
Robot and Multi-Robot Systems
;
Robotics and Automation
;
Self Organizing Systems
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
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).