The Neglected Pieces of Designing Collective Decision-Making Processes
- 1Ghent University, Belgium
- 2Luebeck University of Applied Sciences, Germany
Autonomous decision-making is a fundamental requirement for the intelligent behavior of individual agents as well as collective systems. For artificial systems, one of the key design prerequisites is providing the system with the ability to make proper decisions. Current literature on collective artificial systems inspires decision-making mechanisms from natural collective systems, which manage to survive successfully. Nevertheless, most of the approaches focus on voting mechsnsisms. In this paper, we aim to draw attention to the missed pieces for the design of efficient collective decision-making, mainly information processes in its two types of stimuli and options set.
Keywords: decision-making process, Multi-agent system ( MAS), swarm robotics, Collective System Design (CSD), Information Processing
Received: 05 Jul 2018;
Accepted: 28 Feb 2019.
Edited by:Daniel Polani, University of Hertfordshire, United Kingdom
Reviewed by:Jonathan M. Aitken, University of Sheffield, United Kingdom
Christoph Salge, University of Hertfordshire
Copyright: © 2019 Khaluf, Simoens and Hamann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Yara Khaluf, Ghent University, Ghent, Belgium, email@example.com