Name
Abstract | ||
|---|---|---|
Autonomous decision-making is a fundamental requirement for the intelligent behavior of individual agents and 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 designs decision-making mechanisms inspired mostly by the successful natural systems. Nevertheless, most of the approaches focus on voting mechanisms and miss other fundamental aspects. 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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3389/frobt.2019.00016 | FRONTIERS IN ROBOTICS AND AI |
Keywords | Field | DocType |
decision-making process,multi-agent system (MAS),swarm robotics,collective system design (CSD),information processing | Information processing,Information transfer,Voting,Computer science,Human–computer interaction,Artificial intelligence,Artificial systems,Machine learning,Decision-making,Group decision-making,Swarm robotics | Journal |
Volume | ISSN | Citations |
6.0 | 2296-9144 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yara Khaluf | 1 | 42 | 8.79 |
| Pieter Simoens | 2 | 511 | 47.30 |
| Heiko Hamann | 3 | 14 | 1.38 |