Language Evolution in Swarm Robotics
| Autor: | Marco Dorigo, Eliseo Ferrante, Vincent Fremont, Nicolas Cambier, Vito Trianni, Roman Miletitch |
|---|---|
| Přispěvatelé: | Artificial intelligence, Network Institute, Artificial Intelligence (section level), School of Computing [Leeds], University of Leeds, Institut de Recherches interdisciplinaires et de Développements en Intelligence Artificielle [Bruxelles] (IRIDIA), Université libre de Bruxelles (ULB), École Centrale de Nantes (ECN), Autonomie des Robots et Maîtrise des interactions avec l’ENvironnement (ARMEN), Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Vrije Universiteit Amsterdam [Amsterdam] (VU), Institute of Cognitive Sciences and Technologies (ICST-CNR), Consiglio Nazionale delle Ricerche (CNR) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
language games
Computer science lcsh:Mechanical engineering and machinery Swarm robotics 02 engineering and technology lcsh:QA75.5-76.95 [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] Task (project management) [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] 03 medical and health sciences 0302 clinical medicine Artificial Intelligence Human–computer interaction 0202 electrical engineering electronic engineering information engineering [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] lcsh:TJ1-1570 cultural evolution Sociocultural evolution swarm robotics Self-organization Robotics and AI communication Perspective (graphical) Intelligence artificielle self-organization Computer Science Applications language evolution Perspective Robot 020201 artificial intelligence & image processing lcsh:Electronic computers. Computer science 030217 neurology & neurosurgery Natural language Meaning (linguistics) |
| Zdroj: | Frontiers in Robotics and AI, 7(February):12, 1-7. Frontiers Media Cambier, N, Miletitch, R, Frémont, V, Dorigo, M, Ferrante, E & Trianni, V 2020, ' Language Evolution in Swarm Robotics : A Perspective ', Frontiers in Robotics and AI, vol. 7, no. February, 12, pp. 1-7 . https://doi.org/10.3389/frobt.2020.00012 Frontiers in Robotics and AI Frontiers in Robotics and AI, Frontiers Media S.A., 2020, 7, pp.12. ⟨10.3389/frobt.2020.00012⟩ Frontiers in Robotics and AI 7 (2020). doi:10.3389/frobt.2020.00012 info:cnr-pdr/source/autori:Cambier, Nicolas; Miletitch, Roman; Fremont, Vincent; Dorigo, Marco; Ferrante, Eliseo; Trianni, Vito/titolo:Language Evolution in Swarm Robotics: A Perspective/doi:10.3389%2Ffrobt.2020.00012/rivista:Frontiers in Robotics and AI/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:7 Frontiers in Robotics and AI, Vol 7 (2020) Frontiers in robotics and AI, 7 |
| ISSN: | 2296-9144 |
| DOI: | 10.3389/frobt.2020.00012 |
| Popis: | International audience; While direct local communication is very important for the organization of robot swarms, so far it has mostly been used for relatively simple tasks such as signaling robots preferences or states. Inspired by the emergence of meaning found in natural languages, more complex communication skills could allow robot swarms to tackle novel situations in ways that may not be a priori obvious to the experimenter. This would pave the way for the design of robot swarms with higher autonomy and adaptivity. The state of the art regarding the emergence of communication for robot swarms has mostly focused on offline evolutionary approaches, which showed that signaling and communication can emerge spontaneously even when not explicitly promoted. However, these approaches do not lead to complex, language-like communication skills, and signals are tightly linked to environmental and/or sensory-motor states that are specific to the task for which communication was evolved. To move beyond current practice, we advocate an approach to emergent communication in robot swarms based on language games. Thanks to language games, previous studies showed that cultural self-organization-rather than biological evolution-can be responsible for the complexity and expressive power of language. We suggest that swarm robotics can be an ideal test-bed to advance research on the emergence of language-like communication. The latter can be key to provide robot swarms with additional skills to support self-organization and adaptivity, enabling the design of more complex collective behaviors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|