Collective evolution learning model for vision-based collective motion with collision avoidance.
Collective motion (CM) takes many forms in nature; schools of fish, flocks of birds, and swarms of locusts to name a few. Commonly, during CM the individuals of the group avoid collisions. These CM and collision avoidance (CA) behaviors are based on input from the environment such as smell, air pres...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0270318 |
| _version_ | 1797809709860782080 |
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| author | David L Krongauz Teddy Lazebnik |
| author_facet | David L Krongauz Teddy Lazebnik |
| author_sort | David L Krongauz |
| collection | DOAJ |
| description | Collective motion (CM) takes many forms in nature; schools of fish, flocks of birds, and swarms of locusts to name a few. Commonly, during CM the individuals of the group avoid collisions. These CM and collision avoidance (CA) behaviors are based on input from the environment such as smell, air pressure, and vision, all of which are processed by the individual and defined action. In this work, a novel vision-based CM with CA model (i.e., VCMCA) simulating the collective evolution learning process is proposed. In this setting, a learning agent obtains a visual signal about its environment, and throughout trial-and-error over multiple attempts, the individual learns to perform a local CM with CA which emerges into a global CM with CA dynamics. The proposed algorithm was evaluated in the case of locusts' swarms, showing the evolution of these behaviors in a swarm from the learning process of the individual in the swarm. Thus, this work proposes a biologically-inspired learning process to obtain multi-agent multi-objective dynamics. |
| first_indexed | 2024-03-13T06:56:49Z |
| format | Article |
| id | doaj.art-4f3ce604c3944475ae667345c68c2601 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-13T06:56:49Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-4f3ce604c3944475ae667345c68c26012023-06-07T05:32:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01185e027031810.1371/journal.pone.0270318Collective evolution learning model for vision-based collective motion with collision avoidance.David L KrongauzTeddy LazebnikCollective motion (CM) takes many forms in nature; schools of fish, flocks of birds, and swarms of locusts to name a few. Commonly, during CM the individuals of the group avoid collisions. These CM and collision avoidance (CA) behaviors are based on input from the environment such as smell, air pressure, and vision, all of which are processed by the individual and defined action. In this work, a novel vision-based CM with CA model (i.e., VCMCA) simulating the collective evolution learning process is proposed. In this setting, a learning agent obtains a visual signal about its environment, and throughout trial-and-error over multiple attempts, the individual learns to perform a local CM with CA which emerges into a global CM with CA dynamics. The proposed algorithm was evaluated in the case of locusts' swarms, showing the evolution of these behaviors in a swarm from the learning process of the individual in the swarm. Thus, this work proposes a biologically-inspired learning process to obtain multi-agent multi-objective dynamics.https://doi.org/10.1371/journal.pone.0270318 |
| spellingShingle | David L Krongauz Teddy Lazebnik Collective evolution learning model for vision-based collective motion with collision avoidance. PLoS ONE |
| title | Collective evolution learning model for vision-based collective motion with collision avoidance. |
| title_full | Collective evolution learning model for vision-based collective motion with collision avoidance. |
| title_fullStr | Collective evolution learning model for vision-based collective motion with collision avoidance. |
| title_full_unstemmed | Collective evolution learning model for vision-based collective motion with collision avoidance. |
| title_short | Collective evolution learning model for vision-based collective motion with collision avoidance. |
| title_sort | collective evolution learning model for vision based collective motion with collision avoidance |
| url | https://doi.org/10.1371/journal.pone.0270318 |
| work_keys_str_mv | AT davidlkrongauz collectiveevolutionlearningmodelforvisionbasedcollectivemotionwithcollisionavoidance AT teddylazebnik collectiveevolutionlearningmodelforvisionbasedcollectivemotionwithcollisionavoidance |