| Autor: |
Garg, Ketika, Kello, Christopher T., Smaldino, Paul E. |
| Rok vydání: |
2022 |
| DOI: |
10.6084/m9.figshare.19493575.v1 |
| Popis: |
Search requires balancing exploring for more options and exploiting the ones previously found. Individuals foraging in a group face another trade-off: whether to engage in social learning to exploit the solutions found by others or to solitarily search for unexplored solutions. Social learning can better exploit learned information and decrease the costs of finding new resources, but excessive social learning can lead to over-exploitation and too little exploration for new solutions. We study how these two trade-offs interact to influence search efficiency in a model of collective foraging under conditions of varying resource abundance, resource density and group size. We modelled individual search strategies as Lévy walks, where a power-law exponent (μμ ≈ 2 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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