Comparing cooperative geometric puzzle solving in ants versus humans.

Tabea Dreyer, Amir Haluts, Amos Korman, Nir Gov, Ehud Fonio, Ofer Feinerman
Author Information
  1. Tabea Dreyer: Department of Physics of Complex Systems, Weizmann Institute of Science, 7610001 Rehovot, Israel. ORCID
  2. Amir Haluts: Department of Chemical and Biological Physics, Weizmann Institute of Science, 7610001 Rehovot, Israel. ORCID
  3. Amos Korman: Department of Computer Science, University of Haifa, 3303221 Haifa, Israel. ORCID
  4. Nir Gov: Department of Chemical and Biological Physics, Weizmann Institute of Science, 7610001 Rehovot, Israel. ORCID
  5. Ehud Fonio: Department of Physics of Complex Systems, Weizmann Institute of Science, 7610001 Rehovot, Israel.
  6. Ofer Feinerman: Department of Physics of Complex Systems, Weizmann Institute of Science, 7610001 Rehovot, Israel. ORCID

Abstract

Biological ensembles use collective intelligence to tackle challenges together, but suboptimal coordination can undermine the effectiveness of group cognition. Testing whether collective cognition exceeds that of the individual is often impractical since different organizational scales tend to face disjoint problems. One exception is the problem of navigating large loads through complex environments and toward a given target. People and ants stand out in their ability to efficiently perform this task not just individually but also as a group. This provides a rare opportunity to empirically compare problem-solving skills and cognitive traits across species and group sizes. Here, we challenge people and ants with the same "piano-movers" load maneuvering puzzle and show that while ants perform more efficiently in larger groups, the opposite is true for humans. We find that although individual ants cannot grasp the global nature of the puzzle, their collective motion translates into emergent cognitive skills. They encode short-term memory in their internally ordered state and this allows for enhanced group performance. People comprehend the puzzle in a way that allows them to explore a reduced search space and, on average, outperform ants. However, when communication is restricted, groups of people resort to the most obvious maneuvers to facilitate consensus. This is reminiscent of ant behavior, and negatively impacts their performance. Our results exemplify how simple minds can easily enjoy scalability while complex brains require extensive communication to cooperate efficiently.

Keywords

Grants

  1. 770964/EC | ERC | HORIZON EUROPE European Research Council (ERC)

MeSH Term

Ants
Animals
Humans
Problem Solving
Cognition
Cooperative Behavior
Male
Female
Adult

Word Cloud

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