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Area of Science:

  • Behavioral Ecology
  • Cognitive Ecology
  • Network Science

Background:

  • Collectives can outperform individuals in information processing.
  • Fission-fusion dynamics involve dynamic group structures and information sharing.
  • Complementary knowledge sharing is crucial for navigating heterogeneous environments.

Purpose of the Study:

  • To investigate how spider monkeys share foraging information in fission-fusion dynamics.
  • To analyze the structure of social interactions and information overlap within spider monkey groups.
  • To model collective information processing in dynamic environments using network analysis.

Main Methods:

  • Analysis of partial overlaps in individual spider monkey core ranges to represent seasonal knowledge.
  • Identification of sets of individuals with complementary knowledge overlaps.
  • Utilizing simplicial complexes to model higher-order interactions and information sharing patterns.

Main Results:

  • Complementary foraging knowledge was identified among sets of individuals.
  • Simplicial complex structures revealed holes in various dimensions, indicating information complementarity.
  • The study demonstrated a balance between redundant and unique knowledge within the group.

Conclusions:

  • Complex spatial networks in fission-fusion dynamics facilitate adaptive collective foraging information processing.
  • Spider monkey social structures enable efficient navigation of dynamic and heterogeneous environments.
  • Distributed information processing through social networks is a key adaptation for survival.