How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task
Author:
Affiliation:
1. Technical University Munich, Munich, Germany
2. University of Magdeburg, Magdeburg, Germany
3. University of Madison-Wisconsin, Madison, Wisconsin
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3205455.3205646
Reference26 articles.
1. Evolution of Integrated Causal Structures in Animats Exposed to Environments of Increasing Complexity
2. Optimal group size in territorial animals
3. Ant system: optimization by a colony of cooperating agents
4. Evolving Self-Organizing Behaviors for a Swarm-Bot
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1. Automatic collective motion tuning using actor-critic deep reinforcement learning;Swarm and Evolutionary Computation;2022-07
2. Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation;ACM Transactions on Evolutionary Learning and Optimization;2022-06-30
3. Quantifying the Autonomy of Structurally Diverse Automata: A Comparison of Candidate Measures;Entropy;2021-10-28
4. Autonomous detection of collective behaviours in swarms;Swarm and Evolutionary Computation;2020-09
5. How cognitive and environmental constraints influence the reliability of simulated animats in groups;PLOS ONE;2020-02-07
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