Organizers:
- Brian Cox, gentleman scientist
- Franck Vernerey, University of Colorado Boulder
- Christian Peco, Pennsylvania State University
- M Taher A Saif, University of Illinois Urbana-Champaign
Description:
We seek papers that show how relatively simple mechanisms and rules governing discrete active agents can give rise to complex and sometimes unexpected emergent behavior in large populations.
Rules (and their underlying mechanisms) that are relevant to the symposium are broad in nature, including but not limited to those based on chemical factors, on agent motions and mechanics, or on electrical fields.
Agents capable of emergent behavior span a wide variety of length and time scales, from molecules (e.g., self-organization in the cytoskeleton) to living cells (e.g., morphogenesis in epithelial tissues or biofilms) to macroscopic systems (e.g., swarming insects, birds, fish, or robot swarms).
We welcome contributions that explore the problem of discovering useful rules for agents through theoretical approaches (e.g., simulations and/or analytical methods) or through the acquisition and analysis of experimental data.
Topics of interest:
- The use of AI to extract agent rules from complex data for biological or synthesized populations.
- Demonstrations of universality between rules that might govern different systems.
- Any system in which rules can be controlled and varied to explore consequences for population-scale outcomes, as in robots, synthetic molecular systems, or even living systems.
We welcome contributions that explore the problem of discovering useful rules for agents through theoretical approaches (e.g., simulations and/or analytical methods) or through the acquisition and analysis of experimental data.