Adaptive task weighting across density regimes

Investigate whether dynamically adjusting the task weighting coefficients (w_f for food efficiency, w_e for exploration coverage, and w_c for coordination events) improves performance across different agent density regimes in the decentralized multi-agent grid system.

Background

The experiments use fixed performance weights tuned for foraging tasks (w_e = 1, w_f = 15, w_c = 5). The authors note task-dependence and density effects that may warrant adaptive weighting strategies.

This open question seeks to determine whether density-aware, dynamically tuned objective weights can yield better performance and coordination outcomes than static configurations.