An agent-based implementation of the optimal foraging patch choice model for multiple individuals 2.0.0
patch_choice_enhanced.nlogox is an agent-based model (ABM) implementing the patch choice model from optimal foraging theory (OFT) in a multi-agent simulation environment. It extends the classical single-forager, equation-based Marginal Value Theorem (MVT) formulation to support multiple competing foragers, demographic processes, bounded memory, and stochastic resource dynamics on a spatially heterogeneous landscape.
Release Notes
patch_choice_enhanced is an agent-based model (ABM) implementing the patch choice model from optimal foraging theory (OFT) in a multi-agent simulation environment. It extends the classical single-forager, equation-based Marginal Value Theorem (MVT) formulation to support multiple competing foragers, demographic processes, bounded memory, and stochastic resource dynamics on a spatially heterogeneous landscape.
It is a further enhancement of an early ABM implementation of the patch choice model:
C Michael Barton (2013, April 27). “Patch choice model from Optimal Foraging Theory (Human Behavioral Ecology)” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/2224/releases/1.0.0/
This is an abstract, theoretical model without realistic parameter values. However, it could be modified to take realistic value for energetic costs and caloric returns of foraging, and implemented in a more realistic landscape.
