Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Goal-Seeking Behavior in a Connectionist Model
Artificial Intelligence Review
Group Behaviors for Systems with Significant Dynamics
Autonomous Robots
Modeling Group Foraging: Individual Suboptimality, Interference, and a Kind of Matching
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Parallel simulation of UAV swarm scenarios
WSC '04 Proceedings of the 36th conference on Winter simulation
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Agents that forage in groups must handle the problem of resource sharing. In this study, we present a selective overview of group and individual foraging behavior and propose an agent-based model to unify these methodologies, enabling the exploration of plausible causal mechanisms and novel hypothesis generation. Despite its place in behavioral science, little work has been done with the generalized matching equation as it pertains to simulation work. Our model uses psychologically plausible models of memory for time and decision rules. The results of preliminary simulation research suggest that the model is sensitive to changes in pay-off density and correctly replicates Ideal Free Distributions.