Quasi-PSO Algorithm for Modeling Foraging Dynamics in Social Mammals

Author:

Campenní Marco1,Cecconi Federico1

Affiliation:

1. Institute of Cognitive Sciences and Technologies (ISTC), Italy

Abstract

In this paper, the authors present a computational model of a fundamental social phenomenon in the study of animal behavior: the foraging. The purpose of this work is, first, to test the validity of the proposed model compared to another existing model, the flocking model; then, to try to understand whether the model may provide useful suggestions in studying the size of the group in some species of social mammals.

Publisher

IGI Global

Reference31 articles.

1. Campenni', M., & Cecconi, F. (2009). Collective foraging vs. distributed foraging dilemma in evolutionary robotics framework: an embodied and situated implementation of PSO (particle swarm optimization) algorithm. In Proceedings of the 7th European conference on Computing and Philosophy.

2. On Foraging Time Allocation in a Stochastic Environment

3. Ecological Determinants of Group Sizes of Foraging Lions

4. Cecconi, F. (2008). Agent based simulation for social studies (Tech. Rep.). In Proceedings of the 10th European Agent Systems Summer School, Lisbon, Portugal.

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