Investigation of A Collective Decision Making System of Different Neighbourhood-Size Based on Hyper-Geometric Distribution
This work addresses the problem of developing macroscopic stochastic equations from microscopic models in swarm intelligence research, but it appears incremental as it builds on existing approaches without claiming major breakthroughs.
The study tackled the challenge of modeling collective decision-making systems by investigating a system with microscopic rules resembling chemical reactions and using different group sizes, resulting in the derivation of a generalized analytical model based on hyper-geometric distribution.
The study of collective decision making system has become the central part of the Swarm- Intelligence Related research in recent years. The most challenging task of modelling a collec- tive decision making system is to develop the macroscopic stochastic equation from its microscopic model. In this report we have investigated the behaviour of a collective decision making system with specified microscopic rules that resemble the chemical reaction and used different group size. Then we ventured to derive a generalized analytical model of a collective-decision system using hyper-geometric distribution. Index Terms-swarm; collective decision making; noise; group size; hyper-geometric distribution