On the abundance of energy sources and evolution of collective swarm in auto-constructive artificial life

A. R. Adzni, and Teo, Jason Tze Wi and Azali Saudi, (2007) On the abundance of energy sources and evolution of collective swarm in auto-constructive artificial life. In: 12th International Symposium on Artificial Life and Robotics (AROB), 25-27 January 2007, Oita, Japan.

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Abstract

We demonstrated a collective swarm of flying agents simulated in Breve auto-constructive artificial life, where their behavior is governed by its own simple set of programs expressed in Push programming language. Agents are programmed to seek the food sources to regrow their energy as a main goal to survive for the next generation, thus collective agents may be capable of reproducing their own children. In this paper, the main concepts we are trying to get across concern on how reproductive competence may be affected by the quantity of food energy moves through an environment. We performed 50 runs test per parameter setting and will eliminate at 6000 generations each run. From the result, we found that the more increasingly the quantity of food energy are injected would encourage the more increase in the percentage of reproductive competence achieved within 50 runs. The reproductive competence means the point in which generation agents are able to reproduce their own children for the next generation without any new agent been injected.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Artificial life, Auto-construction, Collective intelligence, Genetic programming, Parametric analyses, Swarm behavior
Subjects:?? QA75.5-76.95 ??
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:2789
Deposited By:IR Admin
Deposited On:18 Apr 2011 11:38
Last Modified:29 Dec 2014 16:37

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