The aim of this paper is to gain the broad explanation of corruption using simple computational model. We elaborated further the model of corruption described previously in [4], with some additions in model's properties. We performed hundreds of experiments computationally using Swarm and constructed the explanation of corruption based upon these results. We show that corruption should be understood as complex social-phenomena, which relates not only with economical aspect, but also with many other social and anthropological aspects.

Human-computer inte raction has been the cause of the eme rging innovations in many fields, including in design and art, architectural, technological a rtifacts, and even traditiona l heritage. In the case of Indonesian traditional he ritages, the computation of fractal designs has been introduced to develop batik design -the genuine textile art and skill that becomes a symbol of Indonesian culture. The uniqueness of Batik, which depicte d in the richness of its motifs, is regarded as one of inte resting aspect to be researche d and innovated using computational techniques. Recent studies of batik motifs have discovered conjecture to the existence of fractal geometry in batik designs. This finding has given some inspiration of implementing certain fractal concepts, such esca pe-time fracta l (com plex plane) a nd iterated function system to generate batik motifs. We develop motif generator based upon the Collage Theorem by using Java TM platform. This software is equippe d by interface tha t can be use d by use r to generate basic patterns, which could be interprete d and painted as batik motif. E xperimentally, we found that computationally genera ted fractal motifs are appropriated to be implemented as batik motif. However, human made batik motifs are less detail and some of them diffe r significantly with the computationally generated ones for tools used to draw batik and human aesthetic constraints.

We continue some steps showing the distinctions and proximities of languages over statistical facts as it has been pioneered previously [3]. In the paper, we construct the homology tree from the distance matrix yielded from the transformation of some statistical aspects of the empirical observations into binary sequences in order to conform to the concepts of memetics [2]. The resulting visualizations show interesting facts and possibly challenge some further steps for the advancement of our understanding to the discourse of languages and ethnicities.

The paper statistically observed the recorded data of the series of social clashes and violence in Ambon, Indonesia in the period of social conflict between 1999-2004. The scaling laws are revealed and the power-law fitting procedures and analysis are conducted. The results also reviewed some findings in wars among countries in the worlds now well known as Richardson's Law. The paper also discussed the plausible explanations in the sense of possible underlying process of the famous self-organized criticality by reviewing the classic forest fire model. Some further sociological explorations in the sense of computational and agent-based model approaches are also conjectured.