Complex systems are pervasive in many fields of science and we encounter them everyday and everywhere in our life. Their examples include financial markets, highway transportation networks, telecommunication networks, human economies, social networks, immunological systems, living organisms, ant colonies, ect. The key feature of a complex system is that it is composed of large number of interconnected and interacting entities exhibiting much richer dynamical properties on global scale than they could be inferred from the properties and behaviors of its individual entities. Complex systems are studied in many areas of natural sciences, social sciences, engineering and mathematical sciences. An important part of these interdisciplinary studies forms discrete modeling. These models can be seen as the simplest laboratories to study phenomena exhibited by complex systems like self-organization processes, pattern formation, cooperation, adaptation, competition, attractors, or multi-scaling phenomena. The objective of this conference is to bring together researchers working on discrete modeling of complex systems and to provide a forum for exchange of ideas and presentation of results of their research.