Multi-agents based simulations (MABS) have been successfully used to model complex systems in multiple areas. However, a pitfall of MABS is that their complexity increases with the number of agents and behaviors considered in the model. For average and large systems, different phenomena can simultaneously occur at different intermediate levels and influence each other [2]. For instance, groups ...

Over the past decades, advances in Artificial Intelligence (AI) techniques have investigated the modelling of complex systems. In particular, the use of Multi-Agent Systems (MAS) opened new possibilities for studying different domains using social simulation. In the present work we have implemented and empirically evaluated a Multi-Agent Based Social Simulation (MABSS) system to support the for...

Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization to economics of the basic complex adaptive systems paradigm. This paper outlines the main objectives and defining characteristics of the ACE methodology, and discusses several active research areas. 2002 Elsevier Science In...

Research led by Professor Chapman at the Knowledge Based Engineering (KBE) lab has resulted in a thriving partnership with the aerospace division of Rolls-Royce. KBE research captures domain-based knowledge and integrates it into refined computational models with automated tools to enhance design processes for engineering complex systems. This research has contributed to important improvements ...

Research problems in ICT networks often comprise coordination problems of information infrastructures and require state-of-the-art methods of coping with complex system dynamics. Especially, relevant economic network analysis is increasingly challenged to transcend “reductionist economic agendas” and incorporate findings from other disciplines. Recent trends of trying to bridge existing theoret...

In this paper, the finite element analysis of two-dimensional linear viscoelastic problems is performed using quadrilateral complex Fourier elements and, the results are compared with those obtained by quadrilateral classic Lagrange elements. Complex Fourier shape functions contain a shape parameter which is a constant unknown parameter adopted to enhance approximation’s accuracy. Since the iso...

HIV/AIDS spread depends upon complex patterns of interaction among various subsets emerging at population level. This added complexity makes it difficult to study and model AIDS and its dynamics. AIDS is therefore a natural candidate to be modeled using agent-based modeling, a paradigm well-known for modeling Complex Adaptive Systems (CAS). While agent-based models are well-known to effectively...

In this paper, we explore the effects of the introduction of localised externalities through interaction structures upon local and global properties of the simplest market model: the discrete choice model with a single homogeneous product and a single seller (monopoly). Following Kirman, the resulting market is viewed as a complex interactive system. We use an ACE (Agent based Computational Eco...

Macrocyclic heterobinuclear Zn(II)–Cu(II) complexes with phenol based dicompartmental ligands possessing contiguous hexa- and penta-coordination sites were prepared by a stepwise procedure. The ligands include similar N4O2 and dissimilar N(imine)3O2 and N(amine)3O2 coordination sites sharing two phenolic oxygen atoms. The six-coordination site comprises two pyridyl pendant arms on the amine nit...