Modelling and simulating entities that perceive the environment, reason upon their perceptions and certain background of knowledge, and act upon that environment is the burden of Multi Agent based Simulation (MABS). Agent based simulation can help to study the dynamic behavior of complex systems. It plays an important role in agent research as well as development of agent applications, and can ...

We develop a location analysis spatial model of firms’ competition in multicharacteristics space, where consumers’ opinions about the firms’ products are distributed on multilayered networks. Firms do not compete on price but only on location upon the products’ multi-characteristics space, and they aim to attract the maximum number of consumers. Boundedly rational consumers have distinct ideal ...

Agent-based modeling is used to study many kind of complex systems in different fields such as biology, ecology, or sociology. Visualization of the execution of a such complex systems is crucial in the capacity to apprehend its dynamics. The ever increasing complexification of requirements asked by the modeller has highlighted the need for more powerful tools than the existing ones to represent...

In the Near East, nomadic hunter-gatherer societies became sedentary farmers for the first time during the transition into the Neolithic. Sedentary life presented a risk of isolation for Neolithic groups. As fluid intergroup interactions are crucial for the sharing of information, resources and genes, Neolithic villages developed a network of contacts. In this paper we study obsidian exchange b...

Taken complex adapti ve systems (CAS) theory into cluster innovation research, this investigation focuses on the agents of cluster innovation network. And it uses network structure variables and innovation agents’ behavior to study the relationship between cluster innovation network structure and innovation capability based on CAS’s echo model and the reverse simulation method. After summarize ...

This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodology permits to engineer dynamic multi-level agent-based models, to represent complex systems over several scales and domains of interest. Its goal is to simulate a phenomenon using dynamically the lightest representatio...

Scientific research is a vanguard domain of human activity. Researchers aim for a systematic, objective approach, but also for pushing forward the boundaries of knowledge through the use of ever-more advanced instruments and techniques. Computer simulations represent such scientific instruments, capable of harvesting information in response to questions beyond the scope of traditional experimen...

Component-based software development (CBSD) has gained recognition as one of the key technologies for the construction of high-quality, evolvable, large complex systems in a timely and affordable manner. In CBSD, the development effort becomes one of gradual discovery about the components, their capabilities and the incompatibilities that arise when they are used in concert. Thus, trading becom...

to answer challenge of targeted and controlled drug release in oral delivery various materials were studied by different methods. in the present paper, controlled metal based drug (pd(ii) complex) release manner of β‑lactoglobulin (β-lg) nanoparticles was investigated using mathematical drug release model in order to design and production of a new oral drug delivery system for gastrointestinal ...