Many DNA base substitution models have been proposed to describe the evolution of short DNA sequences. Most of these models are special reversible time-continuous Markov chains on the DNA bases. A general reversible model for long genomic DNA sequences, which includes the previous models as special cases, is described in this paper. To estimate the model parameters from pairwise alignments, two...

Agent-based modeling is a new analytical method for the social sciences, but one that is quickly becoming popular. This short book explains what agent-based modeling is. It also warns of some dangers and describes typical ways of doing agent-based modeling. Finally, it offers a range of examples frommany of the social sciences. This first chapter begins with a brief overview of agent-based mode...

Intelligent agents are becoming one of the most important topics in distributed and autonomous decentralized systems, and there are increasing attempts to use agent technologies to develop large-scale commercial and industrial software systems. The complexity of such systems suggests a pressing need for system modeling techniques to support reliable, maintainable and extensible design. The miss...

Carbon nanostructures are famous structures which are used in several industries such as separation, treatment, energy storage (i.e. methane and hydrogen storage), etc. A successful modeling of activated carbon preparation is very important in saving time and money. There are some attempts to achieve the appropriate theoretical modeling of activated carbon preparation but most of them were almo...

Agents, in a multi agent system, communicate with each other through the process of exchanging messages which is called dialogue. Multi agent organization is generally used to optimize agents’ communications. Holonic organization demonstrates a self-similar recursive and hierarchical structure in which each holon may include some other holons. In a holonic system, lateral communication occurs b...

An agent is a computer system capable of flexible autonomous action in a dynamic, unpredictable and open environment. Agent technologies and approaches have the potential to greatly impact the lives and work of all of us. Some application domains where agent technologies will play a crucial role include: Ambient Intelligence, the seamless delivery of ubiquitous computing, continuous communicati...

Agent-based models (ABMs) are capable of constructing individual system components at different levels of representation to describe non-linear relationships between those components. Compared to a traditional mathematical modeling approach, agent-based models have an inherent spatial component with which they can easily describe local interactions and environmental heterogeneity. Furthermore, ...

Abstract: The implementation of government legislation, social responsibility, environmental concerns regarding the reduction of waste, hazardous material and other consumer residuals have made the competition between the firms stricter than ever and nowadays firms that want to survive need a more productive and innovative approach toward the financial aspects of their businesses.his pape...

The agent paradigm can be seen as an extension of the notion of (active) objects by concepts like autonomy, cooperation, and goal-oriented behavior. Mainstream object-oriented modeling techniques do not account for these agentspecific aspects. Therefore, dedicated techniques for agent-oriented modeling are required which are based on the concepts and notations of object-oriented modeling and ex...

Multi-agent predictive modeling is an essential step for understanding physical, social and team-play systems. Recently, Interaction Networks (INs) were proposed for the task of modeling multi-agent physical systems, INs scale with the number of interactions in the system (typically quadratic or higher order in the number of agents). In this paper we introduce VAIN, a novel attentional architec...