Multi-Agent based modeling & simulation is an evolving paradigm for solving real life problems for solving real life problems for the last one decade. In this paper, we model the manually controlled Indian Railway to a multi agent based automated system which is robust in nature and provide a fully automated collision avoidance guarantee. We consider individual entity such as station, junction ...

Abstract It is an effective method to use Agent for modeling and simulation in a complex environment. The Repast Simphony development platform lays the foundation simulation. In this paper, model of system developed. Then paper constructs new electronic information based on principle composite adaptive system. uses different levels agents as base unit. Then, behavior relation at same level are ...

Simulation models are used in the design, development and evaluation of wireless communication systems. While basic network entities as Base Stations and users are always taken into account in such simulation modeling, a critical but currently underestimated factor that affects the simulated network behavior is the corresponding simulation model which represents the physical activities and the ...

This paper expresses the results of our research in developing a multi-agent system: FAQ-master as an intelligent Web information integration system based upon intelligent retrieval, filtering, integration, and ranking capabilities in order to provide highquality FAQ answers from the Web to meet the user information request. We are describing FAQ-master, discussing how it improves FAQ query qua...

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...

in knowledge-based economy, knowledge has a public good and non-rivalry nature. firms build their own knowledge stock not only by means of internal r&d and collaboration with partners, but also by means of previously spilled over knowledge of other firms and public research laboratories (such as universities). firms based on their absorptive capacity, and level of intra-industry and extra-i...