Both passenger demand and service supply are among the most important factors that determine performance of urban rail transit system. It is not easy to find out optimal solution for match between with traditional methods, due complexity combinatorial intelligent - matching problem. In order get comprehensively degree, this paper transforms multi-criteria problem into distributed artificial int...

This article aims to use a bargaining power model reduce moral hazard—in the form of entrepreneurial effort shirking—and derive an optimum sharing ratio Profit and Loss Sharing (PLS) contract that involves Venture Capitalist Entrepreneur. The reveals following interesting findings. First, under complete information—where has - offers entrepreneur profit is less than her capital contribution rat...

Multiscale modeling is used to represent biological systems with increasing frequency and success. Multiscale models are often hybrids of different modeling frameworks and programming languages. We present the MATLAB-NetLogo extension (MatNet) as a novel tool for multiscale modeling. We demonstrate the utility of the tool with a multiscale model of Pseudomonas aeruginosa biofilm formation that ...

Simulation transparency is becoming more crucial in the decision making process when quantitative computer tools are used to justify some strategies. The coloured petri net (CPN) formalism is a promising modelling approach to foster simulation transparency by means of state space traceability tools, which have been proven to be useful for modelling system dynamics with conflict patterns. E-gove...

Tuberculosis remains one of the world’s deadliest infectious diseases. About one-third of the world’s population is infected with tuberculosis bacteria. Understanding the dynamics of transmission at different spatial scales is critical to progress in its control. We present an agent-based model for tuberculosis epidemics in Barcelona, which has an observatory on this disease. Our model consider...

Cohen, March and Olsen's Garbage Can Model (GCM) of organizational choice represent perhaps the first ñ and remains by far the most influential ñagent-based representation of organizational decision processes. According to the GCM organizations are conceptualized as crossroads of time-dependent flows of four distinct classes of objects: 'participants,' 'opportunities,' 'solutions' and 'problems...

This paper reports on a user study of a computer-aided learning environment for Materials Science. “MaterialSim” is an agentbased set of microworlds built in the NetLogo modeling environment, for investigating crystallization, solidification, metallic grain growth and annealing. Six undergraduate students enrolled in an introductory Materials Science course participated in the study, in which t...

Distributed constraint satisfaction problems (DisCSPs) are among the widely endeavored problems using agent-based simulation. Fernandez et al. formulated sensor and mobile tracking problem as a DisCSP, known as SensorDCSP In this paper, we adopt a customized ERE (environment, reactive rules and entities) algorithm for the SensorDCSP, which is otherwise proven as a computationally intractable pr...

We have been trying to show our disaster simulation outputs to people in an immersive virtual reality(VR) environment. Because we believe that the cooperation of residents is important for reducing the damage of the disaster. The tsunami runup is simulated with considering the buildings based on nonlinear dispersive wave theory by stabilized FEM. The result is visualized by using a visualizatio...

In this paper, we introduce an mobile agent framework with proactive load balancing for ambient intelligence (AmI) environments. One of the main obstacles of AmI is the scalability in which the openness of AmI environment introduces dynamic resource requirements on agencies. To mediate this scalability problem, our framework proposes a load balancing module to proactively analyze the resource c...