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Aviation combat decision-making process has become a key issue in air battlement and puzzled many commanders and researchers several decades. This paper uses Agent-based modeling to simulate battlement scenes and use neural networks as an assistant before the commander make real decision. The paper use further “Cloud War” scenario as an example to show the usefulness of this methods. In the end, this...
This research highlights the need for more accurate wireless sensor network deployments (WSN) models to support decision-making. Specifically, it presents the effects of terrain variations on network connectivity in Wireless Sensor Networks (WSN) deployments. Through use of statistical hypothesis testing, visualization, and Analysis of Variance (ANOVA), results support significant difference in network...
Simulation of human flow in virtual reality systemplays an important part in the research of microscopic humanflow behaviour in disaster situations. But developing such simulationis a difficult work because of its inherent complexity. In thispaper, we proposed a multi-agent simulation to analyze humanflow characteristics in disaster affected area and the interactionmechanism among human or between...
El Yali National Reserve is a protected area that is priority number one for the National Forestry Corporation (CONAF). It is located in the V region of Chile, where the risk of wildfire is quite high. In this context, training actors involved in combating wildfire is a relevant issue. Under the simulation of serious video games, a simulator that allows this training was built, since it is not possible...
This paper reports a case study of co-operative, small-group, game-based learning by a cohort of undergraduates on a range of computing programmes, during the first trimester of their first year. Game-based learning in the form of a total-enterprise business simulation is presented here as a medium to promote self-efficacy and employability through teamwork, presentation skills and greater self-confidence,...
Virtual training is a relatively novel field in which human beings learn to perform certain tasks by repeatedly executing them in a virtual reality environment. To make such training environments more effective, the agent paradigm has proven to be a useful tool. By conceptualising a training system as a 'virtual tutor', the system may be able to support the trainee in a similar manner as human instructors...
Land use and cover change (LUCC) research is important to support insightful management of Earth's land use to avoid irreversible damage. However, LUCC is a complex process that relates the interaction between natural and social systems at different temporal and spatial scales. Nevertheless, the representation of different interaction patterns through agent-based modeling and multi-agent systems can...
Decision making processes in some contexts, such as construction of infrastructures, require the design of prospective experiments. These experiments are designed to test hypothesis raised in the design phase. Following an adaptive methodology, these experiments will feed new iterations. In many cases, the development of these experiments is so costly that they must be performed using simulators....
This paper reviews a simulation method in the context of supply chain management (SCM). SCM problem usually are complex and need some effective method like a simulation for modeling. This study focuses on simulation modeling and tools that have been discussed and practiced by previous researchers, practitioners and also academics. The used of simulation tools can be classified into three groups: spreadsheet...
As a famous game in the domain of game theory, both pervasive empirical studies as well as intensive theoretical analysis have been conducted and performed worldwide to research different public goods game scenarios. At the same time, computer game simulators are utilized widely for better research of game theory by providing easy but powerful visualization and statistics functionalities. However,...
Adversarial decision making is aimed at finding strategies for dealing with an adversary who observes our decisions and tries to learn our behaviour pattern. This contribution extends a simple mathematical model with strategies that vary along time, and motivates the use of heuristic search procedures to address the problem of finding good strategies within this new search space. The evaluation of...
Automation of clerical work has been advanced to a great extent. Organizational decision making activities are growing in a primary part of fund management work. Varieties of research have been done in the field of fund raising. Among these simulations are gaining the most attention, but so far it is not accepted by corporate managers. This paper introduces two different simulation techniques. The...
In order to get rid of the limit of traditional methods and provide a decision making reference for the supervision of securities organizations and the risk control of investors, A novel model based on SOM2W network (SOM with 2 winners self-organizing map) is proposed for assessment financial performance of the listed companies. In addition, a tabu-mapping method is proposed to avoid that the same...
Simulation and optimization techniques have been increasingly used in decision-making process of terminal logistics systems management in recent years. By analyzing the current status and existing problems of logistics system in an iron and steel enterprise's raw material terminal, a discrete event simulation model is built based on optimized measures with Arena software. Finally, the feasibility...
There are four different agents' personality, and we introduce them into Deffuant model, one of the models in opinion dynamics, to improve the evolution rules. First, we simulate it under single personality to prove that different types have different effect on opinion evolution. Second, we get the conclusion that it is difficult to achieve agreement among group members with large part of submissive...
Autonomous underwater vehicle (AUV) is developed as a powerful tool with capability of autonomous navigation to conduct benthal survey and exploration. It's a kind of expensive equipment and experimental data obtained in one voyage is also very important. So an on-board self-rescue system is indispensable to ensure AUV escaping from dangers and rising up to the surface safely. In this paper a self-rescue...
As the environment of manufacturing enterprises is becoming more complex and dynamic this requires powerful tools for the support of decisions in manufacturing and production planning. Simulation as one of those tools has been widely applied in manufacturing and logistics. However, the models used for simulation are incomplete because the human factor in terms of its decision making and behaviour...
Hybrid models of System Dynamics (SD) and Discrete Event Simulation (DES) in the construction industry aim to provide decision makers with more accurate analysis. However, there are certain issues that can limit the applicability of SD-DES hybrid models for real construction job situations. Meaningful Level of Change (MLC) is a concept that has been proposed to prevent the time advancing issue in...
During the study of abnormal capital flow, people can not access to a real financial transaction data as a result of many factors, therefore this article took the ways of intelligent agent role simulation, designed an agent decision-making model to verify the data collected. And from different perspectives the visualization of supervision to capital abnormal flow can be achieved.
Study of complex socioeconomic systems, such as policy response system, requires a sophisticated approach for modeling and simulation. Multi-agent system can be an effective tool to reason individual and group behaviors. The paper analyzes the socioeconomic environmental policy system with the compensation policy strategy. Using the Swarm-an agent based platform, a model is built to simulate the group...
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