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In order to improve the flexibility and intelligence of flexible workflow, the CAS (Complex Adaptive System) theory is introduced into flexible workflow research. Based on the analogy analysis between CAS and flexible workflow and the multi Autonomic Objects (AO) flexible workflow, a complex adaptive multi-AOs flexible workflow model is proposed, then the stimulation-response model of AO is given,...
The technology of an intelligent fault diagnosis provides a new way for the reliability and safety of industrial systems, but, it can gradually no longer meet all demand to diagnose faults in complex systems by some existing solitary and static means, because of the equipments and functions complication in a complex industrial system. Considered with the characteristics of a fault diagnosis, a new...
With the rapidly development of the economic, environmental problem has become one of the most prominent problems of the society. Lake water environmental problem became more and more serious, and it had seriously effect on human health and the socio-economic sustainable development. It is a key project to find a more effective way of water pollution control. An intelligent decision support system...
The emergency evacuation is an important measure for the public safety. However, the insufficient facilities and complex environment of parks and public squares make public difficult to evacuation efficiently. This paper presents a new emergency evacuation system based on Multi-Agent framework and geographic information system (GIS), which can simulate human' s typical behaviors in multi-exit public...
Based on the CAS (complex adaptive system) theory, under the assumption that the supply chain' s basic function is to maximize the profit, the paper aims to study the dynamic relationship between supply chain' s individual behaviors and the evolution of itself as well as the relation with macro-industry. Based on SWARM simulation system, the agent behavior model is presented. The results of the simulation...
Traditional queueing research has concentrated mainly on design, performance and running of the service facility with customers arriving following a stochastic process. In this paper we develop a behavioral model of a queueing system including repeat (returning) customers using a combination of cellular automata models (CA) and genetic algorithms (GA). An agent based evolutionary approach using simulation...
In this paper, we present an approach of adaptive learning mechanism for game agents' real-time behavior control. This approach mainly focuses on how to generate game agent's adaptability in real-time. It is possible to apply our approach in complicated game character interactions by following the framework discussed in this paper. We consider the layered architecture, the behavior pattern and the...
Organization information system offers an effective method to deeply understand organization. Because the traditional organization model has not enough adaptability, a Role-Behavior-Ability organization model is designed to raise organization adaptability. The process of organization modeling is based on the theory and methods of organization semiotic. Using semantic analysis and norm analysis method,...
Self-organization of the intelligent agents is accomplished because each agent models other agents by observing their behavior. Agents have belief, not only about environment, but also about other agents. To study the proposed intelligent agent's learning and self-organizing abilities, in this paper, we explain the structure of an agent, which is designed by a Bayesian network and an influence diagram,...
Digital systems have been rapidly evolving within highly dynamic and unstructured environments, where the lack of a central authority forces entities to interact with each other through collaboration and negotiation. Digital agents often use Trust models in order to compute the level of trustworthiness of the partner they want to collaborate with. Unfortunately, due to the evolution speed of open...
Adopted by the method of evolutionary simulation game basing on ensemble module of Complex Multi-Agent System, the article builds a module of evolutionary simulation game-EGM. By making use of Swarm simulation software, we describe and define the module. We apply EGM to different symmetric game models and come out the result. It reveals that the initial probability of selection strategies and Gains...
Deny of service (DoS) detection problem is a common and annoying network difficulty, but for IEEE 802.11 standards it becomes even more troublesome. Addressing this issue, we introduce a new approach to promptly warn the user. The detection algorithm put forward, combines second generation of artificial immune systems, danger theory and multi-agent system. For the detection system, we used the dendritic...
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...
To tackle the problem of Information Systems (IS) evolution, conceptual modeling must not only represent the organizational environments of the IS, but also take into account the strategic objectives to understand the requirements of their development. In this paper we propose a business process oriented approach. This approach is based on Meta modeling, model driven architecture, mMulti-agent architecture...
The paper proposes the design model of WebGIS based on Web and MAS regarding the features of multi-source, heterogeneous structure and geospatial information and the complexity of the system. It introduces the architecture model of WebGIS based on MAS. It conducts a systematic analysis and design for the manager-agent of the model, meanwhile, presents a concrete design for the decision-modular and...
Agent-oriented design relies on key abstractions: goals, plans and actions. These abstractions are used by several agent modeling languages and methodologies to specify the many different multi-agent system (MAS) features. Nevertheless, there are some agency features that cannot be properly modularized using only these abstractions. The Aspect-Oriented Programming paradigm allows the modularization...
Complex adaptive system (CAS) theory is used to analyze the e-commerce system and the concept of e-commerce transaction network is proposed. The e-commerce transaction network can be viewed as a complex network which is constructed by transaction behaviors between buyers and sellers. Then we give a formal definition of the e-commerce transaction network and establish a multi-agent model for e-commerce...
This paper proposes a semantic information integration approach for agent-based electronic markets based on ontology-based technology, improved by the application and exploitation of the trust relationships captured by the social networks. We intent face the problem of the growth of e-commerce using software agents to support both customers and suppliers in buying and selling products. The diversity...
As handheld computing initiatives continue to proliferate, the portability and immediate communication properties of mobile devices influence the learning processes in interacting with peers, accessing resources and transferring data. This paper proposes a ubiquitous e-learning environment that can be used to provide customized learning. It utilizes a set of interacting intelligent agents that can...
It is necessary that forecasting the opponent's behavior effectively and exactly and then adopting corresponding strategies for MAS under dynamic environments to win in a competition. This paper brings forwards a new method of opponent's behavior forecast and realizes the multi-agent cooperation using this method. Finally, it is proved that the method is feasible and effective in RoboCup simulate...
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