Scenario planning is a method for learning about the future by understanding the nature and impact of the most uncertain and important driving forces affecting that future. However, most scenarios, being mostly stories, lack validation, dynamism and fail to acknowledge all relations between actors, activities and resources. In this paper, we propose an agent-based model for scenario development...

Today’s society is characterised by the ubiquitousness of hardware and software systems on which we rely on day in, day out. They reach from transportation systems like cars, trains and planes over medical devices at a hospital to nuclear power plants. Moreover, we can observe a trend of automation and data exchange in today’s society and economy, including among others the integration of cyber...

This paper introduces a multi-environment simulation framework for building self-organizing multi-agent systems. From an engineering point of view, the multienvironments approach brings the necessary modularity and separation of concerns to build self-organizing multi-agent systems that address hierarchy, interoperability and multi-aspects problems and domains. Our framework provides higher abs...

Typical approach to agent-oriented programming results in slight limitations of agent’s usability. One agent is typically usable only in single environment type and for a small, strictly given set of tasks. We introduce a new term Universal Knowledge-based Agent (UKA) and propose an architecture and needed set of algorithms, providing complete methodology for its implementation. One single impl...

The article studies knowledge in multiagent systems where data available to the agents may have small errors. To reason about such uncertain knowledge, a formal semantics is introduced in which indistinguishability relations, commonly used in the semantics for epistemic logic S5, are replaced with metrics to capture how much two epistemic worlds are different from an agent’s point of view. The ...

Many approaches to BDI agent modeling permit the agent developers to interweave the levels of plans and goals. This is possible through the adoption of new goals inside plans. These goals will have plans of their own, and the definition can extend on many levels. From a software development point of view, the resulting complexity can render the agents’ behavior difficult to trace, due to the co...

Since 1990, intelligent agents have been broadly used in complex, dynamic, and open applications such as production planning, robotics, and in searching the Internet. Though theoretical research as well as real implementation of agent technology are common, there is no commonly agreed-upon definition of intelligent agents. From an Artificial Intelligence point of view, an intelligent agent is a...

The widespread use of social networks is modifying our way to live our cities and to plan/decide our activities. The long-term goal of our research is to provide users with group recommendation and decision support systems for smart city applications that rely on the analysis of the users’ behaviors on social networks/media. In this paper, we provide an overview of the group recommendation lite...

More and more, Intrusion Detection Systems (IDSs) are seen as an important component in comprehensive security solutions. Thus, IDSs are common elements in modern infrastructures to enforce network policies. So far, plenty of techniques have been applied for the detection of intrusions, which has been reported in many surveys. This work focuses the development of network-based IDSs from an arch...

* This project is supported by High-Tech Programme 863 (2001AA113121) and National Natural Science Foundation of China (90104021). ABSTRACT Establishing grids is an important undertaking in developing scalable distributed infrastructures. In this paper we have proposed a model for agent-based grid computing from the implement point of view. Based on the model agent-based grid computing system A...