Open MAS Architecture. Providing Real Time Solutions

This presents a study in which a high level abstract architecture was used to design open multi-agent systems and virtual organizations that offer services with temporal constraints implemented by Real-Time Agents. The results will demonstrate how the proposed architecture, with features that make it suitable for development of open MAS (Multi-Agent Systems), allows us to add specific functionality and real time services

Incorporating Temporal Constraints in the Analysis Task of a Hybrid Intelligent IDS

This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time processing and response. The original formulation of MOVICAB-IDS combines different Computational Intelligence techniques within a multiagent system to perform Intrusion Detection in dynamic computer networks. This work extends the initial proposal by incorporating temporal constraints in the analysis step of the Intrusion Detection process, when a neural projection model is applied

Approaching Real-Time Intrusion Detection through MOVICAB-IDS

This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time processing and response. The original formulation of MOVICAB-IDS combines artificial neural networks and case-based reasoning within a multiagent system to perform Intrusion Detection in dynamic computer networks. The contribution of the anytime algorithm, one of the most promising to adapt Artificial Intelligent techniques to real-time requirements; is comprehensively presented in this work

Incorporating Temporal Constraints in the Planning Task of a Hybrid Intelligent IDS

Accurate and swift responses are crucial to Intrusion Detection Systems (IDSs), especially if automatic abortion mechanisms are running. In keeping with this idea, this work presents an extension of a Hybrid Intelligent IDS characterized by incorporating temporal control to facilitate real-time processing. The hybrid intelligent -IDS has been conceived as a Hybrid Artificial Intelligent System to perform Intrusion Detection in dynamic computer networks. It combines Artificial Neural Networks and Case-based Reasoning within a multiagent system, in order to develop a more efficient computer network security architecture. Although this temporal issue was taken into account in the initial formulation of this hybrid IDS, in this upgraded version, temporal restrictions are imposed in order to perform real/execution time processing. Experimental results are presented which validate the performance of this upgraded version

Agent-based virtual organization architecture

The purpose of this paper is to present the applicability of THOMAS, an architecture specially designed to model agent-based virtual organizations, in the development of a multiagent system for managing and planning routes for clients in a mall. In order to build virtual organizations, THOMAS offers mechanisms to take into account their structure, behaviour, dynamic, norms and environment. Moreover, one of the primary characteristics of the THOMAS architecture is the use of agents with reasoning and planning capabilities. These agents can perform a dynamic reorganization when they detect changes in the environment. The proposed architecture is composed of a set of related modules that are appropriate for developing systems in highly volatile environments similar to the one presented in this study. This paper presents THOMAS as well as the results obtained after having applied the system to a case study

Designing a goal-oriented smart-home environment

Nowadays, systems are growing in power and in access to more resources and services. This situation makes it necessary to provide user-centered systems that act as intelligent assistants. These systems should be able to interact in a natural way with human users and the environment and also be able to take into account user goals and environment information and changes. In this paper, we present an architecture for the design and development of a goal-oriented, self-adaptive, smart-home environment. With this architecture, users are able to interact with the system by expressing their goals which are translated into a set of agent actions in a way that is transparent to the user. This is especially appropriate for environments where ambient intelligence and automatic control are integrated for the user’s welfare. In order to validate this proposal, we designed a prototype based on the proposed architecture for smart-home scenarios. We also performed a set of experiments that show the proposed architecture for human-agent interaction increases the number and quality of user goals achieved

An execution time planner for the ARTIS agent architecture

The purpose of this paper is to present an approach for integrating new complex deliberative behaviours in a real-time agent architecture, specifically in the ARTIS agent architecture, which is specially designed for hard real-time environments. The new deliberative agent proposed remakes its plans at runtime conserving the system integrity and its real-time feature. The proposed system has been successfully tested in a robotic test environment. This environment consisted of the automated management of the internal and external mail in a department plant, where the main goal was to ease the workload of a mail-robot. The results obtained increased the flexibility and adaptability of the real-time agent while retaining the temporal restrictions

Physical Agents

This chapter reviews different approaches for the development of new models, architectures and real applications of physical agents. The chapter starts by identifying this kind of agents and their main requirements. After that, it presents one approach to allow deliberation while the world changes, and some specific applications that have been implemented by different participants of the AgentCities.ES network: a multi-agent system architecture to control a single robot, a submarine robot, and a container terminal management system for the port of Valencia

Temporal bounded reasoning in a dynamic case based planning agent for industrial environments

This paper presents a planning model integrated within a TB-CBP-BDI real-time intelligent agent that provides special abilities for planning in a predictable time, which makes its use especially appropriate in systems where certain temporal constraints must be satisfied. The proposed TB-CBP-BDI real-time agent is the core of a multi-agent system that manages security issues in industrial environments, where time constraints are a key factor. The proposed planning model facilitates the automatic temporal bounded reorganization of tasks to provide the system with adaptation abilities to the changes that occur in the environment. The planning mechanism focuses on optimizing industrial and manufacturing processes, specifically the tasks performed by the available security entities in these environments. Additionally, several Ambient Intelligence technologies such as QR-CODES, GPS, Wi-Fi and HSDPA are used to develop the intelligent environment that was tested and analyzed in this study

Improving the Tracing System in PANGEA Using the TRAMMAS Model

This paper presents the integration of the tracing model TRAMMAS in an agent platform called PANGEA. This platform allows to developed multiagent systems modeled as Virtual Organizations. The concepts of roles, organizations and norms are fully supported by the platform assuring flexibility and scalability. Before TRAMMAS, this platform uses a Sniffer Agent to trace the information reducing its scalability as a centralized mechanism. TRAMMAS proposes the use of event tracing in multiagent systems, as an indirect interaction and coordination mechanism to improve the amount and quality of the information that agents can perceive in order to fulfill their goals more efficiently. Moreover, the event tracing system can help reducing the amount of unnecessary information