205,532 research outputs found

    Applications of agent architectures to decision support in distributed simulation and training systems

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    This work develops the approach and presents the results of a new model for applying intelligent agents to complex distributed interactive simulation for command and control. In the framework of tactical command, control communications, computers and intelligence (C4I), software agents provide a novel approach for efficient decision support and distributed interactive mission training. An agent-based architecture for decision support is designed, implemented and is applied in a distributed interactive simulation to significantly enhance the command and control training during simulated exercises. The architecture is based on monitoring, evaluation, and advice agents, which cooperate to provide alternatives to the dec ision-maker in a time and resource constrained environment. The architecture is implemented and tested within the context of an AWACS Weapons Director trainer tool. The foundation of the work required a wide range of preliminary research topics to be covered, including real-time systems, resource allocation, agent-based computing, decision support systems, and distributed interactive simulations. The major contribution of our work is the construction of a multi-agent architecture and its application to an operational decision support system for command and control interactive simulation. The architectural design for the multi-agent system was drafted in the first stage of the work. In the next stage rules of engagement, objective and cost functions were determined in the AWACS (Airforce command and control) decision support domain. Finally, the multi-agent architecture was implemented and evaluated inside a distributed interactive simulation test-bed for AWACS Vv\u27Ds. The evaluation process combined individual and team use of the decision support system to improve the performance results of WD trainees. The decision support system is designed and implemented a distributed architecture for performance-oriented management of software agents. The approach provides new agent interaction protocols and utilizes agent performance monitoring and remote synchronization mechanisms. This multi-agent architecture enables direct and indirect agent communication as well as dynamic hierarchical agent coordination. Inter-agent communications use predefined interfaces, protocols, and open channels with specified ontology and semantics. Services can be requested and responses with results received over such communication modes. Both traditional (functional) parameters and nonfunctional (e.g. QoS, deadline, etc.) requirements and captured in service requests

    Ambient intelligence in emotion based ubiquitous decision making

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    As the time goes on, it is a question of common sense to involve in the process of decision making people scattered around the globe. Groups are created in a formal or informal way, exchange ideas or engage in a process of argumentation and counterargumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. In this work it is proposed an agent-based architecture to support a ubiquitous group decision support system, i.e. based on the concept of agent, which is able to exhibit intelligent, and emotional-aware behaviour, and support argumentation, through interaction with individual persons or groups. It is enforced the paradigm of Mixed Initiative Systems, so the initiative is to be pushed by human users and/or intelligent agents

    Ambient intelligence in emotion based ubiquitous decision making

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    As the time goes on, it is a question of common sense to involve in the process of decision making people scattered around the globe. Groups are cre- ated in a formal or informal way, exchange ideas or engage in a process of argumentation and counter- argumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. In this work it is proposed an agent-based architecture to support a ubiquitous group decision support system, i.e. based on the concept of agent, which is able to exhibit intelli- gent, and emotional-aware behaviour, and support argumentation, through interaction with individual persons or groups. It is enforced the paradigm of Mixed Initiative Systems, so the initiative is to be pushed by human users and/or intelligent agents

    Negotiation Support Systems and Software Agents in E-Business Negotiations

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    Experiments with negotiation software agents’ in frictionless commerce indicate potential for destructive behaviour. Most of the agents are capable of engaging in auctions and have no ability to conduct complex business negotiations. Recognizing that people and software agents operate in different although overlapping spheres we propose an environment in which negotiation and decision support systems work together with software agents in electronic negotiations. Based on our experiences with the Inspire system we constructed an environment comprising software agents, and negotiation and decision support systems. One agent monitors the process, facilitates the use of Inspire, interprets the negotiators’ activities and provides methodological advice. The architecture of this environment is based on the separation of user support functions from the autonomous software activities, separation of the support for individuals from facilitation and mediation; and scalability and the ability to provide linkages with the existing software

    Механизм интеллектуальных агентов для системы автоматизации управления бизнес-процессами

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    Рассмотрены принципы реализации систем автоматизации управления бизнес-процессами предприятия на основе мультиагентной децентрализованной архитектуры. Предложен подход к управлению обеспечивающим бизнес-процессом на основе механизма интеллектуальных агентов для системы поддержки принятия решений.The main principles for the computerized system based on multi agent decentralized architecture for the business processes management are described. An approach to the business process management based on the intelligent agents for the decision support system is suggested.Розглянуто принципи реалізації систем автоматизації управління бізнес-процесами підприємства на основі мультиагентної децентралізованої архітектури. Запропоновано підхід до управління забезпечує бізнес-процесом на основі механізму інтелектуальних агентів для системи підтримки прийняття рішень

    Multi-agent Manufacturing Execution System (MES):Concept, architecture & ML algorithm for a smart factory case

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    Smart factory of the future is expected to support interoperability on the shop floor, where information systems are pivotal in enabling interconnectivity between its physical assets. In this era of digital transformation, manufacturing execution system (MES) is emerging as a critical software tool to support production planning and control while accessing the shop floor data. However, application of MES as an enterprise information system still lacks the decision support capabilities on the shop floor. As an attempt to design intelligent MES, this paper demonstrates one of the artificial intelligence (AI) applications in the manufacturing domain by presenting a decision support mechanism for MES aimed at production coordination. Machine learning (ML) was used to develop an anomaly detection algorithm for multi-agent based MES to facilitate autonomous production execution and process optimization (in this paper switching the machine off after anomaly detection on the production line). Thus, MES executes the ‘turning off’ of the machine without human intervention. The contribution of the paper includes a concept of next-generation MES that has embedded AI, i.e., a MES system architecture combined with machine learning (ML) technique for multi-agent MES. Future research directions are also put forward in this position paper

    Multi-agent blackboard architecture for supporting legal decision making

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    Our research objective is to design a system to support legal decision-making using the multi-agent blackboard architecture. Agents represent experts that may apply various knowledge processing algorithms and knowledge sources. Experts cooperate with each other using blackboard to store facts about current case. Knowledge is represented as a set of rules. Inference process is based on bottom-up control (forward chaining). The goal of our system is to find rationales for arguments supporting different decisions for a given case using precedents and statutory knowledge. Our system also uses top-down knowledge from statutes and precedents to interactively query the user for additional facts, when such facts could affect the judgment. The rationales for various judgments are presented to the user, who may choose the most appropriate one. We present two example scenarios in Polish traffic law to illustrate the features of our system. Based on these results, we argue that the blackboard architecture provides an effecive approach to model situations where a multitude of possibly conflicting factors must be taken into account in decision making. We briefly discuss two such scenarios: incorporating moral and ethical factors in decision making by autonomous systems (e.g. self-driven cars), and integrating eudaimonic (well-being) factors in modeling mobility patterns in a smart city

    USE OF E-PARTICIPATION TOOLS FOR SUPPORT OF POLICY MODELLING AT REGIONAL LEVEL

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    This paper describes application-specific and technology specifications related to ICT-based approach for the support of policy modelling as proposed in the EU funded FP7 ICT OCOPOMO project. In this particular approach strategic planning is supported by a combination of narrative scenarios, agent-based modelling, and e-Participation tools (all integrated via an ICT e-Governance platform). The policy model for a given domain is created iteratively using cooperation of several stakeholder groups (decision makers, analysts, companies, civic society, and the general public). In this paper we will provide principles and key concepts of collaborative policy modelling, but the main focus is on the discussion of high-level architecture of ICT tools and software components, envisioned platform functionality and preliminary view of detailed architecture and technological details for implementation and integration of software components. An overall approach is presented also from the view of a particular pilot application, built around development of a strategy of renewable energy use. The process of development of a new strategy is described using standard BPMN. The process models correspond to AS-IS and TO-BE (i.e. after incorporation of scenario generation and policy modelling) situations
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