Intelligent agent

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In artificial intelligence, an intelligent agent (IA) is an autonomous entity which observes and acts upon an environment (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is rational). Intelligent agents may also learn or use knowledge to achieve their goals. (Wikipedia.org)






Conferences related to Intelligent agent

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2020 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.


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Periodicals related to Intelligent agent

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


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Most published Xplore authors for Intelligent agent

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Xplore Articles related to Intelligent agent

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What's An Agent ... And What's So Intelligent About It?

IEEE Internet Computing, 1997

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Case based reasoning and intelligent agents

International Multi Topic Conference, 2002. Abstracts. INMIC 2002., 2002

None


A New Graphplan Method to Implement Partial Goals

2006 International Conference on Machine Learning and Cybernetics, 2006

Several new concepts are introduced, such as single satisfaction, synthesis satisfaction and sub-optimal plan. With those concepts a new algorithm based on Graphplan is presented. A lot of restrictions make the Graphplan planner far from the real world. The new algorithm inherits all the capabilities of Graphplan. Except this, it also adapted to other situations. For a problem, if Graphplan ...


Independent navigation and functioning of intelligent agents by social interaction

2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006

The focus of the effort underlying this paper is to evolve a co-operation based navigation scheme and a mechanism for ad hoc task division between members of a socially interactive swarm of intelligent robots that may find application in strategic warfare and in landmine detection and neutralization. A novel approach has been adopted for evolving a vision scheme for the ...


Towards efficient selection of Web services with reinforcement learning process

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005

As an emerging technology for implementing Web services over the Internet, mobile agent model has several advantages over the traditional RFC model. However, with the popularity of distributed networks (e.g. Internet), Web service providers tend to rely on external resources to complete certain tasks. This definitely increases the difficulty in locating appropriate service providers according to clients' requirements in the ...


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Educational Resources on Intelligent agent

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IEEE-USA E-Books

  • What's An Agent ... And What's So Intelligent About It?

    None

  • Case based reasoning and intelligent agents

    None

  • A New Graphplan Method to Implement Partial Goals

    Several new concepts are introduced, such as single satisfaction, synthesis satisfaction and sub-optimal plan. With those concepts a new algorithm based on Graphplan is presented. A lot of restrictions make the Graphplan planner far from the real world. The new algorithm inherits all the capabilities of Graphplan. Except this, it also adapted to other situations. For a problem, if Graphplan can't find a solution implementing all the goals, the new method outputs a best sub-optimal solution, which can implement part of goals. And these partial goals can satisfy user as much as possible. In many complex circumstances, relaxing partial rigid restrictions can solve a problem more expressive and more effective

  • Independent navigation and functioning of intelligent agents by social interaction

    The focus of the effort underlying this paper is to evolve a co-operation based navigation scheme and a mechanism for ad hoc task division between members of a socially interactive swarm of intelligent robots that may find application in strategic warfare and in landmine detection and neutralization. A novel approach has been adopted for evolving a vision scheme for the intelligent agents that endows each member of the swarm with a considerable level of autonomy thereby allowing for re-configurability of the swarm.

  • Towards efficient selection of Web services with reinforcement learning process

    As an emerging technology for implementing Web services over the Internet, mobile agent model has several advantages over the traditional RFC model. However, with the popularity of distributed networks (e.g. Internet), Web service providers tend to rely on external resources to complete certain tasks. This definitely increases the difficulty in locating appropriate service providers according to clients' requirements in the new scenario. To address this issue, we propose a reinforcement learning process based on the mobile agent model, which makes agents more efficient and intelligent in selecting Web service providers. Finally, an implementation of our prototype is presented

  • Developing a generic agent-based intelligent tutoring system

    We developed a generic teaching environment that uses agents to support learning. An agent platform developed in our research group is used. The system is generic in the sense that the cognition core (domain model, student model and instruction model) is separated from the exercise modules and user interfaces. The architecture allows different user interfaces. An application of the environment for nurse training has been implemented.

  • Research on e-Commerce Platform Based on the Distributed Intelligent Agent

    With the further expansion of business model, the traditional e-commerce platform can not meet the requirements of the development. Comparing with its own non-flexibility, non-mobility, non-compatibility and non-intelligence, this paper distributed intelligent agent based on the framework for e-commerce platform. According to the functional requirements of e-commerce system, we can identify the agent role in the system, such as customer agents, business agents, business centre agents and payment agents. The roles of these agents are intelligent, active, distributive and collaborative; they are also through the framework of multi-agent communication mechanism and intelligent decision- making mechanism for better coordination. Therefore, they are providing better information dissemination and transactions for the business; and also providing the real-time and flexible service for the costumers.

  • Notice of Retraction<br>Establishment of dynamic chain model and node intelligent agent in cold roll forming process

    After the improvement of the actual theory of cold roll forming and the practical rolling process, author present the concept of dynamic chain model and node model, research steel strip forming mechanism based on information system. The problems such as the forming process research, the effects of friction on the forming, analysis of stress and strain were studied in the new model. What is more important is the introduction of Intelligent Agent technology, it can intelligently handle problem.

  • Web Image Clustering Based on Multi-instance

    In image retrieval and annotation, multi-instance learning has been studied actively. Most of the methods solve the MIL problem in a supervised way. In this paper, we proposed two unsupervised frameworks for clustering multi- instance objects based on expectation maximization (EM) and iterative heuristic optimization respectively. For each framework, we introduced three new algorithms of finding users' interests on specific Web images without any manual labeled data. And comparative studies have shown the effectiveness of the proposed algorithms.

  • Modeling Mobility Agents in Supervisory and Controlling Systems Based on Nets within Nets

    The formal description of distributed supervisory and controlling systems can promote development efficiency and decline cost during the procedure of system design and implementation. The goal of our research is to develop a formal modeling methodology for supervisory and controlling systems that have artificially intelligent features. This approach is agent-based and central to the development of the model with mobility agents considering reactivity for real-time purpose and deliberation for optimal realization and other special problems for critical systems like intelligent transportation systems by a Petri nets based formal modeling language. By using nets within nets, a special high-level Petri nets, we investigate the concurrency of the system and the agent behaviors in one model without losing the needed abstraction. The synchronous channels are introduced to denote the communication and coordination among agents. Finally an example is given to illustrate that the formal method is feasible and valid



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