Conferences related to Artificial Intelligence

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2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.

  • 2013 IEEE International Conference on Systems, Man and Cybernetics - SMC

    SMC 2013 targets advances in Systems Science and Engineering Human-machine Systems and Cybernetics involving state-of-the-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies and emerging applications.

  • 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research, and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC2010) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC2009) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.


2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

Cognitive Informatics (CI) is a cutting-edge and multidisciplinary research field that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software engineering, knowledge engineering, cognitive robots, scientific philosophy, cognitive linguistics, life sciences, and cognitive computing.

  • 2012 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 11th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 12) focuses on the theme of e-Brain and Cognitive Computers.

  • 2011 10th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 10th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 11) focuses on the theme of Cognitive Computers and the e-Brain.

  • 2010 9th IEEE International Conference on Cognitive Informatics (ICCI)

    Cognitive Informatics (CI) is a cutting-edge and transdisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, neuropsychology, medical science, systems science, software engineering, telecommunications, knowledge engineering, philosophy, linguistics, economics, management science, and life sciences.

  • 2009 8th IEEE International Conference on Cognitive Informatics (ICCI)

    The 8th IEEE International Conference on Cognitive Informatics (ICCI 09) focuses on the theme of Cognitive Computing and Semantic Mining. The objectives of ICCI'09 are to draw attention of researchers, practitioners, and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2008 7th IEEE International Conference on Cognitive Informatics (ICCI)

    The 7th IEEE International Conference on Cognitive Informatics (ICCI 08) focuses on the theme of Cognitive Computers and Computational Intelligence. The objectives of ICCI 08 are to draw attention of researchers, practitioners and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2007 6th IEEE International Conference on Cognitive Informatics (ICCI)

  • 2006 5th IEEE International Conference on Cognitive Informatics (ICCI)


2013 ACS International Conference on Computer Systems and Applications (AICCSA)

This International Conference on Computer Systems and Applications (AICCSA) is the premier Computer Science and Engineering Conference in the Middle East and North Africa. It is held every other year in an Arab country and intends to enhance the participation and the contribution of the Arab world in Information Technologies and to maximize its benefits. In general, the scope of AICCSA includes all aspects of the theory and practice of computer science and information technology, but, depending on the needs, specific topics and/or issues might be prioritized.

  • 2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    An international conference that covers a broad range of information technology areas including Bioinformatics and Biomedical Engineering, Cloud and Grid Computing, Architecture and Systems, Databases, High Performance Computing, Reconfigurable and GPU Computing,Computer Networks and Security, Energy Efficient Computing, Wireless Systems and Sensor Networks.

  • 2010 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    AICCSA is the premier Computer Science and Engineering Conference in the Middle East and North Africa covering new advances in computer systems and their applications. Papers will cover the theoretical, conceptual, descriptive in nature, or a survey of the state of the art.

  • 2009 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    ICCSA is the premier Computer Science and Engineering Conference in the Middle East and North Africa


2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES)

The aim of INES conference series is to provide researchers andpractitioners from industry and academia with a platform to report on recent developments inthe area of computational intelligence.


2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)

The ETFA conference series is the prime, and largest, IEEE-sponsored event dedicated to factory automation and emerging technologies in industrial automation.The aim of the ETFA conference series is to provide researchers and practitioners from industry and academia with a platform to report on recent developments in the newly emerging areas of technology and their potential applications to factory automation.The technical success of the ETFA conference series also testifies to the rapid evolution of the area of industrial automation in the recent decades. The proceedings of the conference give a fairly accurate picture of the state of the art of the area. ETFA conferences were fortunate to attract high quality papers, many of which were later published in the IEEE Transactions on Industrial Electronics.

  • 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA 2012)

    The ETFA conference series is the prime, and largest, IEEE-sponsored event dedicated to factory automation and emerging technologies in industrial automation. The aim of the ETFA conference series is to provide researchers and practitioners with a platform to report on recent developments and their potential applications to factory automation.

  • 2011 IEEE 16th Conference on Emerging Technologies & Factory Automation (ETFA 2011)

    The aim of ETFA conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation

  • 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)

    The aim of the conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation.

  • 2009 IEEE Conference on Emerging Technologies & Factory Automation (ETFA 2009)

    The aim of the conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation.


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Periodicals related to Artificial Intelligence

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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.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Intelligent Systems, IEEE

IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...


Intelligent Transportation Systems, IEEE Transactions on

The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical ...


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Most published Xplore authors for Artificial Intelligence

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Xplore Articles related to Artificial Intelligence

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Technology, Technique, Interplay: Questioning Die Frage nach der Technik

Michael Eldred IEEE Technology and Society Magazine, 2013

Heidegger's reading of the essence of Technik is beset with a fatal ambiguity between technology and technique, which can be traced back further to an ambiguity lodged in the heart of Aristotle's metaphysical concept of power. This unresolved ambiguity, in turn, is intimately related to the historical cover-up of the twofold in the manifold of being between whatness (quiddity) and ...


Automatic basis selection for RBF networks using Stein's unbiased risk estimator

A. Ghodsi; D. Schuurmans Neural Networks, 2003. Proceedings of the International Joint Conference on, 2003

The problem of selecting the appropriate number of basis functions is a critical issue for radial basis function neural networks. An RBF network with an overlay restricted basis gives poor predictions on new data, since the model has too little flexibility. By contrast, an RBF network with too many basis functions also gives poor generalization performance since it is too ...


Image transform bootstrapping and its applications to semantic scene classification

Jiebo Luo; M. Boutell; R. T. Gray; C. Brown IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2005

The performance of an exemplar-based scene classification system depends largely on the size and quality of its set of training exemplars, which can be limited in practice. In addition, in nontrivial data sets, variations in scene content as well as distracting regions may exist in many testing images to prohibit good matches with the exemplars. Various boosting schemes have been ...


A Survey of Intelligent Language Tutoring Systems

Mustafa Al Emran; Khaled Shaalan Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on, 2014

Intelligent Languages Tutoring Systems (ILTSs) plays a significant role in evaluating students' answers through interaction with them. ILTSs implements Natural Language processing (NLP) techniques in order to allow free input of words and sentences. ILTSs have the capability of identifying the input errors and provide an immediate feedback along with the errors source. It has been observed that ILTSs were ...


Numerical solution of elliptic partial differential equation by growing radial basis function neural networks

Jianyu Li; Siwei Luo; Yingjian Qi; Yaping Huang Neural Networks, 2003. Proceedings of the International Joint Conference on, 2003

In this paper a neural network for solving partial differential equations (PDE) is described. The activation functions of the hidden nodes are the radial basis functions (RBF) whose parameters are learnt by a two-stage gradient descent strategy. A new growing radial basis functions-node insertion strategy with different radial basis functions is used in order to improve the net performances. The ...


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Educational Resources on Artificial Intelligence

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eLearning

Technology, Technique, Interplay: Questioning Die Frage nach der Technik

Michael Eldred IEEE Technology and Society Magazine, 2013

Heidegger's reading of the essence of Technik is beset with a fatal ambiguity between technology and technique, which can be traced back further to an ambiguity lodged in the heart of Aristotle's metaphysical concept of power. This unresolved ambiguity, in turn, is intimately related to the historical cover-up of the twofold in the manifold of being between whatness (quiddity) and ...


Automatic basis selection for RBF networks using Stein's unbiased risk estimator

A. Ghodsi; D. Schuurmans Neural Networks, 2003. Proceedings of the International Joint Conference on, 2003

The problem of selecting the appropriate number of basis functions is a critical issue for radial basis function neural networks. An RBF network with an overlay restricted basis gives poor predictions on new data, since the model has too little flexibility. By contrast, an RBF network with too many basis functions also gives poor generalization performance since it is too ...


Image transform bootstrapping and its applications to semantic scene classification

Jiebo Luo; M. Boutell; R. T. Gray; C. Brown IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2005

The performance of an exemplar-based scene classification system depends largely on the size and quality of its set of training exemplars, which can be limited in practice. In addition, in nontrivial data sets, variations in scene content as well as distracting regions may exist in many testing images to prohibit good matches with the exemplars. Various boosting schemes have been ...


A Survey of Intelligent Language Tutoring Systems

Mustafa Al Emran; Khaled Shaalan Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on, 2014

Intelligent Languages Tutoring Systems (ILTSs) plays a significant role in evaluating students' answers through interaction with them. ILTSs implements Natural Language processing (NLP) techniques in order to allow free input of words and sentences. ILTSs have the capability of identifying the input errors and provide an immediate feedback along with the errors source. It has been observed that ILTSs were ...


Numerical solution of elliptic partial differential equation by growing radial basis function neural networks

Jianyu Li; Siwei Luo; Yingjian Qi; Yaping Huang Neural Networks, 2003. Proceedings of the International Joint Conference on, 2003

In this paper a neural network for solving partial differential equations (PDE) is described. The activation functions of the hidden nodes are the radial basis functions (RBF) whose parameters are learnt by a two-stage gradient descent strategy. A new growing radial basis functions-node insertion strategy with different radial basis functions is used in order to improve the net performances. The ...


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IEEE-USA E-Books

  • Problem Solving about Electrical Circuits

    This chapter contains sections titled: Introduction, How it works:, Analysis by Propagation of Constraints, The Method of Assumed States, Making Choices, Dependencies and Contexts, Contradictions, Compound Devices, and Identified Terminals, The Slices Technique, An Example, Equivalent Circuits as Summaries of behavior, The Failure of Analysis, Parallel Equivalent of a Series Circuit, Power and Phasors, Expressing this with Slices, The L-Network Plan, Synthesis by Analysis, The Queue-based Control Structure, The Data Base of Facts and Demons, Details of ARS's Representation of Knowledge, Conclusions, Problems and Plans for the Future:, References

  • Representing Visual Objects

    This chapter contains sections titled: Object Identification, Object Matching Across Saccades, A Temporal Dimension In Object Representations, Object-Based Attention: Evidence From Neuropsychology, Notes, References

  • New methods, new goals

    This chapter contains sections titled: Methods for achieving user-centered designs, moore's law reexamined, From ai to ui--artificial intelligence to user interfaces, Guidelines for user-centered designs, Why focus on human- computer interaction?, The skeptic's corner

  • Constraint Solving

    The Tenth International Conference on Logic Programming, sponsored by the Association for Logic Programming, is a major forum for presentations of research, applications, and implementations in this important area of computer science. Logic programming is one of the most promising steps toward declarative programming and forms the theoretical basis of the programming language Prolog and it svarious extensions. Logic programming is also fundamental to work in artificial intelligence, where it has been used for nonmonotonic and commonsense reasoning, expert systems implementation, deductive databases, and applications such as computer-aided manufacturing.David S. Warren is Professor of Computer Science at the State University of New York, Stony Brook.Topics covered: Theory and Foundations. Programming Methodologies and Tools. Meta and Higher-order Programming. Parallelism. Concurrency. Deductive Databases. Implementations and Architectures. Applications. Artificial Intelligence. Constraints. Partial Deduction. Bottom-Up Evaluation. Compilation Techniques.

  • Explicit Control of Reasoning

    This chapter contains sections titled: Incoherent Knowledge Sources, Our Approach, Explicit Control Assertions, Explicit Data Dependencies, The AMORD Language Primitives, Examples, The BLOCKS World, Problem Solver Strategies, Implementation of a Refinement-Planning Problem Solver, Conclusions, References

  • The Engineering of Mind

    While the mind remains a mysterious and inaccessible phenomenon, many of the components of mind, such as perception, behavior generation, knowledge representation, value judgment, reason, intention, emotion, memory, imagination, recognition, learning, attention, arid intelligence are becoming well defined and amenable to analysis. Progress is rapid in the cognitive and neurosciences as well as in artificial intelligence, control theory, and many other fields related to the engineering of mind. A reference model architecture for intelligent systems is suggested to tie together concepts from all these separate fields into a unified framework that includes both biological and machine embodiments of the components of mind. It is argued that such a referen model architecture will facilitate the development of scientific models of mind.

  • Index

    Building a person has been an elusive goal in artificial intelligence. This failure, John Pollock argues, is because the problems involved are essentially philosophical; what is needed for the construction of a person is a physical system that mimics human rationality. Pollock describes an exciting theory of rationality and its partial implementation in OSCAR, a computer system whose descendants will literally be persons.In developing the philosophical superstructure for this bold undertaking, Pollock defends the conception of man as an intelligent machine and argues that mental states are physical states and persons are physical objects as described in the fable of Oscar, the self conscious machine.Pollock brings a unique blend of philosophy and artificial intelligence to bear on the vexing problem of how to construct a physical system that thinks, is self conscious, has desires, fears, intentions, and a full range of mental states. He brings together an impressive array of technical work in philosophy to drive theory construction in AI. The result is described in his final chapter on "cognitive carpentry."John Pollock is Professor of Philosophy and Cognitive Science at the University of Arizona. A Bradford Book

  • Attention

    This chapter contains sections titled: Introduction

  • Domains

    This chapter contains sections titled: Domains and Principles, Security, Artificial Intelligence, Cloud Computing, Big Data, Conclusion

  • References

    Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.



Standards related to Artificial Intelligence

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No standards are currently tagged "Artificial Intelligence"