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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K Nearest Neighbor Based Local Sparse Representation Classifier

Nan Zhang; Jian Yang 2010 Chinese Conference on Pattern Recognition (CCPR), 2010

The sparse representation-based classifier (SRC) has been developed and shows great potential for pattern classification. SRC is a global representation based method in that a testing sample is represented by all training samples. Thus, it is time-consuming when the training sample size becomes large. This paper presents a local SRC method, called KNN-SRC, which chooses K nearest neighbors of a ...


Turing's Test Revisited

S. Guccione; G. Tamburrini Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754236.png)


To Send or Not to Send - Learning MAC Contention

SaiDhiraj Amuru; Yuanzhang Xiao; Mihaela van der Schaar; R. Michael Buehrer 2015 IEEE Global Communications Conference (GLOBECOM), 2015

The exponential back-off mechanism, proposed for reducing MAC- layer contention in the 802.11 standard, is sub-optimal in terms of the network throughput. This back-off mechanism and its improved variants are especially inefficient under unknown dynamics such as packet arrivals and user entry/exit. In this paper, we formulate the problem of optimizing this back- off mechanism as a Markov decision process, ...


Using a Multi-Agent Evidential Reasoning Network as the Objective Function for an Evolutionary Algorithm

Robert Woodley; Eric Lindahl; Joseph Barker 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2007

A culturally diverse group of people are now participating in military multinational coalition operations (e.g., combined air operations center, training exercises such as Red Flag at Nellis AFB, NATO AWACS), as well as in extreme environments. Human biases and routines, capabilities, and limitations strongly influence overall system performance; whether during operations or simulations using models of humans. Many missions and ...


Machine learning approaches to power-system security assessment

L. Wehenkel IEEE Expert, 1997

The paper discusses a framework that uses machine learning and other automatic-learning methods to assess power-system security. The framework exploits simulation models in parallel to screen diverse simulation scenarios of a system, yielding a large database. Using data mining techniques, the framework extracts synthetic information about the simulated system's main features from this database


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Educational Resources on Artificial Intelligence

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eLearning

K Nearest Neighbor Based Local Sparse Representation Classifier

Nan Zhang; Jian Yang 2010 Chinese Conference on Pattern Recognition (CCPR), 2010

The sparse representation-based classifier (SRC) has been developed and shows great potential for pattern classification. SRC is a global representation based method in that a testing sample is represented by all training samples. Thus, it is time-consuming when the training sample size becomes large. This paper presents a local SRC method, called KNN-SRC, which chooses K nearest neighbors of a ...


Turing's Test Revisited

S. Guccione; G. Tamburrini Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754236.png)


To Send or Not to Send - Learning MAC Contention

SaiDhiraj Amuru; Yuanzhang Xiao; Mihaela van der Schaar; R. Michael Buehrer 2015 IEEE Global Communications Conference (GLOBECOM), 2015

The exponential back-off mechanism, proposed for reducing MAC- layer contention in the 802.11 standard, is sub-optimal in terms of the network throughput. This back-off mechanism and its improved variants are especially inefficient under unknown dynamics such as packet arrivals and user entry/exit. In this paper, we formulate the problem of optimizing this back- off mechanism as a Markov decision process, ...


Using a Multi-Agent Evidential Reasoning Network as the Objective Function for an Evolutionary Algorithm

Robert Woodley; Eric Lindahl; Joseph Barker 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2007

A culturally diverse group of people are now participating in military multinational coalition operations (e.g., combined air operations center, training exercises such as Red Flag at Nellis AFB, NATO AWACS), as well as in extreme environments. Human biases and routines, capabilities, and limitations strongly influence overall system performance; whether during operations or simulations using models of humans. Many missions and ...


Machine learning approaches to power-system security assessment

L. Wehenkel IEEE Expert, 1997

The paper discusses a framework that uses machine learning and other automatic-learning methods to assess power-system security. The framework exploits simulation models in parallel to screen diverse simulation scenarios of a system, yielding a large database. Using data mining techniques, the framework extracts synthetic information about the simulated system's main features from this database


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IEEE-USA E-Books

  • Animats in Education

    These sixty contributions from researchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fields delve into the behaviors and underlying mechanisms that allow animals and, potentially, robots to adapt and survive in uncertain environments. They focus in particular on simulation models in order to help characterize and compare various organizational principles or architectures capable of inducing adaptive behavior in real or artificial animals.Jean-Arcady Meyer is Director of Research at CNRS, Paris. Stewart W. Wilson is a Scientist at The Rowland Institute for Science, Cambridge, Massachusetts.

  • Part II

    The idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system decides how to act by running formal reasoning procedures over a body of explicitly represented knowledge--a knowledge base. The system is not programmed for specific tasks; rather, it is told what it needs to know and expected to infer the rest.This book is about the logic of such knowledge bases. It describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. Assuming some familiarity with first-order predicate logic, the book offers a new mathematical model of knowledge that is general and expressive yet more workable in practice than previous models. The book presents a style of semantic argument and formal analysis that would be cumbersome or completely impractical with other approaches. It also shows how to treat a knowledge base as an abstract data type, completely specified in an abstract way by the knowledge-level operations defined over it.

  • Foundations of Classical Artificial Intelligence and Cognitive Science

    This chapter contains sections titled: Cognitive Science: Preliminaries, The Cognitivistic Paradigm, An Architecture for an Intelligent Agent

  • Glossary of Notations

    As computers advance from isolated workstations to linked elements in complex communities of systems and people, cooperation and coordination via intelligent agents become increasingly important. Examples of such communities include the Internet, electronic commerce, health institutions, electricity networks, and digital libraries.Sarit Kraus is concerned here with the cooperation and coordination of intelligent agents that are self-interested and usually owned by different individuals or organizations. Conflicts frequently arise, and negotiation is one of the main mechanisms for reaching agreement. Kraus presents a strategic-negotiation model that enables autonomous agents to reach mutually beneficial agreements efficiently in complex environments. The model, which integrates game theory, economic techniques, and heuristic methods of artificial intelligence, can be automated in computer systems or applied to human situations. The book provides both theoretical and experimental results.

  • Intelligent Control: An Overview of Techniques

    In many established fields, the label ?>intelligent?> heralds new developments that take issue with some traditional assumptions in research. In the case of intelligent control, an explicit attempt is made to draw inspiration from nature, biology, and artificial intelligence, and a methodology is promoted that is more accepting of heuristics and approximationsï¿¿-ï¿¿and is less insistent on theoretical rigor and completenessï¿¿-ï¿¿than is the case with most research in control science. Beyond such general and abstract features, succinct characterizations of intelligent control are difficult. Extensional treatments are an easier matter. Fuzzy logic, neural networks, genetic algorithms, and expert systems constitute the main areas of the field, with applications to nonlinear identification, nonlinear control design, controller tuning, system optimization, and encapsulation of human operator expertise. Intelligent control is thus no narrow specialization; it furnishes a diverse body of techniques that potentially addresses most of the technical challenges in control systems. It is also important to emphasize that intelligent control is by no means methodologically opposed to theory and analysis. Chapter 6 of this book, for example, discusses some theoretical results for neural networks and fuzzy models as nonlinear approximators Introductory tutorials to the key topics in intelligent control are provided in this chapter. No prior background in these topics is assumed. Examples from ship maneuvering, robotics, and automotive diagnostics help motivate the discussion. (Other chapters in this volume, notably Chapter 16, also outline applications of intelligent control.) General observations on autonomy and adaptationï¿ ¿-ï¿¿two characteristics that are often considered essential to any definition of intelligenceï¿¿-ï¿¿are also included.

  • The Optimal Allocation of Trials

    This chapter contains sections titled: The 2-Armed Bandit, Realization of Minimal Losses, Many Options, Application to Schemata

  • Index

    Like Mooki, the hero of Spike Lee's film "Do the Right Thing," artificially intelligent systems have a hard time knowing what to do in all circumstances. Classical theories of perfect rationality prescribe the "right thing" for any occasion, but no finite agent can compute their prescriptions fast enough. In Do the Right Thing, the authors argue that a new theoretical foundation for artificial intelligence can be constructed in which rationality is a property of "programs" within a finite architecture, and their behavior over time in the task environment, rather than a property of individual decisions.Do the Right Thing suggests that the rich structure that seems to be exhibited by humans, and ought to be exhibited by AI systems, is a necessary result of the pressure for optimal behavior operating within a system of strictly limited resources. It provides an outline for the design of new intelligent systems and describes theoretical and practical tools for bringing about intelligent behavior in finite machines. The tools are applied to game planning and realtime problem solving, with surprising results.Stuart Russell is Associate Professor of Computer Science at the University of California, Berkeley. This book builds on important philosophical and technical work by his coauthor, the late Eric Wefald.

  • A Glossary Of Actor Terms

    The transition from sequential to parallel computation is an area of critical concern in today's computer technology, particularly in architecture, programming languages, systems, and artificial intelligence. This book addresses central issues in concurrency, and by producing both a syntactic definition and a denotational model of Hewitt's actor paradigm -- a model of computation specifically aimed at constructing and analyzing distributed large-scale parallel systems -- it substantially advances the understanding of parallel computation.Contents: Introduction. General Design Decisions. Computation in ACTOR Systems. A More Expressive Language. A Model for ACTOR Systems. Concurrency Issues. Abstraction and Compositionality. Conclusions.

  • Limited Rationality

    This chapter contains sections titled: Introduction to Artificial Intelligence, Agents, architectures and programs, Problems with traditional approaches to agent design, Bounded optimality, Historical background, Achieving Bounded Optimality, Summary

  • Index

    Advanced Database Techniques combines advanced techniques with practical advice and many new ideas, methods, and examples for database management students, system specialists, and programmers. It provides a wealth of technical information on database methods and an encyclopedic coverage of advanced techniques that other current books on database lack.An overview covers important definitions in the area of database management and describes such classical notions as file structures, conceptual, physical and external schemas, and relational, network, hierarchical, and entity-relationship models. Remaining chapters offer advanced techniques, methods, and practical advice for functional specification and system design of a database-oriented interactive application; database architecture with qualitative and quantitative optimizations; the prediction of loads and response times; data representation, packing, and protection; selection of data elements and structures in a database; practical extensions of the relational theory to include dynamic relations and schemas, existence and processing constraints and coroutines; software architectures (functional interface and decision machine); and open databases for robotics, image processing, CAD, and artificial intelligence.Extended definitions are provided for conceptual schema, view, soft constraints and selection, relation, and dynamic schema. And an entire chapter is devoted to MSD, a new relational approach to specification and design. New software architectures for database applications are also covered. Advanced Database Techniques describes the 15 functions of a database management system and its internal mechanisms and provides a complete product review of the DBMS ORACLE as well as advice on DBMS purchasing and database ad ministration.Daniel Martin is an independent consultant living in France. He designed and installed the largest distributed database in Europe. Advanced Database Techniques is included in the Information series, edited by Michael Lesk.



Standards related to Artificial Intelligence

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No standards are currently tagged "Artificial Intelligence"