8th Artificial Intelligence Applications and Innovations Confence (AIAI) 2012

  • Conference Call
  • The 2012 organization of the 8th Artificial Intelligence Applications and Innovations (AIAI) Confence is a major technical event in the fields of Soft Computing and Artificial Intelligence. AIAI is supported and sponsored by the IFIP (International Federation for Information Processing).

    The ever expanding abundance of information and computing power enables researchers and users to tackle highly interesting issues, such as applications providing personalized access and interactivity to multimodal information based on user preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user. The general focus of the AIAI conference is to provide insights on how AI can be implemented in real world applications.

    Also research papers describing advanced prototypes, innovative systems, tools and techniques are encouraged. General survey papers indicating future directions and professional work-in-progress reports are of equal interest. Acceptance will be based on quality, originality and the practical value of the work. We are certain that it will provide a stimulating forum for scientists, engineers and students.

    Conference Topics

    Suggested topics include, but are not limited to, the following:

    Theoretical Advances

    • Machine Learning
    • Adaptive Control
    • Data Fusion
    • Reasoning Methods
    • Knowledge Acquisition and Representation
    • Planning and Scheduling
    • Artificial Neural Networks
    • Expert Systems
    • Fuzzy Logic and Systems
    • Genetic Algorithms and Programming
    • Particle Swarm Optimisation
    • Bayesian Models

    Knowledge Engineering

    • Data Mining and Information Retrieval
    • Decision Support Systems
    • Knowledge Management for e-Learning and Enterprise Portals
    • Intelligent Information Systems
    • Web- and Knowledge-Based Information Systems
    • Ontologies

    Signal Processing Techniques and Knowledge Extraction

    • Computer Vision
    • Human-Machine Interaction / Presence
    • Learning and Adaptive Systems
    • Pattern Recognition
    • Signal and Image Processing
    • Speech and Natural Language Processing

    Other

    • AI and Ethical Issues
    • Evaluation of AI Systems
    • Social Impact of AI

    Artificial Intelligence Applications

    • eBusiness, eCommerce, eHealth, eLearning
    • Engineering and Industry
    • Environmental Modelling
    • Finance
    • Telecommunications - Transportation
    • Crisis and Risk Management
    • Medical Informatics and Biomedical Engineering
    • Political Decision Making
    • Natural Language Processing
    • Planning and Resource Management
    • Project Management
    • Emerging Applications
    • Forensic Science

    Multimedia, Graphics and Artificial Intelligence

    • Multimedia Computing
    • Multimedia Ontologies
    • Smart Graphics
    • Colour/Image Analysis
    • Speech Synthesis

    Trends in Computing

    • Accessibility and Computers
    • Affective Computing
    • Agent and Multi-Agent Systems
    • Autonomous and Ubiquitous Computing
    • Distributed AI Systems and Architectures
    • Grid-Based Computing
    • Intelligent Profiling and Personalisation
    • Robotics and Virtual Reality

    Publication Opportunities

    Selected papers from the conference will pass through a peer review process for potential publication in the "Artificial Intelligence Review Journal". SPRINGER 2010 Impact Factor 0.429. Selected papers from the conference will pass through a peer review process for potential publication in the "Engineering Intelligent Systems Journal".

    Keynote Speakers

    Dr. Danil Prokhorov, Toyota Research Institute NA (Ann Arbor, Michigan, USA)

    • Vice President for Conferences of the INNS (International Neural Network Society)
    • Associate Editor of Neural Networks, IEEE Trans. on Neural Networks and IEEE Trans. on Autonomous Mental Development
    • Senior Member of both IEEE and INNS
    • Reviewer of grants proposals for the U.S. National Science Foundation (NSF)
    • Extended Experience in the Scientific Research Laboratory of Ford Motor Co. (Metropolitan Detroit area)

    Prof. David Robertson, University of Edinburgh (United Kingdom)

    • Head of School of Informatics
    • Leader, Software Systems and Processes research group
    • Editor in Chief, AI Review journal, Automated Experimentation journal

    Subject: “Knowledge Engineering on a Social Scale”

    Abstract

    For much of its history, formal knowledge representation has aimed to describe knowledge independently of the personal and social context in which it is used, with the advantage that we can automate reasoning with such knowledge using mechanisms that also are context independent. This sounds good until you try it on a large scale and find out how sensitive to context much of reasoning actually is. Humans, however, are great hoarders of information and sophisticated tools now make the acquisition of many forms of local knowledge easy. The question is: how to combine this beyond narrow individual use, given that knowledge (and reasoning) will inevitably be contextualised in ways that may be hidden from the people/systems that may interact to use it? This is the social side of knowledge representation and automated reasoning. I will discuss how the formal reasoning community has adapted to this new view of scale, using examples from my own research and that of others.

    starting: ending: 30.09.2012 Location: , Category:

    Timeline

    Conference START 30.09.2012 END

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    Location , Address Athena Pallas Village, Beach Elia Category Organiser More Info Conference Website

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