Logic List Mailing Archive

Algorithmic Intelligence

4 Oct 2011
Berlin, Germany

The submission deadline of the Algorithmic Intelligence workshop has been 
extended until August 10th. We are proud to inform you that Hannah Bast 
will give an invited talk.

Call for Papers - Algorithmic Intelligence @ KI 2011, 4.10, 2011

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First International Workshop for Algorithmic Intelligence at
34th German Conference on Artificial Intelligence
October 4, 2011, Technical University, Berlin, Germany

http://www.tzi.de/~edelkamp/algorithmicintelligence/

===================================================
*
Algorithmic Intelligence* is a collective and pragmatic term for a range of
algorithmic methods. It contrasts the term *Artificial Intelligence* in two
ways:

    - Firstly, while Artificial Intelligence carries some meaning that there
    is intelligence, but not always something real, Algorithmic
Intelligenceis focused on methods that solve a given problem.
    - Secondly, if a method exists to solve a complex looking problem or give
    a good approximation of the solution, then this method belongs to
    Algorithmic Intelligence even if it is too simple to be called Artificial
    Intelligence.

This view on intelligence is not philosophical, as its methods have been
identified as key revenue drivers in companies like Google, Netflix, UPS,
and Walmart.

The topic contrasts the term *Artificial Intelligence*, which has been
coined as a "modern myth".

    There is a wide divergence between the nature of machine and human as
    currently understood and as revealed by conceptual analysis.
Misconceptions
    about computer potential and misrepresentation of computer power
emerge from
    excessive anthropomorphisation of machines - John Kelly

Besides such insights there is a real need for software systems capable of
taking actions in real-time situations involving sensor inputs, state
variables, situation assessments and environmental conditions.

*Algorithmic Intelligence* has a core that is methodical. It thus serves as
a tribute to the fact that computer action for real-life applications refers
to an algorithmic, often user-initiated process. The learner is an
information constructor, assisted by humans to create machine
representations of objective reality. New information is then linked to
prior knowledge. The term also includes tackling optimization problems where
there is no learning as such, but methods come in as a way of dealing with
computational hardness, and not bound to evolutionary, neural networks and
fuzzy logic aspects.

With this workshop we agree that we need an alternative term to stress the
focus on the impact that well-founded AI algorithms have for the success in
practice.

Topics of interest for this workshop include, but are not limited to,
research and applications in the following:

    - Modeling and Elicitation of Expert Knowledge,
    - Prior Knowledge Integration in Machine Learning Approaches,
    - Intelligent User Interfaces, Ambient Assistance
    - Real-Time AI, Question-Answer Systems,
    - Scalable Data Mining Algorithms,
    - Decision Optimization and Computational Hardness,
    - Intelligence in Games,
    - Image Processing and Video Data Analysis,
    - Statistical Relational Learning and Probabilistic Programming

We expect papers from 5 to 15 pages (LNCS style) for technical content, the
presentation of tools and ongoing work.

  Important Dates

Paper Submission: (send eMail to one of the co-chairs)

Deadline August 10th, 2011 Midnight Pacific Time (extended)

Acceptance/Rejection notification: August 22, 2011 (extended)

  Participant Interaction

Besides paper presentations - by being a new breed of workshop series - we
will have panel discussions on limits and possibilities of Algorithmic
Intelligence, how to continuously bridge the gap between the research
fields, and how to push the workshop to some higher level - probably
publishing - event.

  Workshop Chairs

Carsten Elfers
TZI, Universität Bremen
Email: celfers@tzi.de

Rune Jensen
IT University of Copenhagen
Email: rmj@itu.dk

Hartmut Messerschmidt
TZI, Universität Bremen
Email: hmess@tzi.de

Rasmus Pagh
IT University of Copenhagen
Email: pagh@itu.dk

  Contact Hartmut Messerschmidt for any additional information or visit the
workshop homepage at http://ai.tzi.de/ .