[sci.edu] CFP: APPLIED INTELLIGENCE

ashwin@gatech.edu (Ashwin Ram) (03/27/91)

                       ***  CALL FOR PAPERS  ***

        
                         APPLIED INTELLIGENCE:
         The  International Journal of Artificial Intelligence,
       Neural Networks, and Complex Problem-Solving Technologies
        

EDITOR IN CHIEF
        
    Dr. Moonis Ali
    Professor of Computer Science
    The University of Tennessee Space Institute
    Tullahoma, TN  37388
        
EDITORIAL BOARD
        
    T.R. Addis, University of Reading
    Luigia C. Aiello, Univ. degli S. diRoma
    Jan Aikins, Aion Corp.
    Shun-ichi Amari, Univ. of Tokyo
    J.H. Andreae, Univ of Canterbury
    Yuichiro Anzai, Keio Univ.
    James C. Bezdek, Univ. of West Florida
    W. Bibel, Technische Hochschule
    Leonard Bolc, Polish Acad. of Science
    Ivan Bratko, Josef Stefan Inst.
    Paul Chung, Univ. of Edinburgh
    Greg Clemenson, Intell. Corp.
    Michael A. Cohen, Boston University
    A. Costes, Centre Nat. Rsch. Sci
    John Doyle, MIT
    Michael G. Dyer, UCLA
    Mark S. Fox, Carnegie Mellon Univ.
    Ing. E. Freund, University Dortmund
    K. Fukushima, Osaka University
    Michael Georgeff, AAII
    Stephen Grossberg, Boston University
    K.H. Hanne, Fraunhofer Institute
    H.W. Hein, Univ. of Dortmund
    Anil K. Jain, Michigan State University
    Wiktor Assem, Polish Academy of Science
    L. Johnson, Burnel University
    Arvind Oshi, University of Pennsylvania
    Richard E. Korf, UCLA
    Michael Magee, University of Wyoming
    M. Matthews, University of S. Carolina
    John McDermott, Digital Equipment Corp.
    R. Michalski, George Mason University
    Sanjay Mittal, Xerox Corp.
    John Mylopoulos, University of Toronto
    Arnold Norman, Rockwell International
    Gordon S. Novak, UT, Austin
    Setsuo Ohsuga, University of Tokyo
    Judea Pearl, UCLA
    Fernando Pineda, Jet Propulsion Laboratories
    Ivan Plander, Slovak Academy of Science
    J. Polak, Czech University of Tech.
    R. Popplestone, University of Mass
    Dmirtri Pospelov, USSR Academy of Science
    Ashwin Ram, Georgia Institute of Technology
    Elaine Rich, MCC, Austin
    Paul Rosenbloom, USC
    Azriel Rosenfeld, University of Maryland
    David Rumelhart, Stanford University
    Erik Sandewall, Linkiping University
    W. Schonfeld, IBM Deutschland
    Mildred Shaw, University of Calgary
    Howie Shrobe, Symbolics Inc.
    R.L. Simpson, Jr., Dept. of Defense
    J.S. Sridharan, F.M.C. Copr.
    Peter H. Sydenham, SAIT
    Harold Szu, Naval Research Lab.
    Harold Thimbleby, University of Stirling
    M. Vukobratovic, Mihajlo Pupin Institute
    W. Wahlster, Univ. des Saarlandes
    S. Watanabe, Toshiba Corp.
    C.R. Weisbin, Jet Propulsion Lab.
    Sholom M. Weiss, Rutgers University
    Bernard Widrow, Stanford University
    Ian H. Witten, University of Calgary
    Masoud Yazdani, University of Exeter
    Lotfi Zadeh, UC, Berkeley
    Jin-Wen Zhang, ISAS
        

AIMS & SCOPE
        
    The objective of this journal is to provide a medium for  exchanging
    scientific  research  and technological achievements accomplished by
    the  international  community.  The focus for the reported work will
    be on research in artificial intelligence and neural networks.   The
    journal   will  address  issues  involving  solutions  of  real-life
    manufacturing,  defense,  management,  government   and   industrial
    problems which are too complex to  be  solved  through  conventional
    approaches  and  which require the simulation of intelligent thought
    processes, heuristics, application of knowledge, and distributed and
    parallel processing.  The integration of these  multiple  approaches
    in  solving  complex problems will be of particular importance.  The
    emphasis  of  the reported work will be on new and original research
    and technological developments rather than on reports concerning the
    applications of existing  technology  to  different  sets  of  data.
    Earlier  work  reported  in  these  fields  has  been   limited   in
    application  and  has  solved  simplified, structured problems which
    rarely  occur  in  real-life   situations.    Only   recently   have
    researchers  in the field started addressing real and complex issues
    applicable  to  difficult  problems.   This  journal  welcomes these
    developments  and  seeks  to  be  a  catalyst  in  disseminating the
    original   research   and   technological   achievements   of    the
    international community in these areas.  Topics of interest  include
    but are not limited to:

        Knowledge-Based Expert Systems    Knowledge Representation
        Knowledge Acquisition             Machine Learning
        Natural Language Processing       Qualitative & Temporal Reasoning
        Uncertainty Management            Qualitative Models
        Intelligent Database Systems      Pattern Recognition
        Vision                            Speech Recognition & Synthesis
        Intelligent Interfaces            Knowledge-Based Methodologies
        Autonomous Systems                Real-time Systems
        Intelligent Manufacturing         Sensor Fusion
        Planning & Scheduling             Monitoring & Prediction
        Analysis & Prediction             Decision Making
        Classification & Recognition      Modeling & Design
        Feature Extraction                Robotics &Controls
        Automatic Tracking                System Dependability
        Neural Net Architectures          Neurological Connections
        Optical Neurocomputers            Electrical Neurocomputers
        Associative Memory                Learning Methodologies
        Self Organization                 Network Dynamics
        Adaptive Resonance                Combinational Optimization
        Distributed & Parallel Processing  Neural Simulation & Modeling
        Cooperative & Competitive Processing
        
        
FOR SUBSCRIPTION INFORMATION AND INSTRUCTIONS FOR AUTHORS, CONTACT:

        Karen S. Cullen
        Kluwer Academic Publishers
        101 Philip Drive
        Norwell, MA 02061
        
OR SEND E-MAIL TO:
        <Kluwer@world.std.com>


************************************************************************
        

                     ***  SPECIAL ISSUE NOTICE  ***
        

                          Call for papers for
            SPECIAL ISSUE on DISTRIBUTED AI IN MANUFACTURING

         Guest Editor:  Mark S. Fox, Carnegie Mellon University
        
    APPLIED  INTELLIGENCE  is  planning  a  special issue on DISTRIBUTED
    ARTIFICIAL  INTELLIGENCE  (DAI)  IN  MANUFACTURING.   The papers are
    solicited  for  this issue on any topic that demonstrated the use of
    DAI in any facet  of  industrial  organizations,  such  as:  design,
    planning, production, distribution, field service, sales, marketing,
    finance, etc.  The following are examples of topics:
        
       Concurrent design
       Control of autonomous automated guided vehicles
       Enterprise integration
       Group sales forecasting
       Distributed Field Service
       Distributed planning and scheduling
        
DATES TO NOTE FOR THIS SPECIAL ISSUE ONLY:

       Deadline for paper submissions: March, 1992
       Scheduled for publication: July, 1992

SEND YOUR PAPERS FOR SPECIAL ISSUE CALL-FOR-PAPERS TO:
    
       Karen S. Cullen
       Kluwer Academic Publishers
       101 Philip Drive
       Norwell, MA 02061
    
       (Attn: Mark S. Fox)

FOR INSTRUCTIONS FOR AUTHORS, CONTACT:

        Karen S. Cullen
        Kluwer Academic Publishers
        101 Philip Drive
        Norwell, MA 02061
        
OR SEND E-MAIL TO:
        <Kluwer@world.std.com>


--
Ashwin Ram <ashwin@cc.gatech.edu>
Assistant Professor, College of Computing
Georgia Institute of Technology, Atlanta, Georgia 30332-0280
(404) 853-9372