🚀 go-pugleaf

                T H I R D   C A L L   F O R   P A P E R S

    Seventh Australian Joint Conference on Artificial Intelligence (AI'94)
                    "Sowing the Seeds for the Future"

                          21 - 25 November 1994

Proudly sponsored by

 Microsoft Institute (principal sponsor),
 IBM, Sun Microsystems, Australian Computer Society, CAMTECH Pty. Ltd., 
 Knowledge Engineering Group - Deakin University, 
 Knowledge Systems Group, Department of Computer Science, University of Sydney,
 Expert Systems Group - Continuum Australia Limited,  
 Key Centre for Knowledge Based Systems - RMIT, and 
 Department of Mathematics, Statistics, and Computing Science (UNE).

Hosted by

 Department of Mathematics, Statistics, and Computing Science
 The University of New England,Armidale, N.S.W., 2351, AUSTRALIA

AI'94 is the Seventh Australian Joint Conference on Artificial Intelligence.
The theme of the conference is "Sowing the Seeds for the Future", which reflects
the nature of research in Artificial Intelligence. The goal of the conference
is to promote research in artificial intelligence (AI) and scientific
interchange among AI researchers and practitioners. AI'94 will be hosted by
The Department of Mathematics, Statistics, and Computing Science at The
University of New England, between Monday 21st November and Friday 25th
November 1994. The conference programme will consist of formal tutorials and
workshops on the Monday and Tuesday, a Postgraduate session on Tuesday, and
technical paper presentation sessions from Wednesday 23rd to Friday 25th of
November. In addition to these sessions there will be three Keynote addresses
from renowned international speakers.


Wednesday, 23rd November        : Professor Wolfgang Wahlster,
                                  German Research Center  for AI (DFKI)
Topic of address                : Intellimedia: Planning Language, Graphics and
                                  Layout for Adaptive Information Presentation

Wolfgang Wahlster is a Professor of Artificial Intelligence in the
Department of Computer Science at the University of Saarbruecken, Germany
where he currently serves as a Scientific Director of the German Research
Center for Artificial Intelligence (DFKI). Since 1975 he has been the
principal investigator in various language projects, including HAM-ANS,
WISBER, SC, XTRA, VITRA and WIP. He has published over 100 technical papers
on natural language processing. His current research includes intelligent
multimodal interfaces, user modeling, natural language scene description,
intelligent help systems, and deductive plan recognition and generation.
Prof. Wahlster is on the editorial boards of various international journals
and book series such as Artificial Intelligence, Applied Artificial
Intelligence, User Modeling and User-adapted Interaction, Symbolic
Computation and the MIT-ACL series. He is a AAAI Fellow and a recipient of
the Fritz Winter Award, one of the most prestigious awards for engineering
sciences in Germany, for his research on cooperative user interfaces. Prof.
Wahlster served as the Conference Chair for IJCAI-93 in Chambery and the
Chair of the Board of Trustees of IJCAII from 1991 -1993.


Thursday,  24th November        : Professor Katia Sycara,
                                  Carnegie Mellon University
Topic of address                : The Present and Future of Distributed
                                  Artificial Intelligence

Katia Sycara is a Research Scientist in the School of Computer Science at
Carnegie Mellon University. She is also Director of the Enterprise
Integration Laboratory.  She is directing and conducting research aimed at
developing decision support systems for integrating organisational decision
making.  Her doctoral research contributed to the definition of the
case-based reasoning paradigm. She has been Principal Investigator of
various government and industry funded research (e.g. distributed
scheduling, concurrent engineering, enterprise integration, case-based
Engineering design, crisis action planning). Dr. Sycara is the author of a
book on manufacturing and over 70 technical papers dealing with
negotiation, distributed problem solving, case-based reasoning, integration
of case-based reasoning with other problem solving methods, and
constraint-based reasoning. She is the Area Editor for AI and Management
Science for the journal "Group Decision and Negotiation" and on the
editorial board of "AI in Engineering" and "Concurrent Engineering:
Research and Applications". She is a member of AAAI, ACM, IEEE, and the
Institute for Management Science (TIMS).


Friday,  25th November          : Professor John F. Sowa,
                                  State University of New York - Binghamton
Topic of Address                : Sharing and Integrating Knowledge Bases

John F. Sowa is the author of the book Conceptual Structures, which in the
past ten years has led to a world-wide movement of people who are using,
implementing, and extending the theory of conceptual graphs. He had been
working at IBM for 30 years on various aspects of computer systems design
and development, especially artificial intelligence and computational
linguistics. Now, he is teaching, writing, and working on standards for
conceptual schemas with the American National Standards Institute (ANSI)
and the International Standards Organization (ISO).


PROGRAM COMMITTEE
Dr. Chengqi Zhang (co-chair); UNE    	Dr. Dickson Lukose; UNE
Prof. John Debenham (co-chair); UTS	Dr. Anand Rao; AAII
A/Prof. Mike Brooks; Adelaide           A/Prof. Claude Sammut; UNSW
Dr. Jennie Clothier; DSTO               A/Prof. Liz Sonenberg; Melbourne
Dr. Robert Dale; Microsoft              Prof. Rodney Topor; Griffith
A/Prof. Wee Leng Goh; NTU, Singapore    Dr. Wayne Wobcke; Sydney
Mr. Andy Horsfall; Fujitsu              Dr. Xindong Wu; James Cook
Prof. Ray Jarvis; Monash                Dr. Xin Yao; ADFA
Dr. Chris Leckie; TRL                   Dr. Waikiang Yeap; Otago, N.Z.
Dr. Craig Lindley; CSIRO                A/Prof. David W. Russell, USA

ORGANISING COMMITTEE
Dr. Dickson Lukose (chair)      Dr. Chengqi Zhang        Mr. Prakash Bhandari
Mr. Allan Williams (secretary)  Dr. Gregory Zevin        Ms. Gabrielle Aldridge

We invite authors to submit papers describing both experimental and
theoretical results from all stages of AI research.  We encourage submission of
papers that describe innovative concepts, techniques, perspectives, or
observations that are not yet supported by mature results. Such submissions
must include substantial analysis of the ideas, the technology needed to
realise them, and their potential impact. Papers describing applied AI are
particularly solicited. Topics of interest include, but are not limited to:

Machine Learning      			Distributed Artificial Intelligence
Knowledge Acquisition            	Artificial Intelligence Applications
Natural Language Generation             Intelligent Decision Support Systems
Natural Language Understanding    	Cognitive Modeling
Hybrid Systems                		Robotics
Genetic Algorithms			Vision
Evolutionary Programming    		Planning and Scheduling
Knowledge Based Systems			Neural Network
Knowledge Representation		Image Analysis
Qualitative Reasoning 			Automated Reasoning

Authors must submit five (5) copies of the completed paper to the AI'94
Conference Secretary, which should be received by or on 15th June 1994. All
five (5) copies of the submitted paper must be clearly legible. Neither
computer files nor fax submission are acceptable. Papers received after
15th June 1994 will be returned unopened. Notification of receipt will be
mailed to the first author (or designated author) soon after receipt.

PAPER FORMAT FOR REVIEW
All five copies of the submissions must be printed on 8 1/2" x 11" or A4
paper using 12 point type (10 characters per inch for typewriters or 12
point LaTeX article-style).  The body of submitted papers must be at most 8
pages, including figures, tables, diagrams, and bibliography, but excluding
the title page. Papers exceeding the specified length or not conforming to
the formatting requirements are subject to rejection without review. Each
copy of the paper  must have a title page (separate from the body of the
paper) containing the title of the paper, the names and addresses of all
authors, telephone number, fax number, electronic mail address, a short
(less than 200 word) abstract, topic, and a keyword list. The body of the paper
must also contain a copy of the title and abstract without any author
details. In addition each page within the paper must be clearly numbered.

To facilitate the reviewing process, authors are requested to select
their paper's keywords from the list below. Authors are invited to add
additional keywords to their keyword list if necessary.

Artificial Life, Automated Reasoning, Behaviour-Based Control, Belief
Revision, Case-Based Reasoning, Cognitive Modelling, Common Sense
Reasoning, Communication and Cooperation, Constraint-Based Reasoning,
Computer-Aided Education, Connectionist Models, Corpus-Based Language
Analysis, Deduction, Diagnosis, Discourse Analysis, Distributed Problem
Solving, Expert Systems, Geometrical Reasoning, Information Extraction,
Knowledge Acquisition, Knowledge Representation, Knowledge Sharing
Technology, Large Scale Knowledge Engineering, Learning/Adaptation, Machine
Learning, Machine Translation, Mathematical Foundations, Multi-Agent
Planning, Natural Language Processing, Neural Networks, Nonmonotonic
Reasoning, Perception, Planning, Probabilistic Reasoning, Qualitative
Reasoning, Reasoning about Action, Reasoning about Physical Systems,
Reactivity, Robot Navigation, Robotics, Rule-Based Reasoning, Scheduling,
Search, Sensor Interpretation, Sensory Fusion/Fission, Simulation, Situated
Cognition, Spatial Reasoning, Speech Recognition, System Architectures,
Temporal Reasoning, Terminological Reasoning, Theorem Proving, Truth
Maintenance, User Interfaces, Virtual Reality, Vision, 3-D Model
Acquisition.

Each paper will be carefully reviewed. The criteria that will be given to the
conference reviewers have been reproduced below.  Authors are  advised to bear
these criteria in mind while writing their papers:  How important is the work
reported?  Does it attack an important/difficult problem or a
peripheral/simple one?  Does the approach offered advance the state of the
art? Has this or similar work been previously reported?  Are the problems
and approaches completely new?  Is this a novel combination of familiar
techniques?  Does the paper point out differences from related research? Is
it re-inventing the wheel using new terminology? Is the paper technically
sound?  Does it carefully evaluate the strengths and limitations of its
contribution?  How are its claims backed up? Is the paper clearly written?
Does it motivate the research? Does it describe clearly the algorithms or
techniques employed?  Does the paper describe previous work? Are the results
described and evaluated? Is the paper organised in a logical fashion?


PROCEEDINGS PUBLICATION
The proceedings of AI'94 will be published by World Scientific Publishers.


IMPORTANT DATES
Deadline for paper submission           :       15th June 1994
Notification of acceptance              :       31st July 1994
Camera Ready Copy                       :       22nd August 1994
Conference                              :       21st - 25th November 1994


FURTHER INFORMATION
All enquires regarding AI'94 and papers submitted to AI'94 should be directed
to the following address:

                         AI'94 Conference Secretary
          Department of Mathematics, Statistics, and Computing Science
        The University of New England, Armidale, N.S.W., 2351, AUSTRALIA

                       E-mail: ai94@fermat.une.edu.au

You may e-mail the following address with the Subject Heading "help" to
obtain details on AI'94, UNE, and Armidale.

                        ai94-info@fermat.une.edu.au

ai94-info mail server has been established to enable electronic request for
information regarding AI'94 Conference.



-------------------------------------------------------------------------------
IMPORTANT DATES FOR AI'94 WORKSHOPS
-------------------------------------------------------------------------------
a) 1st Australian Conceptual Structures Workshop
        Submission Deadline             August 31, 1994.
        Notification of Acceptance      September 30, 1994.
        Camera-ready copy               October 15, 1994.

b) AI'94 Workshop on Evolutionary Computation
        Submission Deadline             August 8, 1994.
        Notification of Acceptance      September 12, 1994.
        Camera-ready copy               October 17, 1994.

c) AI'94 Workshop on Expert Systems in Production use
        Abstarct Submission Deadline    August 31, 1994.
        Notification of Acceptance      September 15, 1994.

d) AI'94 Workshop on Knowledge-Based Systems in Natural Resource Management
        Abstarct Submission Deadline    August 31, 1994.
        Notification of Acceptance      September 15, 1994.

e) 2nd Australian Workshop on Natural Language Processing
        Submission of extended abstract August 9, 1994
        Notification of acceptance:     September 16, 1994
        Full paper submission:          October 17, 1994
-------------------------------------------------------------------------------

-------------------------------------------------------------------------------
                       STRUCTURED SEQUENCE TUTORIALS
-------------------------------------------------------------------------------

A structured sequence of pre-conference tutorials on several aspects of
applied AI has been organised. Tutorial participants will be able to select
from a choice of tutorials to suit their specialist requirements.

The following are the list of tutorials organised for AI'94. All
participants of any of these tutorials may attend the talk entitled
"Introduction to Artificial Intelligence". This is a complementary session
for all tutorial participants.
                    

Guide:
(y) - indicate YES
(n) - indicate NO
(t) - indicate THEORETICAL SESSION
(p) - indicate PRACTICAL SESSION
(d) - indicate DEMONSTRATION SESSION
1hr - indicate one hour
4s  - indicate four sessions
3s  - indicate three sessions 

Note: Each session is One and a Half hours long.


--------------------------------------------------------------------------------
No.     Tutorial Title               Presenters            CODE Length Practical
--------------------------------------------------------------------------------
[0] Introduction To Artificial       Not Confirmed yet     AI     1hr      -
    Intelligence

[1] Constraint-Based Reasoning       Dr. H. W. Guesgen     CBR    4s       y

[2] Fundamentals of Fuzzy Logic      Dr. A. Sekercioglu    FLFC   3s       y
    and Fuzzy Logic Controllers      G.K. Egan
               
[3] An Introduction to Evolutionary  Dr. X. Yao            EC     3s       y
    Computation
               
[4] Building Intelligent Decision    Dr. J. Zeleznikow     IDSS   3s       y
    Support Systems through the use  Mr. Dan Hunter
    of multiple reasonig Strategies
                
[5] Intelligent Learning Database    Dr Xindong Wu         ILDB   3s       y 
    Systems            

[6] Nonmonotonic Reasoning           Dr. M-A Williams      NMR    3s       y
                                     Dr. G. Antoniou

[7] Theoretical Foundations of       Dr. A. G. Hoffman     TFML   3s       n
    Machine Learning                 Dr. Shyam Kapur
                                     Dr. Arun Sharma

[8] Knowledge Acquisition and        Dr. P. Compton        KAM    3s       d
    Maintenance with Ripple Down 
    Rules     

[9] Hybrid (AI symbolic,             Dr. Nik K. Kasabov    HS     3s       d
    Connectionist, Fuzzy, Chaotic) 
    Systems


--------------------------------------------------------------------------------
Tentative Tutorial Timetable
--------------------------------------------------------------------------------

Monday 21/11/94 (Day 1)
=======================
 9.30 - 10.30:  Introduction to AI
10.30 - 11.00:  Morning Tea Break
11.00 - 12.30:  NMR(t)  IDSS(t) EC(t)   TFML(t)
12.30 -  2.00:  Lunch
 2.00 -  3.30:  NMR(t)  IDSS(t) EC(t)   TFML(t)
 3.30 -  4.00:  Afternoon Tea Break     
 4.00 -  5.30:  NMR(p)  IDDS(p) EC(p)   TFML(t)

Tuesday 22/11/94 (Day 2)
========================
 9.00 - 10.30:  CBR(t)  ILDB(t) FLFC(t) KAM(t)  HS(t)
10.30 - 11.00:  Morning Tea Break
11.00 - 12.30:  CBR(t)  ILDB(t) FLFC(t) KAM(t)  HS(t)
12.30 -  2.00:  Lunch
 2.00 -  3.30:  CBR(t)  ILDB(p) FLFC(p) KAM(d)  HS(d)   
 3.30 -  4.00:  Afternoon Tea Break
 4.00 -  5.30:  CBR(p)                               

--------------------------------------------------------------------------------
Examples of structured sequence of tutorials:
--------------------------------------------------------------------------------

There are couple of structured sequence of tutorials that one could adopt.
For example, if the participant is interested in logic/theoretical basis of
AI, then he/she may want to select the following sequence:

Day 1   9.30 - 10.30: Introdution to AI
       11.00 - 12.30: NMR(t)
        2.00 -  3.30: NMR(t)
        4.00 -  5.30: NMR(p)

Day 2   9.00 - 10.30: CBR(t)    
       11.00 - 12.30: CBR(t)
        2.00 -  3.30: CBR(t) 
        4.00 -  5.30: CBR(p)

Alternatively, if the participant is more interested in the applications of
AI, then the following sequence may be more suitable:

Day 1   9.30 - 10.30: Introdution to AI
       11.00 - 12.30: IDSS(t)
        2.00 -  3.30: IDSS(t)
        4.00 -  5.30: IDSS(p)

Day 2   9.00 - 10.30: FLFC(t)
       11.00 - 12.30: FLFC(t)
        2.00 -  3.30: FLFC(p) 


If the interest is in Machine Learning/Knowledge Acquisition, then the
possible sequence may be:

Day 1   9.30 - 10.30: Introdution to AI 
       11.00 - 12.30: TFML(t)
        2.00 -  3.30: TFML(t)
        4.00 -  5.30: TFML(t)

Day 2   9.00 - 10.30: ILDB(t)  or  KAM(t)    
       11.00 - 12.30: ILDB(t)  or  KAM(t)
        2.00 -  3.30: ILDB(p)  or  KAM(d)

Another possible sequence may be:

Day 1   9.30 - 10.30: Introdution to AI
       11.00 - 12.30: EC(t)
        2.00 -  3.30: EC(t)
        4.00 -  5.30: EC(p)

Day 2   9.00 - 10.30: HS(t)    
       11.00 - 12.30: HS(t)
        2.00 -  3.30: HS(d)
--------------------------------------------------------------------------------
Further Information:
--------------------------------------------------------------------------------
For further information on the structured sequence tutorials, please
contact the AI'94 Tutorial Co-ordinator, at the following address:

                        Dr. Dickson Lukose
         Department of Mathematics, Statistics, and Computing Science
                    University of New England
                        Armidale, N.S.W., 2351
                             AUSTRALIA

                 e-mail: ai94@fermat.une.edu.au
                 fax.  : (+61 67) 73 3312
--------------------------------------------------------------------------------