Foundations of Programming Languages Group

							  AI @ DePaul

Peter Wiemer-Hastings
peterwh@cs.depaul.edu
     312-362-5736
                 Faculty
•   Jacek Brzezinski   •   Ashley Morris
•   Robin Burke        •   Joseph Phillips
•   Clark Elliott      •   Daniela Raicu
•   Steven Lytinen     •   Noriko Tomuro
•   Craig Miller       •   Peter Wiemer-
•   Bamshad Mobasher       Hastings
 Research Areas/Projects (1)
• Intelligent Information Retrieval / Filtering
   – Web navigation (Miller)
   – WebACE (Mobasher)
   – ARCH (Mobasher, Lytinen, Miller)
   – FAQFinder (Tomuro, Lytinen)
   – Recommender systems (Burke)
• Intelligent Tutoring Systems, Cognitive
  Modeling
   – Miller
   – Wiemer-Hastings
   – Elliott
 Research Areas/Projects (2)
• Natural Language Processing
  – Unification grammar and parsing
    (Tomuro, Lytinen)
  – WordNet (Tomuro)
  – Latent Semantic Analysis (Wiemer-
    Hastings)
• Fuzzy GIS
  – Morris
• AI in Games
  – Brzezinski
               Robin Burke


• Recommender systems
  – Knowledge-based recommendation
  – Hybrid recommender systems
  – Interactive recommendation
• Applications in
  – Electronic Commerce: Intelligent product
    catalogs
  – Digital Libraries: Intelligent multi-dimensional
    browsing
             Clark Elliott

• Emotion and Speech
  – Natural Language Generation
  – Natural Language Understanding
             Steve Lytinen
• FAQFinder
   – with Noriko Tomuro
   – A natural language-based browser of
     Frequently Asked Questions (FAQ) files
• A Unification-based Natural Language Parser
   – with Noriko Tomuro
   – Efficient parsing algorithms for a very
     expressive grammar formalism called
     Unification Grammar
• ARCH
   – with Mobasher, Miller, Burke and Sieg
   – Document retrieval using concept hierearchy
                 Craig Miller

• User modeling to evaluate interfaces
   – in collaboration with NASA Ames
     research labs
   – Modeling of navigation patterns/behavior
     of web users
   – Evaluation of web site usability from a user's
     perspective
• Cognitive models of human learning
   – A rule-based category-learning system that produces
     behavior consistent with human behavior
   – Computational model of students interacting with an
     educational program (electrostatic physics)
     Bamshad Mobasher
• Research Interests
   – Data mining and knowledge discovery
     on the Web (Web Mining)
   – Intelligent agents for information retrieval / filtering
   – Agents for electronic commerce and automated
     contracting
• Projects
   – Automatic Web Personalization based on Web Usage
     Mining
   – MAGNET: Multi-agent distributed environment for
     automated contracting and supply-chain management
   – WebACE: a client-side Web agent for document
     retrieval and categorization
           Ashley Morris

• Using Fuzziness in Geographic
  Information Systems (GIS)
   – Able to better store and represent
     spatial objects
• Fuzziness in data modeling
• Fuzzy learning systems
• http://morris2k.cti.depaul.edu/gis/FOOSBA
  LL2.html
                Joseph Phillips

•   Computational Scientific Discovery
    – The field borrows from Philosophy of
      Science, Machine Learning and
      Knowledge Discovery in Databases (KDD).

    –   Representing scientific knowledge
    –   Automating scientific reasoning
    –   Updating scientific models given data in databases
    –   Visualizing models
    –   Developing model building and preferencing criteria,
        and defining heuristic functions over scientific
        models.
            Daniela Raicu


•   Content-based image retrieval
•   Computer vision
•   Data mining and knowledge discovery
•   Machine learning
•   Pattern recognition
              Noriko Tomuro

• A Unification-based Natural
  Language Parser
   – with Steve Lytinen
   – Efficient parsing algorithms for a very expressive
     grammar formalism called Unification Grammar
• Computational Semantic Lexicon
   – WordNet as the broad-coverage lexical resource
• FAQFinder
   – with Steve Lytinen
   – A natural language-based browser of Frequently
     Asked Questions (FAQ) files
 Peter Wiemer-Hastings
• Research Interests
  – Natural Language Understanding
  – Cognitive Modeling
  – Artificial Intelligence in Education
• Projects (more info at
  http://reed.cs.depaul.edu/peterwh)
   – SLSA: Hybrid symbolic and vector-based
     natural language understanding
   – StoryStation: Helps children write better by
     giving feedback from multiple agents
   – RMT: Research Methods Tutor, currently
     used by DePaul Psychology students
            Classes (CSC)
• 3/457 (F) Expert Systems
  – Learn how to make a rule-based system, and
    some theory
• 3/458 (Sp) Symbolic Programming
  – Learn Lisp and Prolog, basic AI langs
• 3/480 (W) Foundations of AI
  – Search, logic, inference, agents
• 578 (F) Machine Learning
  – ML and Neural Networks
• 587 (W) Cognitive Science
  – Computer models of cognitive tasks
            Other Classes
• DS/IS 575 (W) Intelligent Information
  Retrieval
  – How to pull important info out of the web or
    some other large collection
• CSC 594 (Spr) Topics in AI
  – This term: Topics in Knowledge Management
    (Burke)
• ITS 427 (Spr) Information Processing
  Models of Learning
  – Learn about how people learn
• ITS 580 (?) Artificial Intelligence in
  Learning Environments
  – Intelligence in Education
Questions?