Artificial Intelligence

Research Centers and Facilities

Multi-agent systems, knowledge representation, computer vision, and intelligent tutoring systems are areas of research interest in the Department of Computer and Information Sciences at the University of Delaware. In addition, a Cognitive Science Program brings in well-known speakers from throughout North America and serves as a forum for joint research efforts with faculty from the departments of Educational Studies, Linguistics, and Psychology. Members of our AI group serve on the editorial boards of International Journal of Man-Machine Studies, Autonomous Agents and Multi-Agent Systems Journal, User Modeling and User-Adapted Interaction Journal, Machine-Mediated Learning, and Visible Language. In addition, they have served on the program committees for major conferences in artificial intelligence and multi-agent systems.

Multi-Agent Systems and Distributed Artificial Intelligence research deals with the issues that arise when groups or societies of autonomous agents (usually computer programs but sometimes people too) interact to solve problems. These agents may be self-interested, or cooperating to solve a shared problem. Important issues include reasoning about the knowledge and beliefs of other agents, communication and negotiation, and coordination and control. Furthermore, in many real-world problems, agents have limited computational resources available to them, and so must forgo optimal solutions for satisfying solutions.

Knowledge representation, planning, problem-solving, and plan recognition are important components of intelligent systems, especially systems that must react to their environment or interact with other agents, and several researchers are pursuing work in these areas. In addition, the video modeling and synthesis lab is studying a number of major problems in computer vision and image processing, with an emphasis on the modeling of non-rigid body motion.

Current Faculty

  • Sandra Carberry, Professor (joint appointment with Linguistics & Cognitive Science): Plan recognition; User modeling.
  • Ben CarteretteAssistant Professor: Information retrieval; Experimental design; Statistical methods; Scientific methodology.
  • Daniel ChesterAssociate Professor (joint appointment with Linguistics & Cognitive Science): Knowledge representation; Knowledge-based systems; Neural networks; Vision.
  • Keith DeckerAssociate Professor: Multi-agent systems; Distributed problem solving; Parallel and distributed planning and scheduling; Distributed information gathering; Bioinformatics; Computational organization design.
  • Chandra KambhamettuProfessor: computer vision; Visualization; Computer graphics.
  • Kathleen McCoyProfessor (joint appointment with Linguistics & Cognitive Science): Rehabilitation engineering; Intelligent tutoring systems.
  • Vijay ShankerProfessor: Text mining; Information extraction; Machine learning.

Courses

  • CISC 681 Introduction to Artificial Intelligence
  • CISC 689 Machine Learning
  • CISC 888 Advanced Topics: Machine Learning
  • CISC 889 Advanced Topics: Intelligent Tutoring Systems
  • CISC 889 Advanced Topics: Internet Information Gathering
  • CISC 889 Advanced Topics: Multi-Agent Systems
  • CISC 889 Advanced Topics: Planning
  • CISC 889 Advanced Topics: Automatic Programming
Human Language Technologies Laboratory

100 Elkton Road, Professors Sandra Carberry and Kathy McCoy.

The Human Language Technology Laboratory is an umbrella for two language-related laboratories: disabilities technology and discourse. The laboratory closely collaborates with the Statistical Information Retrieval Laboratory and the Text Mining Laboratory.

The Disabilities Technology Laboratory, directed by Kathy McCoy, develops intelligent interfaces for people with disabilities that affect their ability to communicate. The ICICLE System is an intelligent English grammar checker and tutor for people who are deaf. Other projects assist people who have special communication needs. We make “talking with” a computer faster and more natural. Another project is to help a person who has visual impairments “scan” a text to find the area relevant to answering a question.

The Discourse Laboratory, under the direction of Sandra Carberry, addresses problems related to discourse and dialogue. The Graphs project treats information graphics (bar charts, line graphs, etc.) as a form of discourse with a communicative goal. We are applying language understanding and generation techniques to index, store, and retrieve graphics from a digital library, to develop an interactive dialogue system that conveys the content of graphics via speech to individuals with sight impairments, and to develop an interactive graph design assistant that will critique graphs with the objective of improving them so that they achieve their communicative goal. Current collaborators include Dr. Stephanie Elzer (Millersville University), Dr. Dan Chester, and graduate students.

Statistical Information Retrieval Laboratory

77/79 East Delaware Ave, Professor Ben Carterette.

The Statistical Information Retrieval Laboratory pursues novel models of information organization, storage, access, retrieval, and integration using statistical and information-theoretic approaches. One of the key problems in developing such models is that optimizing and evaluating their utility requires human input. We aim to minimize the human cost, or to accomplish much more with an allotted cost, thereby allowing research and development to proceed much faster.

Multi Agent Systems Laboratory (MAS Lab)

447 Smith Hall, Professor Keith Decker.

An agent is a computer system capable of flexible, autonomous action in dynamic multi-agent environments. The success of the Internet has shown that computing is no longer only about fast numerical calculation, or isolated information processing. It is now also about interaction and coordination amongst machines, and between machines and people. The MAS laboratory focuses on the science of coordination in applications ranging from distributed energy management and emergency response support to scientific information gathering.

VIMS Vision Laboratory

212 Smith Hall, Professor Chandra Kambhametu.

VIMS (Video/Image Modeling and Synthesis) Lab encompasses research in areas related to computer vision and graphics. Our current research topics include camera systems, structure and motion recovery, stereo vision, facial image analysis, medical image analysis, object recognition and scene understanding, scientific visualization. Work done at VIMS explores solutions to challenging real-world problems such as Arctic ice motion and thickness studies, medical diagnosis and assistive robotics.

Text Mining Laboratory

102 Smith Hall, Professor Vijay Shanker.

The Text Mining Laboratory, directed by Vijay Shanker, is concerned with the development of language technology algorithms to assist scientists to rapidly access relevant information from research literature. Projects include the extraction of targeted information, retrieval of relevant textual passages, and assistance in the knowledge discovery process. A related project involves rapid adaptation of language processing tools that were developed for a general domain to be used in a specific domain. A third project involves multi-disciplinary effort that integrates natural language cues found in large software programs and program analysis for multiple software development and maintenance tasks.

Research Artificial Intelligence