Computer Science Department

Artificial Intelligence
Research Group

AIRG members share interests in the theory and applications of AI and knowledge-based systems. Current and past research interests include intelligent tutoring, data mining, knowledged-based design, intelligent interfaces, multi-agent systems, machine learning, computer vision, case-based reasoning, iconic interfaces, knowledge acquisition, and the validation & verification of expert systems.

AIRG	Artificial Intelligence Research Group
Meeting Time:	Thursday, 11:00 am
Location:	FL 246, Beckett Conference Room.
Coordinator:	Joe Beck (AY 2012-13)
Faculty:	J.Beck, S.Chernova, D.C.Brown, M.A.Gennert, N.Heffernan, C.Rich & C.Ruiz.
Schedule:	Topics scheduled
Mailing list:	airg [at] cs.wpi.edu
{Note that only members of the list can send to the list} { Subscribe to the mailing list to receive AIRG announcements and AI information}

AIRG and Other Related Projects

Intelligent Tutoring (see Prof. Heffernan's TRG)
Data Mining (see Prof. Ruiz's KDDRG)
AI in Design projects (see Prof. Brown's AIDG)
Computational Vision (see ISRG)
Collaborative Filtering Systems
(See REFER group, and Data Recency in Collaborative Filtering Systems)
Single Function Agents
Learning in Multi-Agent Systems
Coactive Learning
Intelligent Interfaces
Computer Network Ease of Service Evaluation (TENNIS Project).
Visual Languages -- Iconic Interfaces

Technical Reports

A list of AIRG technical reports is available. To request a report send email to research@cs.wpi.edu

Current (and Past) Members

The members of AIRG include faculty as well as graduate students.

Meeting topics

A list of the current and past schedules of presentations and discussions is available.

AI Graduate Courses

Courses currently offered are:

CS540 - AI Approaches to Design
CS534 - Artificial Intelligence
CS538 - Knowledge-Based Systems
CS539 - Machine Learning
CS549 - Computer Vision
Plus a variety of CS 525 courses such as Intelligent Interfaces, Intelligent Tutoring, Knowledge Discovery and Data Mining, and Graphical Models for Reasoning Under Uncertainty.

AI Lab resources

The AI Lab, in FL 312, has a variety of machines, software, documentation, books and proceedings available. It currently houses the Intelligent Tutoring Systems research students. Access is restricted, and requires the permission of the Lab coordinator, Prof. Heffernan.

AI Webliography

Here are some useful sources of information about:

dcb [at] cs wpi edu / 3rd Aug 2010

Artificial Intelligence Research Group