Artificial Intelligence Research Group (AIRG)

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

AIRG Schedule

Meeting Time

Thursday, 11 a.m.

Location

FL 246, Beckett Conference Room.

Coordinator

Carolina Ruiz (AY 2004-05)

Faculty

D.C.Brown, M.A.Gennert, N.Heffernan & C.Ruiz.

Schedule

Topics scheduled

Mailing list

airg@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 Projects

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

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 (web pages).
CS534 - Artificial Intelligence (web pages).
CS538 - Expert Systems (web pages).
CS539 - Machine Learning (web pages).
CS549 - Computer Vision (web pages).

AI Lab resources

The AI Lab, in FL 312, has a variety of machines, software, documentation, books and proceedings available. Access is restricted, and requires the permission of the Lab coordinator, Prof. Brown.

AI Webliography

Here are some useful sources of information about:

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Last modified: Sep 27, 2006, 16:05 EDT