Skip Navigation
Staff Directory | Contact CISE | Contact Web Master | Site Map
National Science FoundationCISE - The Directorate for Computer and Information Science and Engineering
Graphic Line
Home | About CISE | Funding | Discoveries | News & Events | FAQs
Graphic Line
Header Graphic
Graphic

IIS
Bullet Home
Bullet Mission
Bullet Staff
Bullet Funding Opportunities
Bullet Funded Activities
Bullet Awards
Bullet News & Events
Bullet Discoveries
Bullet FAQs
IIS Clusters
Bullet Data, Inference and Understanding Cluster
Bullet Science and Engineering Informatics Cluster
Bullet Systems in Context Cluster
Divisions
Computing &
Communication
Foundations
  Funding
Bullet Computer &
Network Systems
  Funding
Bullet Shared
Cyberinfrastructure
  Funding
Funding Related Links
Bullet All CISE Funding Opportunities
Bullet CISE Cross-Cutting Funding
Bullet CISE Funded Activities
Bullet CISE Archived Solicitations
Bullet Proposal Deadline Calendar
Bullet Proposal Submission Guidelines
Awards
Bullet Awards Abstract Search
Bullet Award Guidance


Artificial Intelligence & Cognitive Science

Division of Information & Intelligent Systems (IIS)

A new solicitation is under development.

CONTACT(S)

Edwina Rissland, Program Director


SCOPE

The Artificial Intelligence and Cognitive Science (AICS) program focuses on advancing the state of the art in Artificial Intelligence and Cognitive Science. The program supports research and related education activities fundamental to the development of computer systems capable of performing a broad variety of intelligent tasks, and to the development of computational models of intelligent behavior across the spectrum of human intelligence.

Examples of performance-oriented topics include intelligent agents, planning, automated reasoning, machine learning, case-based reasoning, knowledge representation methodologies, and architectures for combining intelligent tasks such as perception, reasoning, planning, learning, and action. Examples of cognitive-oriented topics include analogical reasoning, concept formation and evolution, argumentation, integration of knowledge from diverse sources and experience, knowledge acquisition by human learners, manipulation and development of taxonomies and classification systems, collaborative behavior, and adaptation and learning.

Many topics, such as the support of human decision making and diagnosis in complex task domains, require a combination of the two orientations.


NSF Document: NSF 03-600


RELATED INFO

Abstracts of Awards






Additional Information

Please reference NSF 01-156 for additional information.

Graphic Space Graphic Space Graphic Space
Top
Bottom Corner Graphic Space Bottom Corner