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Division of Information & Intelligent Systems

Artificial Intelligence and Cognitive Science  (AICS)

This program has been archived.

CONTACTS

Name Email Phone Room
Edwina  L. Rissland erisslan@nsf.gov (703) 292-8930  1125 S  

PROGRAM GUIDELINES

Announcement  03-600

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 15-1), is effective for proposals submitted, or due, on or after December 26, 2014. The PAPPG is consistent with, and, implements the new Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (Uniform Guidance) (2 CFR 200). NSF anticipates release of the PAPPG in the Fall of 2014. Please be advised that, depending on the specified due date, the guidelines contained in NSF 15-1 may apply to proposals submitted in response to this funding opportunity.

DUE DATES

Archived

SYNOPSIS

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.

RELATED PROGRAMS

Computer Vision

Digital Society and Technologies

Human Language and Communication

Information and Data Management

Robotics

Science and Engineering Information Integration and Informatics

THIS PROGRAM IS PART OF

Data, Inference and Understanding Cluster


What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program

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