Division of Information & Intelligent Systems
Artificial Intelligence and Cognitive Science
This program has been archived.
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
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.
Digital Society and Technologies
Human Language and Communication
Information and Data Management
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