Intelligent Information Systems Institute

Abstract

The Intelligent Information Systems Institute began operation in December of 2000. Its mandate is threefold: To perform and stimulate research in computer and data-intensive methods for intelligent decision making systems; to foster collaborations between Cornell researchers, AFRL, in particular IF, and the scientific community; and to play a leadership role in the research and dissemination of the core areas of the institute. IISI supports basic research within the Faculty of Computing and Information Science (FCIS). The institute defies the traditional barriers between disciplines, constituting a catalyst to new collaborative, interdisciplinary projects, with a focus on computational intensive and data intensive methods arising in large-scale decision systems. IISI promotes a cross-fertilization of approaches from different disciplines, including computer science, engineering, operations research, economics, mathematics, statistics, and physics. During the period covered by this grant the institute focused on three themes: (1) Computational Complexity, Typical Case Analysis, Problem Structure, and Connections to Statistical Physics, (2) Mathematical and Computational Foundations of Networks, and (3) Autonomous and Distributed Agents, generating over 100 research publications, including invited perspectives in Science and Nature that disseminate to a broader science audience various research results such as on phase transitions, combinatorial optimization, heavy-tailed behavior in computation, and constraint reasoning.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA483942

Entities

People

  • Carla Gomes

Organizations

  • Cornell University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computational Complexity
  • Computer Science
  • Engineering
  • Equations
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Mathematical Programming
  • Natural Language Processing
  • Operations Research
  • Optimization
  • Phase Transformations
  • Probability
  • Reasoning

Readers

  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design
  • Technical Research and Report Writing.