Computational Intelligence Applications for Defense
Abstract
This report reviews the priorities and discusses cognitive algorithms resulting in breakthroughs in defense applications, and making progress toward achieving AF goals. The mathematical techniques of dynamic logic and neural modeling fields model aspects of the functionality of the mind: perception, cognition, and higher cognitive functions. This leads to a significant improvement in classical signal processing applications, including detection, tracking, and fusion in noise and clutter, making autonomous situational awareness possible. The first part of this report describes past difficulties, why these problems have not been solved for decades, and the gist of the current approaches. The second part of this report addresses future research directions: the augmentation of human performance through improvements in man-machine interfaces. This includes modeling of language interacting with cognition. In future systems, computers will learn from humans, and humans will operate machines by language and thoughts..
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 18, 2011
- Accession Number
- ADA546292
Entities
People
- Leonid I. Perlovsky
Organizations
- Air Force Research Laboratory