Accession Number:

ADA568271

Title:

Emotional System for Military Target Identification

Descriptive Note:

Conference paper

Corporate Author:

NEAR EAST UNIV MERSIN (TURKEY)

Personal Author(s):

Report Date:

2009-10-01

Pagination or Media Count:

14.0

Abstract:

The thought of man-made systems and machines having emotions sounds like science fiction, however, few decades ago the idea of machines with intelligence seemed also like fiction, but today we are developing intelligent machines and using them successfully in different applications. Would we accept the idea of machines that could feel What role would emotions play in machine learning and decision making How can we model artificial emotions within intelligent systems Can a machines decision capability be improved if it had emotions These are questions one may ask when hearing that machines may have emotions, albeit artificial emotions. In this paper, we discuss these questions, and review briefly some of the latest works on modeling emotions within intelligent systems including our own model that is based on an emotional neural network EmNN. The EmNN has emotional neurons, weights, and two embedded emotional responses anxiety and confidence. These emotional parameters are updated during task learning, and used during decision making. The paper will also present an application of the EmNN to military target identification, in addition to discussing the potential of using the emotional system to improve information exploitation.

Subject Categories:

  • Cybernetics
  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE