Behavior prediction for decision and control in cognitive autonomous systems

Asok Ray, Shashi Phoha, Soumik Sarkar

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

This paper presents an innovative concept of behavior prediction for decision and control in cognitive autonomous systems. The objective is to coordinate human-machine collaboration such that human operators can assess and enable autonomous systems to utilize their experiential and unmodeled domain knowledge and perception for mission execution. The concept of quantum probability is proposed to construct a unified mathematical framework for interfacing between models of human cognition and machine intelligence.

Original languageEnglish (US)
Pages (from-to)263-271
Number of pages9
JournalNew Mathematics and Natural Computation
Volume9
Issue number3
DOIs
StatePublished - Nov 1 2013

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Science Applications
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

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