Behavior prediction for decision and control in cognitive autonomous systems

Asok Ray, Shashi Phoha, Soumik Sarkar

Research output: Contribution to journalArticle

2 Citations (Scopus)

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

Fingerprint

Cognitive Systems
Autonomous Systems
Prediction
Quantum Probability
Domain Knowledge
Cognition
Operator
Human
Concepts
Model

All Science Journal Classification (ASJC) codes

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

Cite this

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Behavior prediction for decision and control in cognitive autonomous systems. / Ray, Asok; Phoha, Shashi; Sarkar, Soumik.

In: New Mathematics and Natural Computation, Vol. 9, No. 3, 01.11.2013, p. 263-271.

Research output: Contribution to journalArticle

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