Behavior prediction for decision and control in cognitive autonomous systems

Asok Ray; Shashi Phoha; Soumik Sarkar

doi:10.1142/S1793005713400061

Behavior prediction for decision and control in cognitive autonomous systems

Asok Ray, Shashi Phoha, Soumik Sarkar

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	263-271
Number of pages	9
Journal	New Mathematics and Natural Computation
Volume	9
Issue number	3
DOIs	https://doi.org/10.1142/S1793005713400061
State	Published - Nov 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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10.1142/S1793005713400061

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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.",

author = "Asok Ray and Shashi Phoha and Soumik Sarkar",

note = "Funding Information: This work has been supported in part by the Army Research Laboratory (ARL) and the Army Research O±ce (ARO) under Grant No. W911NF-07-1-0376. Any opinions, ¯ndings and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily re°ect the views of the sponsoring agencies.",

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N2 - 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.

AB - 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.

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Behavior prediction for decision and control in cognitive autonomous systems

Abstract

All Science Journal Classification (ASJC) codes

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