Conserving analyst attention units

Use of multi-agent software and CEP methods to assist information analysis

Jeffrey Rimland, Michael McNeese, David Hall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Although the capability of computer-based artificial intelligence techniques for decision-making and situational awareness has seen notable improvement over the last several decades, the current state-of-the-art still falls short of creating computer systems capable of autonomously making complex decisions and judgments in many domains where data is nuanced and accountability is high. However, there is a great deal of potential for hybrid systems in which software applications augment human capabilities by focusing the analyst's attention to relevant information elements based on both a priori knowledge of the analyst's goals and the processing/correlation of a series of data streams too numerous and heterogeneous for the analyst to digest without assistance. Researchers at Penn State University are exploring ways in which an information framework influenced by Klein's (Recognition Primed Decision) RPD model, Endsley's model of situational awareness, and the Joint Directors of Laboratories (JDL) data fusion process model can be implemented through a novel combination of Complex Event Processing (CEP) and Multi-Agent Software (MAS). Though originally designed for stock market and financial applications, the high performance data-driven nature of CEP techniques provide a natural compliment to the proven capabilities of MAS systems for modeling naturalistic decision-making, performing process adjudication, and optimizing networked processing and cognition via the use of "mobile agents." This paper addresses the challenges and opportunities of such a framework for augmenting human observational capability as well as enabling the ability to perform collaborative context-aware reasoning in both human teams and hybrid human/software agent teams.

Original languageEnglish (US)
Title of host publicationNext-Generation Analyst
Volume8758
DOIs
StatePublished - 2013
EventNext-Generation Analyst - Baltimore, MD, United States
Duration: Apr 29 2013Apr 30 2013

Other

OtherNext-Generation Analyst
CountryUnited States
CityBaltimore, MD
Period4/29/134/30/13

Fingerprint

Complex Event Processing
information analysis
Information analysis
Software agents
computer programs
situational awareness
Situational Awareness
Unit
Software
decision making
Processing
Decision making
Decision Making
cognition
Accountability
artificial intelligence
Software Agents
Mobile agents
multisensor fusion
Decision Model

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Rimland, J., McNeese, M., & Hall, D. (2013). Conserving analyst attention units: Use of multi-agent software and CEP methods to assist information analysis. In Next-Generation Analyst (Vol. 8758). [87580N] https://doi.org/10.1117/12.2015759
Rimland, Jeffrey ; McNeese, Michael ; Hall, David. / Conserving analyst attention units : Use of multi-agent software and CEP methods to assist information analysis. Next-Generation Analyst. Vol. 8758 2013.
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Rimland, J, McNeese, M & Hall, D 2013, Conserving analyst attention units: Use of multi-agent software and CEP methods to assist information analysis. in Next-Generation Analyst. vol. 8758, 87580N, Next-Generation Analyst, Baltimore, MD, United States, 4/29/13. https://doi.org/10.1117/12.2015759

Conserving analyst attention units : Use of multi-agent software and CEP methods to assist information analysis. / Rimland, Jeffrey; McNeese, Michael; Hall, David.

Next-Generation Analyst. Vol. 8758 2013. 87580N.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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