Declarative representation of strategic control knowledge

Benaroch, Michel

doi:10.1006/ijhc.2001.0511

Cited by 4 publications

(1 citation statement)

References 34 publications

(20 reference statements)

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“…According to Benaroch [10], the following three parts are needed when representing knowledge: Construct – how to construct the business intents, Express – how to express business intents in a match‐able way, and Validate – how to ensure the business intents are actually met by a particular configuration. We used Benaroch's findings together with Pask's conversation theory [7] to divide RQ1 into sub‐questions. The mapping of the sub‐questions to the intent‐driven systems model is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

Systematic literature review on intent‐driven systems

2020

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An intent-driven system is a compositional system of human actors and machine actors. The aim of intent-driven systems is to capture stakeholders' intents and transform these into a form that enables computer processing of the intents. Only then are different machine actors able to negotiate with each other on behalf of their respective stakeholders and their intents, and suggest a mutually beneficial collaboration. The aim is to find existing methods/techniques which could be used as building blocks to construct intent-driven systems. This is used to provide insight into what is needed to enable intent-driven systems with the help of these methods/techniques. As a part of a design science study, a Systematic Literature Review is conducted. The existences of methods/techniques which can be used as building blocks to construct intent-driven systems exist in the literature. How these methods/techniques can interact in order to enable realisations of intent-driven systems is not evident in the existing literature. The synthesis shows a need for further research regarding the semantic interchange of information, actor interaction in intent-driven systems, and the governance of intent-driven systems.

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Section: Methodsmentioning

confidence: 99%

Systematic literature review on intent‐driven systems

2020

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Assessing schematic knowledge of introductory probability theory

2005

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Delineating Cultural Models

Mueller

2010

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S)Air Force SPONSOR/MONITOR'S REPORT NUMBER AFRL-RH-WP-TR-2011-0050 DISTRIBUTION / AVAILABILITY STATEMENTDistribution A: Approved for public release; distribution is unlimited. SUPPLEMENTARY NOTES88ABW/PA cleared on 05 May 2011, 88ABW-2011-2557. ABSTRACTThis research describes research conducted in order to develop an understanding of the cognitive factors that influence cultural models of belief. We evaluated the current state of the art in opinion dynamics research, and provided a brief review of the main issues connecting memory representation and representation in opinion dynamics. We also identified an extended bibliography covering representations and functions in cultural modeling research, and a database of news headlines highlighting potential real-world sources of cultural beliefs in conflict.Finally, we present two research articles that describe a new simulation approach to opinion dynamics that use belief spaces rather than simple single-value attitudes to represent the knowledge being exchanged. SUMMARYThis report describes the results of one phase of a research effort aimed at delineating the representations, constraints, and other aspects of cultural models. The report includes a basic description of the research effort, an in-depth review regarding research on opinion dynamics, a bibliography of collected research on cultural and belief modeling, a set of new article headlines illustrating situations where cultural beliefs appear to be in conflict, and two papers describing simulation work conducted under this effort.

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Declarative representation of strategic control knowledge

Cited by 4 publications

References 34 publications

Systematic literature review on intent‐driven systems

Systematic literature review on intent‐driven systems

Assessing schematic knowledge of introductory probability theory

Delineating Cultural Models

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