A functional modelling approach for reconstructing 3 and 4 dimensional wet refractivity fields in the lower atmosphere using GNSS measurements

Abstract This paper introduces the notion of the Designers’ Sandpit. It presents the proposed user interface, a preliminary view of a Proactive DFA methodology and the geometric reasoning functionality required to support it. In previous work1 a prototype assembly-oriented design environment incorporating DFA and assembly planning has been developed, integrated with CAD and supported by geometric reasoning algorithms. However, another opportunity to enhance the capabilities of the Sandpit is through the incorporation of functional representations. Functional modelling aims to bridge the gap between conceptual and detailed design and when addressed in a general context is a challenging research subject. Here, a functional modelling approach is proposed in the context of assembly-oriented CAD to facilitate the evaluation of product design in terms of manufacture, assembly and cost, before the geometry is defined.

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Linking intra-seasonal variations in climate and tree-ring δ13C: A functional modelling approach

Ecological Modelling ◽

10.1016/j.ecolmodel.2010.04.007 ◽

2010 ◽

Vol 221 (15) ◽

pp. 1779-1797 ◽

Cited By ~ 19

Author(s):

Thomas Eglin ◽

Christophe Francois ◽

Alice Michelot ◽

Nicolas Delpierre ◽

Claire Damesin

Keyword(s):

Tree Ring ◽

Seasonal Variations ◽

Functional Modelling ◽

Modelling Approach

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General Collective Intelligence vs the Innate Collective Intelligence Factor

10.31730/osf.io/kp3x8 ◽

2020 ◽

Author(s):

Andy E Williams

Keyword(s):

Problem Solving ◽

State Space ◽

Functional State ◽

General Problem ◽

Collective Intelligence ◽

Functional Modelling ◽

Collective Cognition ◽

Potential Capacity ◽

Modelling Approach

INTRODUCTION: Groups of individuals of species exhibiting collective behaviours have been suggested to have some innate general collective intelligence. General Collective Intelligence or GCI has been described as a platform that organizes individual humans into a single collective intelligence with the potential capacity for exponentially greater general problem-solving ability.OBJECTIVES: To explore whether a functional modelling approach might have the capacity to represent any system of organization resulting in a general collective intelligence factor. And to explore what functionality might be required for a GCI to exponentially increase it.METHODS: An analysis of the meaning of general problem-solving ability in the functional state space of a system of cognition or collective cognition is used to assess whether GCI has the potential to exponentially increase increase that ability.RESULTS: GCI has the potential to exponentially increase increase impact on all general outcomes where limited by general problem-solving abilityCONCLUSION: While an innate general collective intelligence factor might exist, and while conventional CI solutions might have significant impact on specific collective outcomes, a GCI is required to exponentially general problem-solving ability, and therefore to exponentially increase collective outcomes. This capacity has the potential to be disruptive.

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