Scenario planning for climate strategies development by integrating group Delphi, AHP and dynamic fuzzy cognitive maps

2008 ◽  
Author(s):  
Roberto Biloslavo ◽  
Slavko Dolinsek
Keyword(s):  
Cognitive Maps ◽  
Scenario Planning ◽  
Fuzzy Cognitive Maps

scholarly journals A Holistic Framework for Forecasting Transformative AI

2019 ◽  
Vol 3 (3) ◽  
pp. 35 ◽  
Author(s):  
Gruetzemacher
Keyword(s):  
Planning Process ◽  
Research Priorities ◽  
Cognitive Maps ◽  
Scenario Planning ◽  
Fuzzy Cognitive Maps ◽  
Technological Forecasting ◽  
New Class ◽  
Judgmental Forecasting ◽  
Mapping Techniques ◽  
Network Mapping

In this paper we describe a holistic AI forecasting framework which draws on a broad body of literature from disciplines such as forecasting, technological forecasting, futures studies and scenario planning. A review of this literature leads us to propose a new class of scenario planning techniques that we call scenario mapping techniques. These techniques include scenario network mapping, cognitive maps and fuzzy cognitive maps, as well as a new method we propose that we refer to as judgmental distillation mapping. This proposed technique is based on scenario mapping and judgmental forecasting techniques, and is intended to integrate a wide variety of forecasts into a technological map with probabilistic timelines. Judgmental distillation mapping is the centerpiece of the holistic forecasting framework in which it is used to inform a strategic planning process as well as for informing future iterations of the forecasting process. Together, the framework and new technique form a holistic rethinking of how we forecast AI. We also include a discussion of the strengths and weaknesses of the framework, its implications for practice and its implications on research priorities for AI forecasting researchers.

FUZZY COGNITIVE MAPS EMBEDDED IN A LOW COST AUTONOMOUS MOBILE ROBOT

2019 ◽  
Author(s):  
Márcio Mendonça ◽  
Guilherme Bender Sartori ◽  
Lucas Botoni de Souza ◽  
Giovanni Bruno Marquini Ribeiro
Keyword(s):  
Mobile Robot ◽  
Low Cost ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Autonomous Mobile Robot
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