Customer Insight in Action collects social data and applies
adaptive decision models to auto route cases to respective team (s).
Not exact matches
But another approach is to work from the present backwards; to look at how humans make
decisions regarding things like mating and parental care; to
model, from an
adaptive standpoint, the
decision making that humans make in contemporary environments; and to try to get a fix on the nature of reasoning involved.
A recent study in the Journal of Environmental Management carried out by researchers at the European Forest Institute and their partners in the FP7 funded MOTIVE project (
Models for
Adaptive Forest Management) discusses how forest managers and
decision makers can cope with climate uncertainties.
-- 7) Forest
models for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adapt
models for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8)
Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adapt
Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and
modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform
adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed
decision support systems to provide guidance for managing for adaptation.
The science outcomes are part of an ongoing
adaptive management process that is essential to sound
decision making in the NPR - A and can serve as a
model for other Arctic regions facing climate and land - use uncertainty.
Hence, speculatively, perhaps certain proximal correlates of rearing in advantaged socioeconomic environments (e.g. more frequent and consistent exposure to supportive parenting practices and parent — child interactions; more frequent home and school exposures to adult
modeling of
adaptive decision - making) favorably influence — and in their absence, impede — the assembly and long - term functionality of brain systems supporting top - down or regulatory control functions that, in turn, bias individuals toward less impulsive
decision - making (Hackman and Farah, 2009; Hackman et al.