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By Patrick Talbot,Dennis Ellis

ebook Description: we've got the information! an excessive amount of information! Decision-making calls for that facts be filtered and subtle to supply details. including context to the content material produces actionable wisdom. regrettably, present thoughts strip away the uncertainty linked to the uncooked information. This booklet presents a decision-centered method for dealing with uncertainty that mixes what humans do most sensible with what pcs do top. Algorithms “plug into”the wisdom base from a unmarried import/export interface, facilitating multi-strategy reasoning. Triage filters the information, extraction of hedge phrases seize uncertainty, an executable wisdom base offers content material in context, information fusion propagates uncertainty, info analytics notice styles, and plan optimization instruments movement the decision-maker from “what's occurring” to “what to do”. monitors current actionable wisdom with linked uncertainties explicitly proven. Fifteen functions are proven starting from toughness prediction, to a retail challenge solver, to intelligence group purposes, to starship cybernetics.

We wrote the booklet to supply the practitioner with compelling rules for orchestrating synthetic intelligence, statistical, and mathematical algorithms to provide totally built-in determination help structures. Novel strategies of specific curiosity are: a data illustration that offers a unifying framework for multi-strategy reasoning and simulation, a strong remedy of uncertainty, monitor-assess-plan-execute choice loops for regimen and quick-reaction judgements, 8 options for automatic discovery of unknown unknowns, point four (process refinement) info fusion, and a self-aware wisdom base that “knows what it knows".

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Applications of Artificial Intelligence for Decision-Making by Patrick Talbot,Dennis Ellis


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