JOURNAL ARTICLE

Decision Making in Dynamic Information Environments

Tiago Oliveira

Year: 2017 Journal:   INTELIGENCIA ARTIFICIAL Vol: 20 (59)Pages: 5-7   Publisher: Asociación Española para la Inteligencia Artificial

Abstract

If there is no knowledge about the state of the world, getting the appropriate response to an event becomes impossible. Situations of uncertainty are common in the most varied environments and have the potential to impair or even stop the decision-making process. Thus, reaching an outcome in such situations requires the development of decision frameworks that account for missing, contradictory or uncertain information.

Keywords:
Computer science Data science

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Topics

Bayesian Modeling and Causal Inference
Physical Sciences →  Computer Science →  Artificial Intelligence
AI-based Problem Solving and Planning
Physical Sciences →  Computer Science →  Artificial Intelligence
Multi-Criteria Decision Making
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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