Evaluating collaborative rationality-based decisions: a literature review

نویسندگان

چکیده

Decision making has evolved throughout the years, nowadays harnessing massive amounts and types of data through unprecedented capabilities science, analytics, machine learning, artificial intelligence. This potentially led to higher quality more informed decisions based on collaborative rationality between humans machines, no longer bounded by cognitive capacity limited each their own. However, multiplicity modes collaboration interaction machines also increased complexity decision making, consequentially complicating ex-ante ex-post evaluation. Nevertheless, evaluation remains crucial enable human rationalization, sensemaking. paper addresses need for research why how evaluate rationality-based decisions, setting stage future studies in developing holistic solutions. By analyzing four relevant streams literature: 1) classical theory organizational management, 2) neuroscience, 3) AI ML, 4) data-driven we highlight limitations current literature considering a perspective. Finally, elaborate theoretical underpinnings from knowledge base considerations evaluating decisions.

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ژورنال

عنوان ژورنال: Procedia Computer Science

سال: 2023

ISSN: ['1877-0509']

DOI: https://doi.org/10.1016/j.procs.2023.01.335