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Boosting (behavioral Science)
Boosting is a behavioral science technique that aims to improve a person's ability to initiate and control their actions, and ability to make informed decisions. It is an intervention or strategy designed to enhance individuals' decision-making capabilities, cognitive skills, or behaviors by improving their competences. Training in the ability to interpret statistical information, particularly Bayesian reasoning, as well as training the basic accounting heuristics and procedural routines. AI-powered boosting refers to the use of artificial intelligence tools and systems for boosting. Unlike manual boosting, which relies on human-delivered interventions, AI-powered boosting leverages automation Automation describes a wide range of technologies that reduce human intervention in processes, mainly by predetermining decision criteria, subprocess relationships, and related actions, as well as embodying those predeterminations in machine ... of providing decision aids that guide ...
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Behavioral Science
Behavioural science is the branch of science concerned with Human behavior, human behaviour.Hallsworth, M. (2023). A manifesto for applying behavioural science. ''Nature Human Behaviour'', ''7''(3), 310-322. While the term can technically be applied to the study of behaviour amongst all living organisms, it is nearly always used with reference to humans as the primary target of investigation (though animals may be studied in some instances, e.g. invasive techniques). The behavioural sciences sit in between the conventional Natural science, natural sciences and social studies in terms of scientific rigor. It encompasses fields such as psychology, Behavioral neuroscience, neuroscience, linguistics, and Behavioral economics, economics.Sanders, M., Snijders, V., & Hallsworth, M. (2018). Behavioural science and policy: where are we now and where are we going?. ''Behavioural Public Policy'', ''2''(2), 144-167. Scope The behavioural sciences encompass both natural and social scientif ...
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Bayesian Reasoning
Bayesian probability ( or ) is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief. The Bayesian interpretation of probability can be seen as an extension of propositional logic that enables reasoning with hypotheses; that is, with propositions whose truth or falsity is unknown. In the Bayesian view, a probability is assigned to a hypothesis, whereas under frequentist inference, a hypothesis is typically tested without being assigned a probability. Bayesian probability belongs to the category of evidential probabilities; to evaluate the probability of a hypothesis, the Bayesian probabilist specifies a prior probability. This, in turn, is then updated to a posterior probability in the light of new, relevant data (evidence). The Bayesian interpretation provides a standard set of procedures a ...
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Artificial Intelligence
Artificial intelligence (AI) is the capability of computer, computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to machine perception, perceive their environment and use machine learning, learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon (company), Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Amazon Alexa, Alexa); autonomous vehicles (e.g., Waymo); Generative artificial intelligence, generative and Computational creativity, creative tools (e.g., ChatGPT and AI art); and Superintelligence, superhuman play and analysis in strategy games (e.g., ...
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Automation
Automation describes a wide range of technologies that reduce human intervention in processes, mainly by predetermining decision criteria, subprocess relationships, and related actions, as well as embodying those predeterminations in machines. Automation has been achieved by various means including Mechanical system, mechanical, hydraulic, pneumatic, electrical, electronic devices, and computers, usually in combination. Complicated systems, such as modern Factory, factories, airplanes, and ships typically use combinations of all of these techniques. The benefit of automation includes labor savings, reducing waste, savings in electricity costs, savings in material costs, and improvements to quality, accuracy, and precision. Automation includes the use of various equipment and control systems such as machinery, processes in factories, boilers, and heat-treating ovens, switching on telephone networks, steering, Stabilizer (ship), stabilization of ships, aircraft and other applic ...
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Nudge Theory
Nudge theory is a concept in behavioral economics, decision making, behavioral policy, social psychology, consumer behavior, and related behavioral sciences that proposes adaptive designs of the decision environment (choice architecture) as ways to Social influence, influence the behavior and decision making, decision-making of groups or individuals. Nudging contrasts with other ways to achieve compliance, such as education, legislation or enforcement. The nudge concept was popularized in the 2008 book ''Nudge (book), Nudge: Improving Decisions About Health, Wealth, and Happiness'', by behavioral economist Richard Thaler and legal scholar Cass Sunstein, two American scholars at the University of Chicago. It has influenced British and American politicians. Several nudge units exist around the world at the national level (UK, Germany, Japan, and others) as well as at the international level (e.g. World Bank, United Nations, UN, and the European Commission). There is ongoing debate o ...
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Ecological Rationality
Ecological rationality is a particular account of practical rationality, which in turn specifies the norms of rational action – what one ought to do in order to act rationally. The presently dominant account of practical rationality in the social and behavioral sciences such as economics and psychology, rational choice theory, maintains that practical rationality consists in making decisions in accordance with some fixed rules, irrespective of context. Ecological rationality, in contrast, claims that the rationality of a decision depends on the circumstances in which it takes place, so as to achieve one's goals in this particular context. What is considered rational under the rational choice account thus might not always be considered rational under the ecological rationality account. Overall, rational choice theory puts a premium on internal logical consistency whereas ecological rationality targets external performance in the world. The term ecologically rational is only etymolog ...
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