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Vicarious Problem Solving
Vicarious problem-solving is a rational actor approach developed by Thomas Schelling Thomas Crombie Schelling (April 14, 1921 – December 13, 2016) was an American economist and professor of foreign policy, national security, nuclear strategy, and arms control at the School of Public Policy at the University of Maryland, Coll .... In economic reasoning it is an educated common sense where one informally models the situation assuming agents ‘operate in a purposeful manner, aware of their values and alert to their opportunities’. Using this approach, the researcher figures out what an agent might do by imagining him or herself in the person's position, as best he or she understands that position, and decides what that person will likely do, given that person's aims, values, objectives and constraints. Vicarious problem solving has been criticised as a type of armchair theorising. References Economic methodology {{econ-theory-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Rational Actor
A rational agent or rational being is a person or entity that always aims to perform optimal actions based on given premises and information. A rational agent can be anything that makes decisions, typically a person, firm, machine, or software. The concept of rational agents can be found in various disciplines such as artificial intelligence, cognitive science, decision theory, economics, ethics, game theory, and the study of practical reason. Economics In reference to economics, rational agent refers to hypothetical consumers and how they make decisions in a free market. This concept is one of the assumptions made in neoclassical economic theory. The concept of economic rationality arises from a tradition of marginal analysis used in neoclassical economics. The idea of a rational agent is important to the philosophy of utilitarianism, as detailed by philosopher Jeremy Bentham's theory of the felicific calculus, also known as the hedonistic calculus. The action a rational ag ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |