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Decision-making Models
Decision-making as a term is a scientific process when that decision will affect a policy affecting an entity. Decision-making models are used as a method and process to fulfill the following objectives: * Every team member is clear about how a decision will be made * The roles and responsibilities for the decision making * Who will own the process to make the final decision These models help the team to plan the process and the agenda for each decision-making meeting, and the understanding of the process and collaborative approach helps in achieving the support of the team members for the final decision to ensure commitment for the same. Types There are several models of decision-making: Economic rationality model When using this model, the following conditions are assumed. # The decision will be completely rational in a means-ends sense # There is a complete and consistent system of preferences that allows a choice among alternatives # There is a complete awareness of all the ...
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Decision-making
In psychology, decision-making (also spelled decision making and decisionmaking) is regarded as the Cognition, cognitive process resulting in the selection of a belief or a course of action among several possible alternative options. It could be either Rationality, rational or irrational. The decision-making process is a reasoning process based on assumptions of value (ethics and social sciences), values, preferences and beliefs of the decision-maker. Every decision-making process produces a final choice, which may or may not prompt action. Research about decision-making is also published under the label problem solving, particularly in European psychological research. Overview Decision-making can be regarded as a Problem solving, problem-solving activity yielding a solution deemed to be optimal, or at least satisfactory. It is therefore a process which can be more or less Rationality, rational or Irrationality, irrational and can be based on explicit knowledge, explicit or tacit ...
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Means–ends Analysis
Means–ends analysis (MEA) is a problem solving technique used commonly in artificial intelligence (AI) for limiting search in AI programs. It is also a technique used at least since the 1950s as a creativity tool, most frequently mentioned in engineering books on design methods. MEA is also related to means–ends chain approach used commonly in consumer behavior analysis. It is also a way to clarify one's thoughts when embarking on a mathematical proof. Problem-solving as search An important aspect of intelligent behavior as studied in AI is ''goal-based'' problem solving, a framework in which the solution to a problem can be described by finding a sequence of ''actions'' that lead to a desirable goal. A goal-seeking system is supposed to be connected to its outside environment by sensory channels through which it receives information about the environment and motor channels through which it acts on the environment. (The term "afferent" is used to describe "inward" sensory ...
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Herbert A
Herbert may refer to: People * Herbert (musician), a pseudonym of Matthew Herbert * Herbert (given name) * Herbert (surname) Places Antarctica * Herbert Mountains, Coats Land * Herbert Sound, Graham Land Australia * Herbert, Northern Territory, a rural locality * Herbert, South Australia. former government town * Division of Herbert, an electoral district in Queensland * Herbert River, a river in Queensland * County of Herbert, a cadastral unit in South Australia Canada * Herbert, Saskatchewan, Canada, a town * Herbert Road, St. Albert, Canada New Zealand * Herbert, New Zealand, a town * Mount Herbert (New Zealand) United States * Herbert, Illinois, an unincorporated community * Herbert, Michigan, a former settlement * Herbert Creek, a stream in South Dakota * Herbert Island, Alaska Arts, entertainment, and media Fictional entities * Herbert (Disney character) * Herbert Pocket, a character in the Charles Dickens novel ''Great Expectations'' * Herbert West ...
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Cognitive Neuroscience
Cognitive neuroscience is the scientific field that is concerned with the study of the Biology, biological processes and aspects that underlie cognition, with a specific focus on the neural connections in the brain which are involved in mental processes. It addresses the questions of how cognitive activities are affected or controlled by neural circuits in the brain. Cognitive neuroscience is a branch of both neuroscience and psychology, overlapping with disciplines such as behavioral neuroscience, cognitive psychology, physiological psychology and affective neuroscience.Gazzaniga 2002, p. xv Cognitive neuroscience relies upon theories in cognitive science coupled with evidence from neurobiology, and Computational neuroscience, computational modeling. Parts of the brain play an important role in this field. Neurons play the most vital role, since the main point is to establish an understanding of cognition from a neural perspective, along with the different lobes of the cerebra ...
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Cross-cultural Differences In Decision Making
Decision-making is a mental activity which is an integral part of planning and action taking in a variety of contexts and at a vast range of levels, including, but not limited to, budget planning, education planning, policy making, and climbing the career ladder. People all over the world engage in these activities. The underlying cross-cultural differences in decision-making can be a great contributing factor to efficiency in cross-cultural communications, negotiations, and conflict resolution. Culture in decision-making Over-generalization in research on decision-making A considerable amount of literature in cognitive science has been devoted to the investigation of the nature of human decision-making. However, a large portion of it discusses the results obtained from a cultural subject pool, predominantly from a pool of American undergraduate students. Notwithstanding this limitation, the results are usually implicitly or explicitly generalized, which gives rise to the hom ...
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Decision Model
A decision model in decision theory is the starting point for a decision method within a formal (axiomatic) system. Decision models contain at least one action axiom. An action is in the form "IF is true, THEN do ". An action axiom tests a condition (antecedent) and, if the condition has been met, then (consequent) it suggests (mandates) an action: from knowledge to action. A decision model may also be a network of connected decisions, information and knowledge that represents a decision-making approach that can be used repeatedly (such as one developed using the Decision Model and Notation standard). Excepting very simple situations, successful action axioms are used in an iterative manner. For example, for decision analysis, the sole action axiom occurs in the Evaluation stage of a four-step cycle: Formulate, Evaluate, Interpret/Appraise, Refine. Decision models are used both to model a decision being made once, as well as to model a repeatable decision-making approach that ...
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Decision-making Software
Decision-making software (DM software) is software for computer applications that help individuals and organisations make choices and take decisions, typically by ranking, prioritizing or choosing from a number of options. An early example of DM software was described in 1973.Dyer, JS (1973), "A time-sharing computer program for the solution of the multiple criteria problem", ''Management Science'', 19: 1379-83.Wallenius, J, Dyer, JS, Fishburn, PC, Steuer, RE, Zionts, S and Deb, K (1992), "Multiple criteria decision making, multiattribute utility theory: The next ten years", ''Management Science'', 38: 645-54. Before the advent of the World Wide Web, most DM software was spreadsheet-based, with the first web-based DM software appearing in the mid-1990s.Koksalan, M, Wallenius, J, and Zionts, S, ''Multiple Criteria Decision Making: From Early History to the 21st Century'', World Scientific Publishing: Singapore, 2011. Nowadays, many DM software products (mostly web-based) are availabl ...
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Emotional Choice Theory
Emotional choice theory (also referred to as the "logic of affect") is a Social science, social scientific action model to explain human decision-making. Its foundation was laid in Robin Markwica’s monograph ''Emotional Choices'' published by Oxford University Press in 2018. It is associated with its own method for identifying emotions and tracing their influences on decision-making. Emotional choice theory is considered an alternative model to rational choice theory and Social constructivism, constructivist perspectives. Overview Markwica suggests that political and social scientists have generally employed two main action models to explain human decision-making: On the one hand, rational choice theory (also referred to as the "logic of consequences") views people as ''homo economicus'' and assumes that they make decisions to maximize benefit and to minimize cost. On the other hand, a constructivist perspective (also known as the "logic of appropriateness") regards people as ''h ...
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Rational Choice Theory
Rational choice modeling refers to the use of decision theory (the theory of rational choice) as a set of guidelines to help understand economic and social behavior. The theory tries to approximate, predict, or mathematically model human behavior by analyzing the behavior of a rational actor facing the same costs and benefits.Gary Browning, Abigail Halcli, Frank Webster (2000). ''Understanding Contemporary Society: Theories of the Present'', London: Sage Publications. Rational choice models are most closely associated with economics, where mathematical analysis of behavior is standard. However, they are widely used throughout the social sciences, and are commonly applied to cognitive science, criminology, political science, and sociology. Overview The basic premise of rational choice theory is that the decisions made by individual actors will collectively produce aggregate social behaviour. The theory also assumes that individuals have preferences out of available choice ...
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Decision-making Under Deep Uncertainty
Decision making under deep uncertainty (DMDU) is a decision science practice and analytical framework that evaluates potential solutions across multiple plausible future scenarios rather than attempting to predict a single future outcome. This approach is particularly valuable for strategic planning, public policy, and risk management when stakeholders, analysts, and decision-makers cannot reach consensus about future conditions or when traditional forecasting methods are inadequate due to fundamental uncertainties. DMDU employs simulation models and scenario planning to explore potential futures through multiple "States of the World" (SOWs) and alternative scenarios, enabling comparison of how different policy options or decisions might perform across diverse possible outcomes. The methodology focuses on identifying robust and adaptive decisions that can perform well across a range of uncertain conditions, rather than optimizing for a single predicted future. The term "deep unc ...
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