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The action learning approach was originated by Reg Revans. [6] [7] Formative influences for Revan included his time working as a physicist at the University of Cambridge, wherein he noted the importance of each scientist describing their own ignorance, sharing experiences, and communally reflecting in order to learn. [8]
Recent action learning methods take various approaches and employ a wide variety of tools from different areas of artificial intelligence and computational logic.As an example of a method based on propositional logic, we can mention SLAF (Simultaneous Learning and Filtering) algorithm, [1] which uses agent's observations to construct a long propositional formula over time and subsequently ...
CogniTAO is a decision making engine it based on BDI (belief-desire-intention), it includes built in teamwork capabilities. Soar is a symbolic cognitive architecture. It is based on condition-action rules known as productions. Programmers can use the Soar development toolkit for building both reactive and planning agents or any compromise ...
Sample flowchart representing a decision process when confronted with a lamp that fails to light. In psychology, decision-making (also spelled decision making and decisionmaking) is regarded as the cognitive process resulting in the selection of a belief or a course of action among several possible alternative options.
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 ...
Proficient performers adapt better to changing circumstances but still rely on rule-based decision-making for actions. The transition to expertise requires further letting go of rules and procedures while gaining more direct experience learning which intuited perspectives work in which kind of situation. Stage 5: Expertise
Decision intelligence is based on the recognition that, in many organizations, decision-making could be improved if a more structured approach were used. Decision intelligence seeks to overcome a decision-making "complexity ceiling", which is characterized by a mismatch between the sophistication of organizational decision-making practices and ...
A learning automaton is an adaptive decision-making unit situated in a random environment that learns the optimal action through repeated interactions with its environment. The actions are chosen according to a specific probability distribution which is updated based on the environment response the automaton obtains by performing a particular ...