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A heuristic technique (/hjʉˈrɪstɨk/; Greek: "Εὑρίσκω", "find" or "discover"), sometimes called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical methodology not guaranteed to be optimal or perfect, but sufficient for the immediate goals. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics can be mental shortcuts that ease the cognitive load of making a decision. Examples of this method include using a rule of thumb, an educated guess, an intuitive judgment, stereotyping, profiling, or common sense. More precisely, heuristics are strategies using readily accessible, though loosely applicable, information to control problem solving in human beings and machines.[1] Example[edit] Here are a few other commonly used heuristics, from George Pólya's 1945 book, How to Solve It:[2] Psychology[edit] Well known[edit] Lesser known[edit]

Related:  Extra Pounds□Metacognition & Chris Argyris Models of ThinkingCritical thinkingme

how to be creative Accept that you’ve got the creative urge and it’s never going to go away. Make friends with it. Drink some tequila if you need to. Commit to the process. Rome wasn’t built in a day. Schema (psychology) In psychology and cognitive science, a schema (plural schemata or schemas) describes an organized pattern of thought or behavior that organizes categories of information and the relationships among them.[1] It can also be described as a mental structure of preconceived ideas, a framework representing some aspect of the world, or a system of organizing and perceiving new information.[2] Schemata influence attention and the absorption of new knowledge: people are more likely to notice things that fit into their schema, while re-interpreting contradictions to the schema as exceptions or distorting them to fit. Schemata have a tendency to remain unchanged, even in the face of contradictory information. Schemata can help in understanding the world and the rapidly changing environment.[3] People can organize new perceptions into schemata quickly as most situations do not require complex thought when using schema, since automatic thought is all that is required.[3] Main article: Schema Therapy

Critical Thinking On The Web Top Ten Argument Mapping Tutorials. Six online tutorials in argument mapping, a core requirement for advanced critical thinking.The Skeptic's Dictionary - over 400 definitions and essays. The Fallacy Files by Gary Curtis.

How to Solve It How to Solve It (1945) is a small volume by mathematician George Pólya describing methods of problem solving.[1] Four principles[edit] How to Solve It suggests the following steps when solving a mathematical problem: First, you have to understand the problem.[2]After understanding, then make a plan.[3]Carry out the plan.[4]Look back on your work.[5] How could it be better? If this technique fails, Pólya advises:[6] "If you can't solve a problem, then there is an easier problem you can solve: find it. Top of the Web Follow Springo on : Find top sites My top sites Top Sites News Music Distinguishing Between Inferences and Assumptions To be skilled in critical thinking is to be able to take one’s thinking apart systematically, to analyze each part, assess it for quality and then improve it. The first step in this process is understanding the parts of thinking, or elements of reasoning. These elements are: purpose, question, information, inference, assumption, point of view, concepts, and implications. They are present in the mind whenever we reason. To take command of our thinking, we need to formulate both our purpose and the question at issue clearly.

Abductive reasoning Abductive reasoning (also called abduction,[1] abductive inference[2] or retroduction[3]) is a form of logical inference that goes from an observation to a hypothesis that accounts for the observation, ideally seeking to find the simplest and most likely explanation. In abductive reasoning, unlike in deductive reasoning, the premises do not guarantee the conclusion. One can understand abductive reasoning as "inference to the best explanation".[4] The fields of law,[5] computer science, and artificial intelligence research[6] renewed interest in the subject of abduction. Diagnostic expert systems frequently employ abduction.

Leadership Skills Course: Strategies for Developing a Leadership Identity - Courses Training Learn This leadership skills training course is for business leaders who have a team or organisation to lead and inspire. You’ll gain leader identity development and visual, vocal, verbal and think-on-your-feet skills to inspire your people to take action. Develop your understanding and skill in carrying yourself like a leader, in sounding like a leader, and in crafting and delivering simple messages. We’ll also discuss ‘environment versatility’ - how to listen, speak and present in very informal to very formal environments. Course content

Why Americans Are the Weirdest People in the World IN THE SUMMER of 1995, a young graduate student in anthropology at UCLA named Joe Henrich traveled to Peru to carry out some fieldwork among the Machiguenga, an indigenous people who live north of Machu Picchu in the Amazon basin. The Machiguenga had traditionally been horticulturalists who lived in single-family, thatch-roofed houses in small hamlets composed of clusters of extended families. For sustenance, they relied on local game and produce from small-scale farming. They shared with their kin but rarely traded with outside groups. While the setting was fairly typical for an anthropologist, Henrich’s research was not.

The work of Chris Argyris contents: introduction · life · theories of action: theory in use and espoused theory · single-loop and double-loop learning · model I and model II · organizational learning · conclusion · further reading and references · links · cite Chris Argyris has made a significant contribution to the development of our appreciation of organizational learning, and, almost in passing, deepened our understanding of experiential learning. On this page we examine the significance of the models he developed with Donald Schön of single-loop and double-loop learning, and how these translate into contrasting models of organizational learning systems.

Inductive reasoning Inductive reasoning (as opposed to deductive reasoning or abductive reasoning) is reasoning in which the premises seek to supply strong evidence for (not absolute proof of) the truth of the conclusion. While the conclusion of a deductive argument is certain, the truth of the conclusion of an inductive argument is probable, based upon the evidence given.[1] The philosophical definition of inductive reasoning is more nuanced than simple progression from particular/individual instances to broader generalizations.

Coaching Skills for Managers Course - Courses Training Learn Are you ready to bring out the best in your people? Workplace coaching is a technique for unlocking potential and creating peak performance. Learn the key skills of coaching so you can help your team solve tough problems, set goals, and learn on the job. The Secret Life of a Food Stamp Jump to navigation  Menu 🔊 Listen The Secret Life of a Food StampFood Stamps The Secret Life of a Food Stamp The Secret Life of a Food Stamp Mental Heuristics Page A heuristic is a "rule-of-thumb", advice that helps an AI program or human think and act more efficiently by directing thinking in an useful direction. Some of these heuristics are age-old wisdom, bordering on cliche, but most are actually helpful. If you want something done, do it yourself Comment: Obviously true, and doing it is usually very good for your self esteem.