|
Problem Shaping
Problem shaping means revising a question so that the solution process can begin or continue. It is part of the larger problem process that includes problem finding and problem solving. Problem shaping (or problem framing) often involves the application of critical thinking. Algorithmic approach to technical problems reformulation was introduced by G. S. Altshuller in ARIZ. See also * Adaptive reasoning * Abductive reasoning * Analogy * Artificial intelligence * Brainstorming * Common sense * Common sense reasoning * Creative problem solving * Cyc * Deductive reasoning * Divergent thinking * Educational psychology * Executive function * Facilitation (business) * General Problem Solver * Inductive reasoning * Innovation * Intelligence amplification * Inquiry * Morphological analysis (problem-solving) * Newell, Allen * PDCA * Problem statement * Problem structuring methods * Research question * Simon, Herbert * Soar (cognitive architecture) * Thought * Transdi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Problem Finding
Problem finding is part of the larger problem process that includes problem shaping and problem solving. Problem finding requires intellectual vision and insight into what is missing. Problem finding plays a major role in application of creativity. Different terms have been used for problem finding in literature including problem discovery, problem formulation, problem identification, problem construction, and problem posing. It has been studied in many fields. Mathematics and science prefer to the term problem posing. Processes in problem finding Basadur distinguished ''problem discovery'' and ''problem formulation''; then later ''problem generation'' and ''problem conceptualization''. Runco and Chand distinguish ''problem identification'' and ''problem definition''. Scholars distinguish between ''well-defined'' and ''ill-defined'' problems. Briggs and Reinig defined a well-defined solution in terms of space solution space. Pretz, Naples, and Sternberg defined a well-defined ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Facilitation (business)
Facilitation in business, organizational development and consensus decision-making refers to the process of designing and running a meeting according to a previously agreed set of requirements. Facilitation concerns itself with all the tasks needed to reach a productive and impartial meeting outcome that reflects the agreed objectives and deliverables defined upfront by the meeting owner or client. Facilitation involves leading a meeting on behalf of someone else. This is what distinguishes it from meeting science, which aims to develop the autonomy of meeting initiators and leaders. Nonetheless, facilitation applies many concepts and tools widely used in meeting science such as icebreakers. Areas of application Facilitation is "used in a wide range of situations and occupations, including workplaces, leisure and health activities, organizational planning and community development". Facilitation serves the needs of any group who are meeting with a common purpose, whether it b ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Soar (cognitive Architecture)
Soar is a cognitive architecture, originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of cognitive capabilities found in humans, such as decision making, problem solving, planning, and natural-language understanding. It is both a theory of what cognition is and a computational implementation of that theory. Since its beginnings in 1983 as John Laird’s thesis, it has been widely used by AI researchers to create intelligent agents and cognitive models of different aspects of human behavior. The most current and comprehensive description of Soar is the 2012 book, ''The Soar Cognitive Architecture.'' Rosenbloom continued to serve as co-principal investigator after moving to Stanford Univ ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Research Question
A research question is "a question that a research project sets out to answer". Choosing a research question is an essential element of both quantitative and qualitative research. Investigation will require data collection and analysis, and the methodology for this will vary widely. Good research questions seek to improve knowledge on an important topic, and are usually narrow and specific. To form a research question, one must determine what type of study will be conducted such as a qualitative, quantitative, or mixed study. Additional factors, such as project funding, may not only affect the research question itself but also when and how it is formed during the research process. Literature suggests several variations on criteria selection for constructing a research question, such as the FINER or PICOT methods. Definition The answer to a research question will help address a research problem or question. Specifying a research question, "the central issue to be resolved by ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Problem Structuring Methods
Problem structuring methods (PSMs) are a group of techniques used to model or to map the nature or structure of a situation or state of affairs that some people want to change. PSMs are usually used by a group of people in collaboration (rather than by a solitary individual) to create a consensus about, or at least to facilitate negotiations about, what needs to change. Some widely adopted PSMs include * soft systems methodology * the strategic choice approach * strategic options development and analysis (SODA) Unlike some problem solving methods that assume that all the relevant issues and constraints and goals that constitute the problem are defined in advance or are uncontroversial, PSMs assume that there is no single uncontested representation of what constitutes the problem. PSMs are mostly used with groups of people, but PSMs have also influenced the coaching and counseling of individuals. History The term "problem structuring methods" as a label for these techniques ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Problem Statement
A problem statement is a description of an issue to be addressed, or a condition to be improved upon. It identifies the gap between the current problem and goal. The first condition of solving a problem is understanding the problem, which can be done by way of a problem statement. Problem statements are used by most businesses and organizations to execute process improvement projects. Purpose The main purpose of a problem statement is to identify and explain the problem. Another function of the problem statement is as a communication device. Before the project begins, stakeholders verify the problem and goals are accurately described in the problem statement. Once approved, the project reviews it. This also helps define project scope. The problem statement is referenced throughout the project to establish focus within the project team and verify they stay on track. At the end of the project, it is revisited to confirm the solution indeed solves the problem. The problem state ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
PDCA
PDCA or plan–do–check–act (sometimes called plan–do–check–adjust) is an iterative design and management method used in business for the control and continual improvement of processes and products. It is also known as the Shewhart cycle, or the control circle/cycle. Another version of this PDCA cycle is OPDCA. The added stands for ''observation'' or as some versions say: "Observe the current condition." This emphasis on observation and current condition has currency with the literature on lean manufacturing and the Toyota Production System. The PDCA cycle, with Ishikawa's changes, can be traced back to S. Mizuno of the Tokyo Institute of Technology in 1959. The PDCA cycle is also known as PDSA cycle (where S stands for ''study''). It was an early means of representing the task areas of traditional quality management. The cycle is sometimes referred to as the Shewhart / Deming cycle since it originated with physicist Walter Shewhart at the Bell Telephone Laborator ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Allen Newell
Allen Newell (March 19, 1927 – July 19, 1992) was an American researcher in computer science and cognitive psychology at the RAND Corporation and at Carnegie Mellon University's School of Computer Science, Tepper School of Business, and Department of Psychology. He, Herbert A. Simon, and Cliff Shaw contributed to the Information Processing Language (1956) and two of the earliest AI programs, the Logic Theorist (1956) and the General Problem Solver (1957). He and Simon were awarded the ACM's A.M. Turing Award in 1975 for their contributions to artificial intelligence and the psychology of human cognition. Early studies Newell completed his bachelor's degree in physics from Stanford in 1949. He was a graduate student at Princeton University from 1949 to 1950, where he studied mathematics. Due to his early exposure to an unknown field known as game theory and the experiences from the study of mathematics, he was convinced that he would prefer a combination of experime ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Morphological Analysis (problem-solving)
Morphological analysis or general morphological analysis is a method for exploring possible solutions to a multi-dimensional, non-quantified complex problem. It was developed by Swiss astronomer Fritz Zwicky.Ritchey, T. (1998)General Morphological Analysis: A general method for non-quantified modeling. General morphology has found use in fields including engineering design, technological forecasting, organizational development and policy analysis. Overview General morphology was developed by Fritz Zwicky, the Bulgarian-born, Swiss-national astrophysicist based at the California Institute of Technology. Among others, Zwicky applied morphological analysis to astronomical studies and jet and rocket propulsion systems. As a problem-structuring and problem-solving technique, morphological analysis was designed for multi-dimensional, non-quantifiable problems where causal modelling and simulation do not function well, or at all. Zwicky developed this approach to address seeming ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Inquiry
An inquiry (also spelled as enquiry in British English) is any process that has the aim of augmenting knowledge, resolving doubt, or solving a problem. A theory of inquiry is an account of the various types of inquiry and a treatment of the ways that each type of inquiry achieves its aim. Inquiry theories Deduction When three terms are so related to one another that the last is wholly contained in the middle and the middle is wholly contained in or excluded from the first, the extremes must admit of perfect syllogism. By 'middle term' I mean that which both is contained in another and contains another in itself, and which is the middle by its position also; and by 'extremes' (a) that which is contained in another, and (b) that in which another is contained. For if ''A'' is predicated of all ''B'', and ''B'' of all ''C'', ''A'' must necessarily be predicated of all ''C''. ... I call this kind of figure the First. (Aristotle, ''Prior Analytics'', 1.4) Induction Inductive ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Intelligence Amplification
Intelligence amplification (IA) (also referred to as cognitive augmentation, machine augmented intelligence and enhanced intelligence) is the use of information technology in augmenting human intelligence. The idea was first proposed in the 1950s and 1960s by cybernetics and early computer pioneers. IA is sometimes contrasted with AI (artificial intelligence), that is, the project of building a human-like intelligence in the form of an autonomous technological system such as a computer or robot. AI has encountered many fundamental obstacles, practical as well as theoretical, which for IA seem moot, as it needs technology merely as an extra support for an autonomous intelligence that has already proven to function. Moreover, IA has a long history of success, since all forms of information technology, from the abacus to writing to the Internet, have been developed basically to extend the information processing capabilities of the human mind (see extended mind and distributed cog ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
