Automatedreasoning is an area of computer science and mathematical logic dedicated to understand different aspects of reasoning . The study in automatedreasoning helps produce software which allows computers to reason completely, or nearly completely, automatically. Although automatedreasoning is considered ... science and even philosophy . The most developed subareas of automatedreasoning are automated theorem proving and the less automated but more pragmatic subfield of interactive theorem proving and automated proof checking viewed as guaranteed correct reasoning under fixed assumptions . Extensive work has also been done in reasoning by analogy Induction philosophy induction and Abductive reasoning abduction . Other important topics are reasoning under uncertainty and Non monotonic logic non monotonic ... than being just an automated theorem prover. Tools and techniques of automatedreasoning include ... of formal logic played a big role in the field of automatedreasoning which itself led to the development ... reasoning, or automated deduction . ref name cornell http www.cs.cornell.edu info projects ... and Early History of Automated Deduction, in Automation of Reasoning, eds. Siekmann and Wrightson, vol. 1, 1 28 at p. 15 ref . Automatedreasoning, although a significant and popular area of research ... . Retrieved 2010 10 23 ref Applications Automatedreasoning has been most commonly used to build ... than the one provided by Whitehead and Russel. Automatedreasoning programs are being applied to solve ... reasoningautomatedAutomatedReasoning , Stanford Encyclopedia . Retrieved on 2010 10 10 ref See ... links Conferences and workshops International Joint Conference on AutomatedReasoning IJCAR Conference on Automated Deduction CADE International Conference on AutomatedReasoning with Analytic Tableaux ... Topics in AutomatedReasoning Journals Journal of AutomatedReasoning Communities Association for AutomatedReasoning AAR computable knowledge DEFAULTSORT AutomatedReasoning Category Theoretical computer ... more details
The Association for AutomatedReasoning AAR is a non profit corporation that serves as an association of researchers working on automated theorem proving , automatedreasoning , and related fields. It organizes the Conference on Automated Deduction CADE and International Joint Conference on AutomatedReasoning IJCAR conferences and publishes a roughly quarterly newsletter. External links http www.AARInc.org AAR web page Comp sci stub Category Computer science organizations ... more details
The Handbook of AutomatedReasoning ISBN 0444508139, 2128 pages is a collection of survey article s on the field of automatedreasoning . Published on June 2001 by MIT Press , it is edited by John Alan Robinson and Andrei Voronkov researcher Andrei Voronkov . Volume 1 describes methods for classical logic , first order logic with equality and other theories, and inductive reasoning induction . Volume 2 covers Higher order logic higher order , Classical logic non classical and other kinds of logic. External links http www.voronkov.com manchester handbook ar index.html Handbook s home page dead link http mitpress.mit.edu catalog item default.asp?sid 6882E9F5 587E 4645 98D7 149A921614E7&ttype 2&tid 8574 MIT press page Category 2001 books Category Essay collections Category Logic books Category Computer science books compu book stub ... more details
Italic title The Journal of AutomatedReasoning was established in 1983 by Larry Wos who was its editor in chief until 1992. ref citation url http books.google.co.uk books?id BG6uMcioN7EC&pg PR7 title Automatedreasoning and its applications author Robert Veroff ref It covers research and advances in automatedreasoning &mdash mechanical verification of theorem s and other deductions in classical and non classical logic . ref citation url http books.google.co.uk books?id 9IFMCsQJyscC&pg SA61 PA24 title Computer science handbook author Allen B. Tucker ref The journal is published by Springer Science Business Media Springer . As of 2010, the editor in chief is Tobias Nipkow . The journal s impact factor in 2009 was 1.926, and it is indexed by several science indexing services, including DBLP , the Science Citation Index and SCOPUS . ref cite web title Journal of AutomatedReasoning url http www.springer.com computer theoretical computer science journal 10817 publisher Springer accessdate 2 August 2010 ref References reflist journal stub Category Computer science journals Category Logic journals Category English language journals Category Publications established in 1983 Category Logic in computer science Category Formal methods publications ... more details
International Joint Conference on AutomatedReasoning IJCAR is a series of conferences on the topics of automatedreasoning , automated deduction , and related fields. It is organized semi regularly as a merger of other meetings. IJCAR replaces those independent conferences in the years it takes place. The conference is organized by Conference on Automated Deduction CADE Inc. , and CADE has always been one of the conferences partaking in IJCAR. The first IJCAR was held in Siena , Italy in 2001 as a merger of CADE, International Workshop on First Order Theorem Proving FTP , and TABLEAUX . The second IJCAR was held in Cork city Cork , Ireland in 2004 as a merger of CADE, FTP, TABLEAUX, FroCoS and CALCULEMUS . The third IJCAR was held as an independent subconference of the fourth Federated Logic Conference in Seattle , USA , and merged CADE, FTP, TABLEAUX, FroCoS and TPHOLs . The fourth IJCAR was held in Sydney , Australia in 2008, and merged CADE, FroCoS, FTP and TABLEAUX. External links http www.ijcar.org IJCAR Home Page http ijcar06.uni koblenz.de IJCAR 2006 Home Page http www.ijcar.org 2008 IJCAR 2008 Home Page Category Theoretical computer science conferences Category Logic conferences comp sci stub ... more details
primary sources date September 2011 The International Conference on AutomatedReasoning with Analytic Tableaux and Related Methods TABLEAUX is an annual international academic conference that deals with all aspects of automatedreasoning with analytic tableaux . Periodically, it joins with Conference on Automated Deduction CADE and TPHOLs into the International Joint Conference on AutomatedReasoning IJCAR . The first table convened in 1992. Since 1995, the proceedings of this conference have been published by Springer Science Business Media Springer s Lecture Notes in Artificial Intelligence LNAI series. In August 2006 TABLEAUX was part of the Federated Logic Conference in Seattle , United States of America USA . The following TABLEAUX will be held in July 2007 in Aix en Provence , France . External links http i12www.ira.uka.de TABLEAUX TABLEAUX home page Category Theoretical computer science conferences Category Logic conferences comp sci stub compu conference stub ... more details
provers Automated theorem proving Theorem provers use automatedreasoning techniques to determine ... and isolation fault detection systems. References Reflist Refbegin Automatedreasoning Introduction ...In information technology a reasoning system is any software application , hardware device or combination ... knowledge using logic logical techniques of Deductive reasoning deduction , Inductive reasoning induction or other forms of Reason Logical reasoning methods and argumentation reasoning . Reasoning systems ... role in the practical implementation knowledge engineering and artificial intelligence . A reasoning ... knowledge representations may also be used e.g., trained Neural network neural nets . Reasoning systems ... of logic. In a concrete implementation, reasoning systems may support procedural attachments and built in actions to process or apply knowledge within some given domain or situation. Reasoning systems ... of logic Reasoning systems apply logic in order to generate knowledge. However, they demonstrate significant variation in terms of Formal system systems of logic and formality. Most reasoning systems ... Research, 1997, Benjamin N. Grosof ref . Reasoning systems may explicitly implement additional logic ... reasoning systems implement imprecise and semi formal approximations to recognised logic systems ... techniques in order to model different reasoning strategies. They emphasise pragmatism over formality ... reasoning systems employ deductive reasoning to draw Inference inferences from available knowledge. These inference engines support forward reasoning or backward reasoning to infer conclusions via modus ponens . The Recursion recursive reasoning methods they employee are termed forward chaining and backward chaining , respectively. Although reasoning systems widely support deductive inference, some systems employ Abductive reasoning abductive , Inductive reasoning inductive , Defeasible reasoning defeasible and other types of reasoning. Heuristic Heuristics may also be employed to determine ... more details
Qualitative Reasoning QR is an area of research within Artificial Intelligence AI that automates reasoning about continuous aspects of the physical world, such as space, time, and quantity, for the purpose of problem solving and planning using qualitative rather than quantitative information. ref cite web title Qualitative Reasoning Reaching Good Conclusions without Being Precise url http www.aaai.org AITopics pmwiki pmwiki.php AITopics QualitativeReasoning publisher Association for the Advancement of Artificial Intelligence AAAI ref Qualitative Reasoning creates non numerical descriptions of physical systems and their behavior, preserving important behavioral properties and qualitative distinctions. ref name bredeweg cite web author Bert Bredeweg and Peter Struss title Current Topics in Qualitative Reasoning url http staff.science.uva.nl bredeweg pdf aimag2003a.pdf publisher American Association for Artificial Intelligence year 2003 ref The goal of qualitative reasoning research is to develop representation and reasoning methods that enable programs to reason about the behavior of physical systems, without precise quantitative information. An example is observing pouring rain and the steadily rising water level of a river, which is sufficient information to take action against possible flooding without knowing the exact water level, the rate of change, or the time the river might flood. ref cite web author Yumi Iwasaki title Real World Applications of Qualitative Reasoning url ... and on board diagnosis of vehicle systems, automated generation of control software for photocopiers ... See also Spatial temporal reasoning Spatial temporal reasoning in computer science Spatial temporal reasoning Qualitative Reasoning Group QRG Object centered high level reference ontology Object Centered ... QRM index.html Qualitative Reasoning and Modelling QRM portal of the University of Amsterdam compu AI stub Category Reasoning ... more details
In logic , three kinds of logical reasoning can be distinguished deduction, induction and abduction. Given a Premise precondition , a Logical consequence conclusion , and a Material conditional rule that the precondition implies the conclusion , they can be explained in the following way Deductive reasoning Deduction means determining the conclusion . It is using the rule and its precondition to make a conclusion . Example When it rains, the grass gets wet. It rained today. Therefore, the grass is wet. Mathematician s are commonly associated with this style of reasoning. Inductive reasoning Induction means determining the rule . It is learning the rule after numerous examples of the conclusion following the precondition . Example The grass has been wet every time it has rained. Therefore, if it rains tomorrow, the grass will get wet. Scientist s are commonly associated with this style of reasoning. Abductive reasoning Abduction means determining the precondition . It is using the conclusion and the rule to support that the precondition could explain the conclusion . Example When it rains, the grass gets wet. The grass is wet, therefore, it may have rained. Diagnostician s and detective s are commonly associated with this style of reasoning. See also Logical fallacy Logical argument Inference Reason , Reasoning Defeasible reasoning References T. Menzies. Applications of Abduction Knowledge Level Modeling. November 1996 Category Reasoning de Schlussfolgerung fa fr Concept logique ja nl Redenering zh ... more details
Opportunistic reasoning is a method of selecting a suitable logical inference strategy within artificial intelligence applications. Specific Deductive reasoningreasoning methods may be used to draw Logical consequence conclusions from a set of given facts in a knowledge base , e.g. forward chaining versus backward chaining . However, in opportunistic reasoning, pieces of knowledge may be applied either forward or backward, at the most opportune time . ref Blackboard systems by I. Craig, 1995 ISBN 1567500293 page 84 ref An opportunistic reasoning system may combine elements of both forward and backward reasoning. It is useful when the number of possible inferences is very large and the reasoning system must be responsive to new data that may become known. ref Fundamentals of expert systems technology by Samuel J. Biondo 1990 ISBN 089391701X page 69 ref Opportunistic reasoning has been used in applications such as blackboard system s and medical applications. ref Roy Turner, Opportunistic use of schemata in Tenth Annual Conference of the Cognitive Science Society 1988 ISBN 0805804366 page 165 ref References Marin Di Simina et al. Opportunistic Reasoning A Design Perspective in Proceedings of the Seventeenth Annual Conference of Cognitive Science edited by Johanna D. Moore, 1995 ISBN 0805821597, page 78 Notes Reflist Category Reasoning Compu AI stub ... more details
Kant s Usage In the philosophy of Immanuel Kant , analytic reasoning represents judgments made upon statements that are based on the virtue of the statement s own content. No particular experience, beyond an understanding of the meanings of words used, is necessary for analytic reasoning. ref See Stephen Palmquist , Knowledge and Experience An Examination of the Four Reflective Perspectives in Kant s Critical Philosophy , Kant Studien 78 2 1987 , pp.170 200 revised and reprinted as Chapter IV of http www.hkbu.edu.hk ppp ksp1 Kant s System of Perspectives Lanham University Press of America, 1993 . ref For example, John is a bachelor. is a given true statement. Through analytic reasoning, one can make the judgment that John is unmarried . One knows this to be true since the state of being unmarried is implied in the word bachelor no particular experience of John is necessary to make this judgement. To suggest that John is married given that he is a bachelor would be self contradictory. Compare analytic reasoning with synthetic reasoning . See also Analytic synthetic distinction Footnotes references logic stub Category Philosophical logic Category Reasoning Category Aptitude ca Raonament anal tic ... more details
Evidential reason or evidential reasoning may refer to Probabilistic logic , a combination of the capacity of probability theory to handle uncertainty with the capacity of deductive logic to exploit structure Evidential reason , a type of reason argument in contrast to an explanatory reason Evidential reasoning approach , in decision theory, an approach for multiple criteria decision analysis MCDA under uncertainty Disambig ... more details
Verbal reasoning is understanding and reasoning using concepts framed in words. It aims at evaluating ability to think constructively, rather than at simple fluency or vocabulary recognition. Large graduate training schemes are increasingly using verbal reasoning tests verbal s to distinguish between applicants. The types of verbals candidates face in these assessments are typically looking to assess understanding and comprehension skills. As an applicant you will be presented with a short passage of text and will need to answer a True, False or Cannot Say response to each statement. ref cite web last James first David title Verbal Aptitude Tests url http www.practiceaptitudetests.com verbal reasoning tests.htm work Practice aptitude tests accessdate 31 July 2011 ref Criticism of verbal reasoning tests Some have criticised verbal reasoning tests due to their lack of precision many questions arguably having more than one answer. For example, a question which asks When will Joe Bloggs retire? may expect the testee to respond with the answer Joe Bloggs will retire at 65 based on the following two sentences taken from a preceding paragraph the format of most verbal reasoning tests Joe Bloggs currently works as a civil servant and Those in the civil service generally retire at 65 However, though the two sentences make it probable that Joe Bloggs will retire at 65, it is still a logical possibility that he will continue to work beyond this point, or that he will retire early and live off savings. Additionally, a number of questions ask testees to decide what the central focus of the preceding paragraph is, however the options provided often afford more than one arguable response. As such, critics suggest that standard IQ tests or numerical reasoning tests, are preferable due to their precision . Verbal reasoning suits only certain types of people, and most say they are not intelligence ... Reasoning Category Aptitude psychology stub ... more details
No footnotes date April 2010 Defeasible reasoning is a kind of reasoning that is based on reasons that are defeasible , as opposed to the indefeasible reasons of deductive logic. Defeasible reasoning is a particular kind of non demonstrative reasoning, where the reasoning does not produce a full, complete ... are acknowledged. Other kinds of non demonstrative reasoning are probabilistic reasoning , inductive reasoning , statistical reasoning, abductive reasoning , and paraconsistent reasoning. Defeasible reasoning is also a kind of ampliative reasoning because its conclusions reach beyond the pure meanings of the premises. The differences between these kinds of reasoning correspond to differences about the conditional that each kind of reasoning uses, and on what premise or on what authority the conditional is adopted deductive reasoning Deductive from meaning postulate, axiom, or contingent assertion ..., in the right context if p then probably q inductive reasoning Inductive theory formation from ... q abductive reasoning Abductive from data and theory p and q are correlated, and q is sufficient for p hence, if p then abducibly q as cause Some have thought that defeasible reasoning could be connected to qualitative probabilistic reasoning, but such efforts have not borne great insights. Defeasible reasoning finds its fullest expression in jurisprudence , ethics and moral philosophy , epistemology ... reasoning i.e., reasoning on the face of evidence , and ceteris paribus default reasoning i.e., reasoning, all things being equal . History Though Aristotle differentiated the forms of reasoning that are valid ... and rhetoric , 20th Century philosophers mainly concentrated on deductive reasoning. At the end ... reasoning, often giving more space to the latter. However, after the blossoming of mathematical logic ... notable exceptions. John Maynard Keynes wrote his dissertation on non demonstrative reasoning ... defeasible reasoning to political argument and practical reasoning of action , respectively. Joel ... more details
Adaptive reasoning refers to a problem solving strategy that adapts thinking to address a problem as it changes and evolves. Some definitions Adaptive reasoning may also refer to the adaption of thought processes problem solving strategies, conceptual framework , in response and anticipation of the changing nature of the problem being considered. Adaptive reasoning refers to the capacity to think logically about the relationships among concepts and situations and to justify and ultimately prove the correctness of a mathematical procedure or assertion. Adaptive reasoning also includes reasoning based on pattern, analogy or metaphor. Kilpatrick, p. 170 ref Adding it Up Helping Children Learn Mathematics By Jeremy Kilpatrick, Jane Swafford, Bradford Findell, National Research Council U.S. . Mathematics Learning Study Committee Edition illustrated Published by National Academies Press, 2001 ISBN 0 309 06995 5, 978 0 309 06995 3 ref Capacity for logical thought, reflection, explanation and justification. Donovan and Bransford, p. 218 ref How Students Learn History, Mathematics, and Science in the Classroom By National Research Council U.S. . Committee on How People Learn, A Targeted Report for Teachers, Suzanne Donovan, John Bransford Edition illustrated Published by National Academies Press, 2005 ISBN 0 309 08949 2, 978 0 309 08949 4 ref The ability of an agent to intelligently adapt its behavior, both short term and long term in response to the changing needs of its problem solving situation Turner, p. 4 ref Adaptive Reasoning for Real world Problems A Schema based Approach By Roy M. Turner Edition illustrated Published by Lawrence Erlbaum Associates, 1994 ISBN 0 8058 1298 9, 978 0 8058 1298 5 ref Bibliography please add content here References Reflist See also Portal Thinking Problem solving List of thought processes Category Problem solving Category Thought Category Cognition Category Reasoning ... more details
Commonsense reasoning is the branch of Artificial intelligence concerned with replicating human thinking. There are several components to this problem, including Developing adequately broad and deep commonsense knowledge bases . Developing reasoning methods that exhibit the features of human thinking, including the ability to reason with knowledge that is true by default reason rapidly across a broad range of domains tolerate uncertainty in your knowledge take decisions under incomplete knowledge and perhaps revise that belief or decision when complete knowledge becomes available. Developing new kinds of cognitive architectures that support multiple reasoning methods and representations. Prominent Researchers and Individuals Involved Marvin Minsky John McCarthy computer scientist John McCarthy Erik Mueller Doug Lenat Lenhart Schubert Common Sense Problems Formalizing the commonsense knowledge needed for even simple reasoning problems is a huge undertaking. For this reason, researchers often study small toy problems, such as planning in the blocks world domain. Because such toy problems can gloss over some of the more interesting research issues, there has been a recent trend toward working on more realistic challenge problems. http www formal.stanford.edu leora commonsense Common Sense Problems Schools of thought Prof. John McCarthy computer scientist John McCarthy believes in formal logic approach to common sense reasoning. Prof. Marvin Minsky takes an approach illustrated in Society of Mind The Society of Mind and in The Emotion Machine. See also Cyc Open Mind Common Sense ... T. 2006 http www.signiform.com csr toc.html Commonsense Reasoning . San Francisco Morgan Kaufmann. ISBN 0 12 369388 8. External links http commonsensereasoning.org Commonsense Reasoning Web Site http www formal.stanford.edu leora commonsense Commonsense Reasoning Problem Page http csc.media.mit.edu ... of Commonsense Reasoning Computable knowledge Category Artificial intelligence Category Reasoning compu ... more details
Psychology sidebar The psychology of reasoning is the study of how people reason , often broadly defined ... Leighton, J. P. 2004 . Defining and describing reason, in The Nature of Reasoning eds Leighton, J ... about reasoning, rationality, intelligence, relationships between emotion and reasoning, and development. Everyday reasoning How do people reason about sentences in natural language? Most experimentation ... 1993 . Human Reasoning The Psychology of Deduction . Hove, UK, Psychology Press ref . Participants ... 1993 . Human Reasoning The Psychology of Deduction . Hove, UK, Psychology Press ref . The ease with which ... then the number is even ref Evans, J.St.B.T., Newstead, S. and Byrne, R.M.J. 1993 . Human Reasoning ..., D. 2002 . The suppression of modus ponens as a case of pragmatic preconditional reasoning. Thinking and Reasoning , 8, 21 40. ref ref Byrne, R.M.J., Espino, O. & Santamaria, C. 1999 . Counterexamples ... Laird, P.N. 2006 . How we reason. Oxford Oxford University Press ref . Theories of reasoning There are several alternative theories of the cognitive processes that human reasoning is based on ref Byrne, R.M.J. and Johnson Laird, P.N. 2009 . If and the problems of conditional reasoning. Trends ... calculus ref O Brien, D. 2009 . Human reasoning requires a mental logic. Behav. Brain Sci. 32 ..., or a standard against which to compare human reasoning. Initially classical logic was chosen as a competence model. ref See, e.g., Peter Wason Wason , P. C. 1966 . Reasoning , in Foss, B. M. New ... approach to human reasoning. Trends in Cognitive Sciences , 5, 349 357 ref Research on mental models and reasoning has led to the suggestion that people are rational in principle but err in practice ... towards reasoning have also been proposed. ref Ron Sun Sun , R. 1994 . Integrating Rules and Connectionism for Robust Commonsense Reasoning . John Wiley and Sons, New York. ref Development of reasoning How does reasoning develop? Jean Piaget s theory of cognitive development ref Demetriou, A. 1998 ... more details
Refimprove date September 2007 Emotional reasoning is a cognitive error that occurs when a person believes that what he or she is feeling is true regardless of the evidence. As an example we have the people who is nervous or anxious and resorts to emotional reactions to determine a course of action. For instance, an anxious test taker might feel that he does not understand the material. He might feel as though he doesn t understand at all, but in fact is perfectly capable of answering the questions, and is merely insecure about it. By acting on the basis of his insecurity , he might assume he does not know the answers and guess randomly. Thus he creates a self fulfilling prophecy of failure. In this way, emotional reasoning amplifies the effects of other cognitive distortions Although this is an exception to the rule . External links http daphne.palomar.edu jtagg emotion.htm Category Popular psychology Category Emotional issues Category Critical thinking Category Reasoning cognitive psych stub nl Emotioneel redeneren ... more details
More footnotes date November 2010 Inductive reasoning , also known as induction , is a kind of Logical reasoningreasoning that constructs or evaluates proposition s that are abstractions of observations of individual instances of members of the same class. Inductive reasoning contrasts with deductive reasoning in that a general conclusion is arrived at by specific examples. Definition The philosophical definition of inductive reasoning is much more nuanced than simple progression from particular ... from generalizations to individual instances. Inductive reasoning consists of inferring general principles or rules from specific facts. A well known laboratory example of inductive reasoning ... Education Canada ref Though many dictionaries define inductive reasoning as reasoning that derives general ... Some dictionaries define deduction as reasoning from the general to specific and induction as reasoning ... of deductive reasoning 90 of humans are right handed. Joe is a human. Therefore, the probability ... life depends on liquid water to exist. Inductive vs. deductive reasoning Inductive reasoning allows ... Encyclopedia of Philosophy. ref The previous deduction was a false assertion of inductive reasoning ... reasoning , which is a weak type of induction. It is not an example of Strong Inductive Reasoning. A proper example of inductive reasoning is as follows All of the swans that all living beings have ever seen are white Therefore, all swans are white. Note that this definition of inductive reasoning excludes mathematical induction , which is considered to be a form of deductive reasoning deductive reasoning. Strong and weak induction The words strong and weak are sometimes used to praise or demean ... is an example of probabilistic reasoning which employs weak induction. Therefore the previous example is closer to an example of probabilistic reasoning rather than Induction. Weak Induction is merely a type of conjecture, not a proof. Induction Main Problem of induction Inductive reasoning has been ... more details
wiktionary deductive reasoning Deductive reasoning , also called deductive logic , is the process of reasoning ... 2009 publisher Wadsworth location Belmont, CA isbn 978 0 495 50629 4 pages 578 ref Deductive reasoning involves using given true premises to reach a conclusion that is also true. Deductive reasoning contrasts with inductive reasoning in that a specific conclusion is arrived at from a general principle ... as a man . Deductive reasoning moves from theory to observations or findings. So, in the above example ... form of deductive reasoning. A single Material conditional conditional statement is made, and a hypothesis ... reasoning, we can conclude Q from P by using the law of detachment. ref http www.jgsee.kmutt.ac.th ..., the first statement uses term logic categorical reasoning , saying that all steak eaters are definitely ... logic . Deductive reasoning can be contrasted with inductive reasoning , in regards to validity and soundness. In cases of inductive reasoning, even though the Premise premises are true and the argument ... presented grounds to doubt deduction by questioning Inductive reasoning induction . Hume s problem ... be theory of justification justified by inductive reasoning itself. Moreover, induction cannot be justified ... of thought . Reasoning and Education Typically, deductive reasoning is thought of as a skill that develops ... in secondary schools, where students are expected to use reasoning more often and at a higher ... for deductive reasoning journal Mathematical Thinking and Learning year 2008 volume 10 issue 2 ... J. P. title Teaching and assessing deductive reasoning skills journal Journal of Experimental Education ... mathematics Insights from psychological research into students ability for deductive reasoning journal ... students who plan on continuing into higher education. Deductive reasoning is a central component ... cite journal last Leighton first J. P. title Teaching and assessing deductive reasoning skills journal ... Abductive reasoning Analogy Analogical reasoning Closed world assumption Correspondence theory of truth ... more details
Motivated reasoning is an emotion biased decision making phenomenon studied in cognitive science and social ... Sheet Motivated Reasoning, American Psychological Association APA citing cite pmid 270237 ref Beliefs ... s own outcomes ref name oleary Cognitive strategy The processes of motivated reasoning are a type ... and cling to false beliefs despite overwhelming evidence, the phenomenon is labeled motivated reasoning ... with threat to or attainment of motives. ref name westen Mechanisms of Motivated Reasoning Early ... reasoning but have also introduced motivational ref name kunda cite doi 10.1037 0033 2909.108.3.480 ... of motivated reasoning. To further complicate the issue, the first neuro imaging study designed to test the neural circuitry of individuals engaged in motivated reasoning found that motivated reasoning was not associated with neural activity in regions previously linked with cold reasoning tasks Bayesian reasoning and conscious explicit emotion regulation. ref name westen cite doi 10.1162 jocn.2006.18.11.1947 ... reasoning. Both theories distinguish between mechanisms present when the individual is trying ... Oriented Motivated Reasoning. One review of the research Zina Kunda 1990 develops the following theoretical model to explain the mechanism by which motivated reasoning results in bias. The model is summarized ... acts as an initial trigger for the operation of cognitive processes. Historically, motivated reasoning ... Press chapter Three steps toward a theory of motivated political reasoning year 2000 isbn ... is tasked with accuracy goals. Accuracy Oriented Motivated Reasoning. Kunda asserts that accuracy goals ... to reduce bias the following conditions must be present. 1 Subjects must possess appropriate reasoning ... process of utilizing cognitive strategies in motivated reasoning. A construct which is called into question by later neuroscience research which concludes that motivated reasoning is qualitatively distinct from reasoning in instances when there is no strong emotional stake in the outcomes , Weston ... more details
Wikify date July 2010 POV date July 2010 In a frequently cited paper ref Ferguson, Eugene S. 1977. The Minds Eye Non Verbal Thought in Technology. Science 197 4306 827 836. ref in the journal Science journal Science and later book ref Ferguson, Eugene S. 1992. Engineering and the mind s eye . Cambridge, Mass. MIT Press. ref Eugene S. Ferguson , a mechanical engineer and historian of technology, claims what many engineers and technologists take for granted visual reasoning is a widely used tool used in creating technological artefacts. There is ample evidence that visual methods, particularly drawing, play a central role in creating artefacts. Ferguson s visual reasoning also has parallels in philosopher David Gooding s ref Gooding, David. 1990. Experiment and the making of meaning human agency in scientific observation and experiment . Dordrecht Boston Kluwer Academic Publishers. ref argument that experimental scientists work with a combination of action, instruments, objects and procedures as well as words. That is, with a significant non verbal component. Ferguson argues that non verbal largely visual reasoning does not get much attention in areas like history of technology and philosophy of science because the people involved are verbal rather than visual thinkers. Those who use visual reasoning, notably architects, designers and engineers, conceive and manipulate objects in the mind s eye before putting them on paper. Having done this the paper or computer versions in CAD can be manipulated by metaphorically building the object on paper or computer before building it physically. Nicola Tesla claimed that the first alternating current motor he built ran perfectly because he had visualized and run models of it in his mind before building the prototype. See also Scientific visualization Visual analytics References Reflist Category Cognition Category Reasoning ... more details
Thoroughbred racehorse infobox horsename Bold Reasoning image caption sire Boldnesian grandsire Bold Ruler dam Reason To Earn damsire Hail To Reason sex Stallion horse Stallion foaled 1968 country United States colour Brown color Brown breeder Leon Savage owner Kosgrove Stable trainer Nick Gonzales record 12 8 2 0 earnings 189,564 race Jersey Derby 1971 br Withers Stakes 1971 updated Bold Reasoning 1968 1975 was an United States American thoroughbred racehorse foaled in Florida . He was out of the Hail To Reason mare Reason To Earn, by the Santa Anita Derby winner Boldnesian , a son of Bold Ruler . Raced lightly, Bold Reasoning set a new track record at Belmont Park for 6 furlongs at 4. He is best known as being the sire of the 1977 United States Triple Crown of Thoroughbred Racing Triple Crown winner, Seattle Slew . Upon retirement, Bold Reasoning only produced three crops of foals at Claiborne Farm before his death on April 24, 1975, due to a breeding shed accident in which he cracked his pelvis. He had to be animal euthanasia euthanized after the injury caused severe colic. References http www.pedigreequery.com bold reasoning Pedigree & Racing Stats Category 1968 racehorse births Category 1975 racehorse deaths Category Thoroughbred racehorses Category Racehorses bred in Florida Category Racehorses trained in the United States Category American racehorses ... more details
Moral reasoning is a study in psychology that overlaps with moral philosophy . It is also called moral ... is sometimes used in a different sense reasoning under conditions of uncertainty, such as those ... Collection ref however, this sense is now seldom used outside of charges to juries. Moral reasoning ... of Moral Reasoning url http www.alleydog.com glossary definition.php?term Moral 20Reasoning accessdate ... in a given situation. People make this decision by reasoning the morality of the action and weighing ... lpwg EthicalMoralReason.pdf Ethical and Moral Reasoning, Educating for Personal and Social Responsibility ... . There are many different moral reasonings. Moral reasoning is culturally defined, and thus is difficult ... who has made significant contributions to the field of moral reasoning by creating a theory of moral ... conflicts with our interests . ref cite web last Richardson first Henry S. title Moral Reasoning url http plato.stanford.edu archives fall2009 entries reasoning moral work The Stanford Encyclopedia ... Another psychologist who contributed to the field of moral reasoning was Jean Piaget . He developed ... Walsh Moral reasoning in philosophy Philosopher David Hume and psychologist Jonathan Haidt both claim that morality is based more on perceptions than on logical reasoning. ref name SJDM cite web url http journal.sjdm.org jdm8105.pdf title The psychology of moral reasoning last1 Bucciarelli first1 Monica .... ref name SJDM Haidt agrees, arguing that reasoning concerning a moral situation or idea follows an initial intuition. ref name SJDM Haidt s fundamental stance on moral reasoning is that moral intuitions .... ref name SJDM Moral reasoning and gender At one time psychologists believed that men and women have different moral values and reasoning. This was based on the idea that men and women often think ... would favor care reasoning, meaning that they would consider issues of need and sacrifice, while men would be more inclined to favor fairness and rights, which is known as justice reasoning. ref ... more details
Encyclopedia
top
