More footnotes date November 2010 Inductivereasoning , also known as induction , is a kind of Logical ... of individual instances of members of the same class. Inductivereasoning contrasts with deductive ... definition of inductivereasoning is much more nuanced than simple progression from particular ... from generalizations to individual instances. Inductivereasoning consists of inferring general principles or rules from specific facts. A well known laboratory example of inductivereasoning ... Education Canada ref Though many dictionaries define inductivereasoning as reasoning that derives general ... life depends on liquid water to exist. Inductive vs. deductive reasoningInductivereasoning allows ... Encyclopedia of Philosophy. ref The previous deduction was a false assertion of inductivereasoning ... reasoning , which is a weak type of induction. It is not an example of Strong InductiveReasoning. A proper example of inductivereasoning 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 inductivereasoning ... a type of conjecture, not a proof. Induction Main Problem of induction Inductivereasoning has been ... that it is impossible to justify inductivereasoning. Inductivereasoning certainly cannot be justified ... Section 2.1 . Stanford Encyclopedia of Philosophy . 21 June 2010. ref Bias Inductivereasoning is also ... Explanation Falsifiability Inductivereasoning aptitude Inductive Logic Programming Inferential ... links Wiktionary inductivereasoning Americana Poster year 1920 Induction logic Inductivereasoning ... eheit heit2000.pdf Properties of InductiveReasoning 166 Kibibyte KiB application pdf, 170607 ... the value of inductivereasoning. Logic philosophy of science Philosophy topics state collapsed Statistics state collapsed Use dmy dates date October 2010 DEFAULTSORT InductiveReasoning Categories Category Epistemology Category Problem solving Category Inductivereasoning Category Reasoning ... more details
Inductivereasoning is a measurable aptitude for how well a person can identify a pattern within a large amount of data. It involves applying the rules of logic when inferring specific instances from general principles and or rules. Measurement is generally done in a timed test by showing four pictures or words and asking the test taker to identify which of the pictures or words does not belong in the set. The test taker is shown a large number of sets of various degrees of difficulty. The measurement is made by timing how many of these a person can properly identify in a set period of time. The test resembles the game Which of These Is Not Like the Others . Here is an example question Find the set of letters that doesn t belong with the other sets. A cdef B mnpo C hikj D vwyx The correct answer could be A since the others don t go in alphabetical order, or D since unlike the other answers the set contains no vowels Inductivereasoning is very useful for scientists, auto mechanics, system ... fields where substantial diagnostic or data interpretation work is needed. Inductivereasoning aptitude is also useful for learning a graphical user interface quickly, because highly inductive people are very good at seeing others categorization schemes. Inductivereasoning aptitude is often counter productive in fields like sales where tolerance is very important, because highly inductive people tend to be good at seeing faults in others. InductiveReasoning Aptitude is also called differentiation or inductive learning ability. See also Aptitude test Aptitude battery Theory of multiple intelligences ... vceed002 ref reasoninginductivereasoninginductive reasoning.html Activities for Stimulating InductiveReasoning cite journal author Whitebread D title The development of children s strategies on an inductivereasoning task journal Br J Educ Psychol volume 66 issue Pt 1 pages 1 21 year 1996 month ... Aptitude Category Inductivereasoning ... more details
dablink This article is about the mathematical concept. For inductive inference in logic, see Inductivereasoning . Around 1960, Ray Solomonoff founded the theory of universal inductive inference , the theory of prediction based on observations for example, predicting the next symbol based upon a given series of symbols. The only assumption is that the environment follows some unknown but computable probability distribution . It is a mathematically formalized Occam s razor ref Induction From Kolmogorov and Solomonoff to De Finetti and Back to Kolmogorov JJ McCall Metroeconomica, 2004 Wiley Online Library. ref ref Foundations of Occam s razor and parsimony in learning from ricoh.comD Stork NIPS 2001 Workshop, 2001 ref ref Occam s razor as a formal basis for a physical theory from arxiv.orgAN Soklakov Foundations of Physics Letters, 2002 Springer ref ref Beyond the Turing Test from uclm.es J HERNANDEZ ORALLO Journal of Logic, Language, and , 2000 dsi.uclm.es ref ref On the existence and convergence of computable universal priors from arxiv.org M Hutter Algorithmic Learning Theory, 2003 Springer ref shorter computable theories have more weight when calculating the probability of the next observation, using all computable theories which perfectly describe previous observations. Marcus Hutter s universal artificial intelligence builds upon this to calculate the expected value of an action .... Category Statistical inference Category Inductivereasoning Category Inference statistics stub .... Another direction of inductive inference is based on E. Mark Gold s model of Language identification ..., C. H. 1983 Inductive Inference Theory and Methods, Comput. Surveys, v. 15, no. 3, pp. 237 269 Mark ... Science, v. 317, No. 1 3, 2004, pp. 71 91 Gasarch, W. and Smith, C. H. 1997 A survey of inductive ... Induction, The Computer Journal, Vol. 42, No. 4, 1999 Ray Solomonoff A Formal Theory of Inductive ... A Formal Theory of Inductive Inference, Part II Information and Control, Part II Vol. 7, No. 2, pp ... more details
This article relates to the notion of inductive sets from descriptive set theory . For the notion in the context of the axiom of infinity , see Inductive set axiom of infinity . no footnotes date March 2011 In descriptive set theory , an inductive set of real number s or more generally, an inductive subset of a Polish space is one that can be defined as the least fixed point of a monotone operation definable by a positive &Sigma sup 1 sup sub n sub formula, for some natural number n , together with a real parameter. The inductive sets form a boldface pointclass that is, they are closed under continuous function continuous preimage s. In the Wadge hierarchy , they lie above the projective set s and below the sets in L R . Assuming sufficient determinacy , the class of inductive sets has the scale property and thus the prewellordering property . References cite book author Moschovakis, Yiannis N. title Descriptive Set Theory publisher North Holland year 1980 isbn 0 444 70199 0 settheory stub Category Descriptive set theory ... 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. Inductivereasoning 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
Orphan date March 2012 In electric industries, an inductive amplifier is a type of test instrument that does not require Direct current DC electrical contact to detect an Alternating current AC wire under voltage. The conventional use of the inductive amplifier is the location of breaks in hidden wires, even buried in concrete. The typical wire detection range in a concrete wall is 10 20 cm. One of the manufacturers of the inductive amplifier is Tempo. Inductive amplifiers can also be used to find an individual cable pair in a telephone cross connect or cable head when used in conjunction with a tone generator . See also Test light References references Category Electronics work tools electronics stub ... more details
Passive passively . Uses Devices that use inductive coupling include Transformer s Electric ... most types . Inductive Modems Resonant energy transfer Inductive charging products charge batteries using inductive coupling, such as eCoupled http www.wirelesspowerconsortium.com technology examples of products using inductive power transmission.html Torches, Cochlear Implants and many electric toothbrush es. Induction cooker s and induction heating systems See also Resonant inductive coupling Low frequency induction Low frequency induction is an unwanted form of inductive coupling, which can occur .... References Reflist DEFAULTSORT Inductive Coupling Category Electronic engineering Category Electromagnetic ... more details
In chemistry and physics , the inductive effect is an experimentally observable effect of the transmission of charge physics charge through a chain of atoms in a molecule by electrostatic induction . ref GoldBookRef file I03021 title inductive effect ref The net polar effect exerted by a substituent is a combination of this inductive effect and the mesomeric effect . The electron cloud in a Sigma bond bond between two unlike atoms is not uniform and is slightly displaced towards the more Electronegativity electronegative of the two atoms. This causes a permanent state of polar bond bond polarization , where the more electronegative atom has a slight negative charge and the other atom has a slight positive charge . If the electronegative atom is then joined to a chain of atoms, usually carbon , the positive charge is relayed to the other atoms in the chain. This is the electron withdrawing inductive effect, also known as the math I math effect . Some groups, such as the Alkyl group alkyl group are less electron withdrawing than hydrogen and are therefore considered as electron releasing. This is electron releasing character and is indicated by the math I math effect . In short ... is less than the original polarity, the inductive effect rapidly dies out, and is significant only over a short distance. The inductive effect is permanent but feeble, as it involves the shift of strongly held bond electrons, and other stronger factors may overshadow this effect. The inductive effect may be caused by some molecules also. Relative inductive effects have been experimentally measured with reference to hydrogen. File Inductive effect trends.png Relative strengths of the inductive effect of various molecules Inductive effects can be measured through the Hammett equation . Inductive ... towards more electronegative atom or group is known as inductive effect. Inductive effect also ... pK sub a sub drops. In aliphatic acids, the electron releasing inductive effect of the methyl ... more details
The inductive bias of a learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has not encountered Mitchell, 1980 . In machine learning , one aims to construct algorithms that are able to learn to predict a certain target output. To achieve this, the learning algorithm is presented some training examples that demonstrate the intended relation of input and output values. Then the learner is supposed to approximate the correct output, even for examples that have not been shown during training. Without any additional assumptions, this task cannot be solved exactly since unseen situations might have an arbitrary output value. The kind of necessary assumptions about the nature of the target function are subsumed in the term inductive bias Mitchell, 1980 desJardins and Gordon, 1995 . A classical example of an inductive bias is Occam s Razor , assuming that the simplest consistent hypothesis about the target function is actually the best. Here consistent means that the hypothesis of the learner yields correct outputs for all of the examples that have been given to the algorithm. Approaches to a more formal definition of inductive bias are based on mathematical logic . Here, the inductive bias is a logical formula that, together with the training data, logically entails the hypothesis generated by the learner. Unfortunately, this strict formalism fails in many practical cases, where the inductive bias can only be given as a rough description e.g. in the case of neural networks , or not at all. Types of inductive biases The following is a list of common inductive biases in machine learning algorithms. Maximum conditional independence if the hypothesis can be cast in a Bayesian inference Bayesian framework, try to maximize conditional independence. This is the bias used in the Naive Bayes classifier . Minimum Cross validation statistics ..., NJ. Utgoff, P.E. 1984 . Shift of bias for inductive concept learning. Doctoral dissertation, Department ... more details
Orphan date February 2009 Infobox Company company name Inductive Automation company logo Deleted image removed Image Inductive 50 px.png 184px Inductive Automation logo company type private slogan Breakthrough to Possible foundation 2003 location Sacramento , California products Industrial Automation br HMI SCADA MES Software br SCADA homepage http www.inductiveautomation.com www.inductiveautomation.com Inductive Automation is a supplier of web based industrial automation software solutions. Inductive Automation has customers in a variety of industries including Wastewater, Food and Beverage , Utilities, Energy industry Energy , Research, Transportation, Chemical industry Chemical Processing , Mining, Plastics , Construction , Discrete manufacturing Discreet Manufacturing , and Process Manufacturing . The company was the first to implement a custom OPC UA OPC UA stack, making their products 100 cross platform. Products FactorySQL is an OLE for process control OPC based Middleware product that bridges the gap between industrial Programmable logic controller PLCs and SQL database SQL Databases . FactorySQL is a drag and drop .NET Framework .NET application that runs as a Windows service . FactoryPMI is a Java programming language Java based SCADA product containing three main components the runtime, gateway, and designer. The Run time system FactoryPMI Runtime or Client is a Java programming language Java application typically launched from a web browser . It acts as the User interface HMI interface for end users and can be used to view realtime or historical process data or control industrial applications. The runtime can be launched one of three ways. As an Applet inside a web ... with Ignition by Inductive Automation. It created a central user interface for both FactorySQL ... database Tag Database . Open Source Inductive Automation is a promoter and contributor to the Open ... links http www.inductiveautomation.com Inductive Automation DEFAULTSORT Inductive Automation Category ... more details
Unreferenced date March 2008 File Budowa czujnika indukcyjnego ubt .svg thumb 250px Elements of a simple inductive sensor. br 1. Field sensor br 2. Oscillator br 3. Demodulator br 4. Flip flop electronics Flip flop br 5. Output An inductive sensor is an electronics electronic proximity sensor , which detects metallic objects without touching them. The sensor consists of an induction loop . Electric current generates a magnetic field , which collapses generating a current that falls asymptotically toward zero from its initial level when the input electricity ceases. The inductance of the loop changes according to the material inside it and since metals are much more effective inductors than other materials the presence of metal increases the current flowing through the loop. This change can be detected by sensing circuitry, which can signal to some other device whenever metal is detected. Common applications of inductive sensors include metal detector s, traffic light s, car wash es, and a host of automated industrial processes. Because the sensor does not require physical contact it is particularly useful for applications where access presents challenges or where dirt is prevalent. See also List of sensors Category Sensors electronics stub ca Sensor inductiu de Induktiver Sensor es Sensor inductivo kk nl Inductieve nabijheidssensor pl Czujnik indukcyjny ru ta ... more details
Unreferenced date December 2009 Orphan date October 2006 att April 2011 An Inductive pump is a pump that uses a magnetically driven piston floating inside a cylindrical sleeve each one perhaps being fluorocarbon coated . The sleeve forms a compression fitting with the check valve s at either end. The technology is simple in its execution as there are no gasket s or seals linking external motors to the internal piston. Both ends of the piston are used for pumping and suctioning alternately. This can greatly reduce pulsatile flow at higher pumping rates. Category Pumps ... more details
Image Magne charge lineup.jpg thumb right Magne Charge wall, handheld, and floor mount Inductive charging ... station. Energy is sent through inductive coupling to an electrical device, which then can ... in each of the sender and receiver of the energy within the respective devices, inductive charging ... that there are typically more wires used with inductive charging than direct contact charging, because ... Retrieved on 2007 08 23. ref ref name pat6972543 patent US 6972543 Series resonant inductive charging circuit ref Greater distances can be achieved when the inductive charging system uses resonant inductive coupling . Advantages Inductive charging carries a far lower risk of electrical shock , when ... for instance, inductive charging is used for implanted medical devices that require periodic ..., that are frequently used near or even in water. Inductive charging makes charging mobile devices ..., 2010 accessdate 2010 03 09 ref File Inductive charging.svg thumb left Inductive Charging. The primary ... The main disadvantages of inductive charging are its lower efficiency and increased resistive ... August 2007 Inductive charging also requires drive electronics and coils, increasing the complexity ... 20owners 20manual.pdf title WM7200 Inductive Charger Owner s Manual page 15 year 1998 accessdate ... implanted devices. Inductive charging is used in Oral B rechargeable toothbrush es by the Braun ... Motors . The General Motors EV1 electric car was charged by inserting an inductive charging paddle into a receptacle ... 2006 11 15 accessdate 2007 08 23 ref April 28, 2009 An Energizer inductive charging station for the Wii ... with an optional inductive charger accessory, the Touchstone . The charger came with a required ... completion for a new industry standard for low power Inductive charging ref cite web url http www.pcworld.com ... above, Magne Charge inductive charging was employed by several types of electric vehicles around ... quote GM Pulls the Plug on Inductive Charging Letter from General Motors Advanced Technology Vehicles ... more details
In the mathematical field of topology , the inductive dimension of a topological space X is either of two values, the small inductive dimension ind X or the large inductive dimension Ind X . These are based on the observation that, in n dimensional Euclidean space R sup n sup , n &minus 1 dimensional sphere s that is, the boundary topology boundaries of n dimensional balls have dimension n &minus 1. Therefore it should be possible to define the dimension of a space mathematical induction inductively in terms of the dimensions of the boundaries of suitable open set s. The small and large inductive dimensions are two of the three most usual ways of capturing the notion of dimension for a topological space, in a way that depends only on the topology and not, say, on the properties of a metric space . The other is the Lebesgue covering dimension . The term topological dimension is ordinarily understood to refer to Lebesgue covering dimension. For sufficiently nice spaces, the three measures of dimension are equal. Formal definition We want the dimension of a point to be 0, and a point has empty boundary, so we start with math operatorname ind varnothing operatorname Ind varnothing 1 math Then inductively, ind X is the smallest n such that, for every math x isin X math and every open set U containing x , there is an open V containing x , where the Closure topology closure of V is a subset of U , such that the boundary of V has small inductive dimension less than or equal to n &minus 1. In the case above, where X is Euclidean n dimensional space, V will be chosen to be an n dimensional ball centered at x . For the large inductive dimension, we ... and the closure of V is a subset of U , such that the boundary of V has large inductive dimension less ... inductive dimensions may differ. A separable metric space X satisfies the inequality math .... V. V. Filippov, On the inductive dimension of the product of bicompacta , Soviet. Math. Dokl., 13 ... more details
knowledge using logic logical techniques of Deductive reasoning deduction , Inductivereasoning induction or other forms of Reason Logical reasoning methods and argumentation reasoning . Reasoning systems ... for training purposes. For example, machine learning systems may use inductivereasoning to generate ... Deduction Category Problem solving Category Reasoning Category Inductivereasoning Category Cognitive ...In information technology a reasoning system is any software application , hardware device or combination ... 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 , Inductivereasoninginductive , Defeasible reasoning defeasible and other types of reasoning. Heuristic Heuristics may also be employed to determine ... more details
Inductive transfer , or transfer learning , is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. ref West, Jeremy, Dan Ventura, and Sean Warnick. http cpms.byu.edu springresearch abstract entry?id 861 Spring Research Presentation A Theoretical Foundation for Inductive Transfer Abstract Only . Brigham Young University, College of Physical and Mathematical Sciences. 2007. Retrieved on 2007 08 05. ref For example, the abilities acquired while learning to walk presumably apply when one learns to run, and knowledge gained while learning to recognize cars could apply when recognizing trucks. This area of research bears some relation to the long history of psychological literature on transfer of learning , although formal ties between the two fields are limited. Notably, scientists have developed algorithms for inductive transfer in Markov logic network s ref Mihalkova, Lilyana, Tuyen Huynh, and Raymond J. Mooney. http www.cs.utexas.edu users ml papers mihalkova aaai07.pdf Mapping and Revising Markov Logic Networks for Transfer Learning . Proceedings of the 22nd AAAI Conference on Artificial Intelligence AAAI 2007 , Vancouver, BC, pp. 608 614, July 2007. Retrieved on 2007 08 05. ref and Bayesian networks . ref Niculescu Mizil, Alexandru, and Rich Caruana. http www.stat.umn.edu aistat proceedings data papers 043.pdf Inductive Transfer for Bayesian Network Structure Learning . Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics AISTATS 2007 , March 21 24, 2007. Retrieved on 2007 08 05. ref Furthermore, researchers have applied techniques for transfer to problems in Document classification text classification , ref Do, Cuong B. and Andrew Y. Ng. http books.nips.cc papers files nips18 NIPS2005 0722.pdf Transfer learning for text classification. Neural Information Processing Systems Foundation, NIPS 2005 Online Papers. Retrieved on 2007 ... more details
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 inductivereasoning in that a specific conclusion is arrived at from a general principle ... logic . Deductive reasoning can be contrasted with inductivereasoning , in regards to validity and soundness. In cases of inductivereasoning, even though the Premise premises are true and the argument ... presented grounds to doubt deduction by questioning Inductivereasoning induction . Hume s problem ... be theory of justification justified by inductivereasoning itself. Moreover, induction cannot be justified ... col 2 portal Logic Inquiry Inductivereasoning Inference Logical consequence Natural deduction ...wiktionary deductive reasoning Deductive reasoning , also called deductive logic , is the process of reasoning ... 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 ... 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 ... more details
are acknowledged. Other kinds of non demonstrative reasoning are probabilistic reasoning , inductivereasoning , 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 inductivereasoningInductive theory formation from ...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 ... 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
Psychologically, what are the relationships between inductivereasoning induction , deductive reasoning ...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 ... 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
Automated reasoning is an area of computer science and mathematical logic dedicated to understand different aspects of reasoning . The study in automated reasoning helps produce software which allows computers to reason completely, or nearly completely, automatically. Although automated reasoning is considered ... science and even philosophy . The most developed subareas of automated reasoning are automated theorem ... 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 reasoning. An important part of the uncertainty field is that of argumentation, where further constraints ... than being just an automated theorem prover. Tools and techniques of automated reasoning include the classical logics and calculi, fuzzy logic , Bayesian inference , reasoning with Principle of maximum ... of formal logic played a big role in the field of automated reasoning 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 . Automated reasoning, although a significant and popular area of research ... human reasoning in proving theorems and was demonstrated on fifty two theorems from chapter two ... and proofs are formalized in the same language called the Calculus of Inductive Constructions CIC ... . Retrieved 2010 10 23 ref Applications Automated reasoning has been most commonly used to build ... than the one provided by Whitehead and Russel. Automated reasoning programs are being applied to solve ... reasoning automated Automated Reasoning , Stanford Encyclopedia . Retrieved on 2010 10 10 ref See ... links Conferences and workshops International Joint Conference on Automated Reasoning IJCAR Conference ... more details
merge Begging the question date April 2012 Circular reasoning also known as paradoxical thinking or circular logic , is a fallacy logical fallacy in which the reasoner begins with what he or she is trying to end up with . ref cite web url http www.iep.utm.edu fallacy CircularReasoning title Fallacies publisher Internet Encyclopedia of Philosophy date 27 March, 2003 accessdate April 05, 2012 author Dowden, Bradley ref A circular argument will always be logically validity valid because if the premises are true, the conclusion must be true, and will not lack relevance. Circular logic cannot prove a conclusion because, if the conclusion it doubted, the premise which leads to it will also be doubted. ref cite book title Schaum s outline of theory and problems of logic publisher McGraw Hill Professional year 1998 pages 205 isbn 9780070466494 last1 Nolt first1 John Eric last2 Rohatyn first2 Dennis last3 Varzi first3 Achille ref Academic Douglas Walton used the following example of a fallacious circular argument Wellington is in New Zealand . Therefore, Wellington is in New Zealand ref name Walton cite book title Plausible argument in everyday conversation publisher SUNY Press author Walton, Douglas year 1992 pages 206 207 isbn 9780791411575 ref He notes that, although the argument is deductively valid, it cannot prove that Wellington is in New Zealand because it contains no evidence that is distinct from the conclusion. The context that of an argument means that the proposition does not meet the requirement of proving the statement, thus it is a fallacy. He proposes that the the context of a dialogue determines whether a circular argument is fallacious if it forms part of an argument ...&pg PA184 page 184 ref blockquote Circular reasoning is often of the form a is true because b is true ... method to judge the scientific method is circular reasoning . Scientists attempt to discover ... David Hume s problem of induction , science cannot be inductive proof proven inductively by empirical ... 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
Encyclopedia
top
