FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W329399992> ?p ?o ?g. }

• W329399992 startingPage "517" @default.
• W329399992 abstract "Several prominent theories of conditional reasoning argue that reasoners compute and use conditional probability information to engage in conditional reasoning processes, which suggests that naive reasoners should be at least somewhat sensitive to the factors that affect conditional probability. In two experiments, reasoners solved Mastermind problems in which an array of colored buttons and feedback were provided, and participants were asked to make deductions about the colors and their locations in the array. In the first experiment, each problem contained a high stationarity button that did move in the array, although its conditional probability of its possible location in the array varied. In the second experiment, each problem contained at least one button whose location in the array was logically certain, while the stationarity of the button was varied. Experiment 1 showed that, contrary to the predictions of some dual-process theorists, the likelihood with which people made deductions of stationary buttons was significantly influenced by the stationary buttons' conditional probability. People with deductive competence were also no more likely to make correct logical deductions of stationary buttons than were people with less deductive competence. Experiment 2 showed that people were more likely to conclude that buttons that appeared in the array more frequently were more likely to be code members than were buttons that had appeared less frequently even when the conditional probability of all buttons in the array was held constant at unity. People were much more likely to correctly deduce high stationarity buttons compared to low stationarity buttons, even when the conditional probability of the buttons was held constant at unity. The pattern of response suggests that, at least in this form of conditional reasoning, people use more superficial characteristics of the information presented, such as covariation patterns, than they use conditional probability computation to make their deductive inferences. These findings were discussed in terms of their implications for some potential boundary conditions in conditional probability computation. Evans (1999) defined reasoning as the ability of untrained individuals to understand and generate logical arguments, that is, inferences in which a conclusion must necessarily follow from some given premises. Such reasoning can occur in many forms, one of which is known as conditional reasoning, that is, reasoning about implications from the word if. In conditional reasoning studies, a person may be given a conditional syllogism beginning with a premise containing the content P then The person is also given an additional premise that either affirms or negates P or Q. Then the person may be asked if any conclusion necessarily follows from that information. In other paradigms, the individual may be given a potential conclusion about the content of the other term that was included as a premise and asked to determine the likelihood that this conclusion necessarily follows from the premises, if the premises are assumed to be true. For example, in the following case Premise: If P then Q Premise: (i.e., not Q) Conclusion: ~P This conclusion necessarily follows from the premises, and the syllogism is thus an example of a valid conditional reasoning process known as Modus Tollens (MT). There are three other conditional reasoning processes, one valid and two invalid. In the following case: Premise: If P then Q Premise: P Conclusion: Q The conclusion likewise necessarily follows, and so it must also be true if the premises are true. This valid process is known as Modus Ponens (MP). No valid conclusion follows from the conditional premise and ~P. So the reasoner who concludes that ~Q is necessary in that case has used an invalid process known as Denying the Antecedent (DA). …" @default.
• W329399992 created "2016-06-24" @default.
• W329399992 creator A5055906341 @default.
• W329399992 date "2010-12-01" @default.
• W329399992 modified "2023-09-23" @default.
• W329399992 title "Conditional Reasoning = Conditional Probability? Not Necessarily" @default.
• W329399992 hasPublicationYear "2010" @default.
• W329399992 type Work @default.
• W329399992 sameAs 329399992 @default.
• W329399992 citedByCount "1" @default.
• W329399992 countsByYear W3293999922015 @default.
• W329399992 crossrefType "journal-article" @default.
• W329399992 hasAuthorship W329399992A5055906341 @default.
• W329399992 hasConcept C100521375 @default.
• W329399992 hasConcept C105795698 @default.
• W329399992 hasConcept C15744967 @default.
• W329399992 hasConcept C33923547 @default.
• W329399992 hasConcept C41008148 @default.
• W329399992 hasConcept C44492722 @default.
• W329399992 hasConcept C77805123 @default.
• W329399992 hasConceptScore W329399992C100521375 @default.
• W329399992 hasConceptScore W329399992C105795698 @default.
• W329399992 hasConceptScore W329399992C15744967 @default.
• W329399992 hasConceptScore W329399992C33923547 @default.
• W329399992 hasConceptScore W329399992C41008148 @default.
• W329399992 hasConceptScore W329399992C44492722 @default.
• W329399992 hasConceptScore W329399992C77805123 @default.
• W329399992 hasIssue "3" @default.
• W329399992 hasLocation W3293999921 @default.
• W329399992 hasOpenAccess W329399992 @default.
• W329399992 hasPrimaryLocation W3293999921 @default.
• W329399992 hasRelatedWork W124243566 @default.
• W329399992 hasRelatedWork W1516525622 @default.
• W329399992 hasRelatedWork W1603364398 @default.
• W329399992 hasRelatedWork W2037072448 @default.
• W329399992 hasRelatedWork W2043388993 @default.
• W329399992 hasRelatedWork W2048039525 @default.
• W329399992 hasRelatedWork W2056303121 @default.
• W329399992 hasRelatedWork W2076446395 @default.
• W329399992 hasRelatedWork W2076813374 @default.
• W329399992 hasRelatedWork W2108049329 @default.
• W329399992 hasRelatedWork W2320111924 @default.
• W329399992 hasRelatedWork W23636130 @default.
• W329399992 hasRelatedWork W2405403957 @default.
• W329399992 hasRelatedWork W2526194391 @default.
• W329399992 hasRelatedWork W2572177080 @default.
• W329399992 hasRelatedWork W2593011967 @default.
• W329399992 hasRelatedWork W2796932756 @default.
• W329399992 hasRelatedWork W3125432513 @default.
• W329399992 hasRelatedWork W958603090 @default.
• W329399992 hasRelatedWork W2169875339 @default.
• W329399992 hasVolume "12" @default.
• W329399992 isParatext "false" @default.
• W329399992 isRetracted "false" @default.
• W329399992 magId "329399992" @default.
• W329399992 workType "article" @default.