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Table 1: The safety argument fallacy taxonomy

in Framing Analysis of Software Failure with Safety Cases
by William S. Greenwell, John C. Knight
"... In PAGE 6: ... To support this step, we have developed a taxonomy of common safety-argument fallacies that we adapted from several general-purpose taxonomies taken from philosophical literature based on an assessment of real-world safety arguments [21]. The taxonomy, which is summarized in Table1 , organizes fallacies into categories according to the types of arguments in which they typically appear. This organization allows investigators to quickly determine the set of fallacies that might pertain to the arguments they consider.... ..."
Cited by 1

Table 1. Differences of laboratory settings and naturalistic settings. Our comments

in Expert Consultation in the Preparation of a National
by Technology Programme Tommi, Tommi Gustafsson, Margareetta Ollila
"... In PAGE 6: ...xpert consultations. Henry (2000), Kramer et al. (2001) and Shanteau (1992) describe differences between laboratory and naturalistic settings in the context of social dilemmas, brainstorming, and expert work, respectively. Table1 presents a summary of the differences found by these authors, complemented with our comments in italic. Overall, laboratory research has been usually carried out in conditions that have been disconnected from the reality and have had few incentives.... ..."

Table 1 The SRK, RPD, and CCT Theories Combined into a Naturalistic Decision-Making Model

in NASA/TM-2004-212990 An Integrated Decision-Making Model for Categorizing Weather Products and Decision Aids
by Peter D. Elgin, Rickey P. Thomas 2004
"... In PAGE 18: ... Figure 1 illustrates how the various levels of decision-making specified by each theory map onto the integrated model. Table1 provides a simplified representation of the integrated naturalistic decision-making model.... ..."

Table 5: Raising of direct object personal pronouns in child Serbo-Croatian (based on naturalistic speech data)

in Object raising and cliticization in Serbo-Croatian child language
by Tatjana Ilic, Kamil Ud Deen 2004
"... In PAGE 7: ...Table5 that are noteworthy. First, object personal pronouns are appropriately raised.... ..."
Cited by 1

Table 6: Some items used in Experiment 4. Pairs 1 - 2 are the two explicit fallacy items, hence with logical forms X, Y ^ X. Pairs 3 - 4 are the corresponding implicit fallacy items. Pairs 5 - 6 illustrate explicit and implicit filler items.

in On the Reality of the Conjunction Fallacy
by Ashley Sides, Daniel Osherson, Nicolao Bonini, Riccardo Viale
"... In PAGE 13: ... ^ X. Eight additional pairs were used as fillers. Each conjunction was rendered explicitly using and, or implicitly via another construction. Table6 shows the contrast between explicit and implicit conjunctions, including all four fallacy items. The 10 event-pairs were used to construct two sets of booklets, as in Experiments 1 - 3.... In PAGE 14: ... There was no significant difference between the fallacy rates in the two conditions, so they were combined to determine whether one item was more conducive to fallacy than the other. (In what follows, item 3 in Table6 is assimilated to item 1, and item 4 is assimilated to 2.) Item 1 attracted 21 fallacies out of 83 subjects, and item 2 attracted 46 out of 83.... ..."

Table 1. Luther Marsh Provincial Wildlife Area major habitat types Major Habitat Hectares

in unknown title
by unknown authors 2001
"... In PAGE 3: ...ederation of Ontario Naturalists .............................................................................................................................0 Tables and Figures Table1 .... ..."

Table 3.1: Summary of past work on activity recognition using acceleration. The No. Subj. column specifies the number of subjects who participated in each study, and the Data Type column specifies whether data was collected under laboratory (L) or naturalistic (N) settings. The No. Sensors column specifies the number of uniaxial accelerometers used per subject.

in Physical Activity Recognition from Acceleration Data under SemiNaturalistic Conditions
by Stephen S. Intille, Ling Bao, Ling Bao 2003
"... In PAGE 19: ... Activity recognition has been performed on acceleration data collected from the hip [30, 35, 51, 11, 6] and from multiple locations on the body [10, 33, 19, 5, 22]. Table3 summarizes activity recognition results using acceleration from recent works. Additional details about these works are available in Appendix C.... ..."
Cited by 10

Table 4. Results of Study 2

in Heuristics Used in Reasoning with Multiple Causes and Effects
by Woo-Kyoung Ahn Woo-Kyoung
"... In PAGE 6: ...Results and Discussion The results are presented in Table4 . With the between- subject manipulation, the number of participants who committed the conjunction fallacy was reduced only to one third in the predictive common-cause condition.... ..."

Table 11: Probability of guilt given varying strength of link between previous conviction and being charge.

in The "Jury Fallacy" and the use of Bayesian Networks to present Probabilistic Legal Arguments
by Norman Fenton, Martin Neil
"... In PAGE 13: ...Running these five cases through Hugin yields the probability values for guilt shown in Table11 . Only the last (case 5) provides an argument in favour of the fallacy, but makes the unlikely assumption that the probability of being charged given a previous similar conviction and no hard evidence is only 1 in 200 (0.... ..."

Table 1. Overview of model parameters, their allowed ranges and default values.

in Learning to Attend — From Bottom-Up to Top-Down
by Hector Jasso, Jochen Triesch
"... In PAGE 9: ...3 Parameter Setting This section describes the default parameter values of the model. Table1 sum- marizes the parameters and their settings. Environment Modeling parameters: These parameters were set to sim- ulate a naturalistic environment where caregiver and infant interact with each other in a fairly dynamic environment.... ..."
Results 1 - 10 of 22