Aristotelian syllogisms and generalized quantifiers

The paper elaborates two points: i) There is no principal opposition between predicate logic and adherence to subject-predicate form, ii) Aristotle's treatment of quantifiers fits well into a modern study of generalized quantifiers.To the memory of Jerzy Supecki     

Intentions,actions and routines: A problem in Krister Segerberg's theory of action

The aim of this paper is to make a critical assessment of Krister Segerberg's theory of action. The first part gives a critical presentation of the key concepts in Segerberg's informal theory of action. These are the ideas that motivate the formal models he develops. In the second part it is argued that if one takes all of Segerberg's motivating ideas seriously, problems are forthcoming. The main problem is that on this theory the agents seem to be bound to realize all of their intentions, a problem that stems from Segerberg's attempt to individuate actions in terms of the agent's intentions. On the ground that this unfortunate result is forthcoming in both of Segerberg's approaches to the logic of action it is concluded that the conceptual basis of the theory is problematic.     

An alternative to the methodology for analysis of covariance

A general statistical model for simultaneous analysis of data from several groups is described. The model is primarily designed to be used for the analysis of covariance. The model can handle any number of covariates and criterion variables, and any number of treatment groups. Treatment effects may be assessed when the treatment groups are not randomized. In addition, the model allows for measurement errors in the criterion variables as well as in the covariates. A wide variety of hypotheses concerning the parameters of the model can be tested by means of a large sample likelihood ratio test. In particular, the usual assumptions of ANCOVA may be tested.Research reported in this paper has been partly supported by the Swedish Council for Social Science Research under project Statistical methods for analysis of longitudinal data, project director Karl G. Jöreskog, and partly by the Bank of Sweden Tercentenary Foundation under project Structural Equation Models in the Social Sciences, project director Karl G. Jöreskog.     

Temperamental differences between healthy,asthmatic, and allergic children before onset of illness: a longitudinal prospective study of asthma development

The authors investigated the link between children's temperament and the development of asthma and allergies. Prospective longitudinal data on children at the ages of 3-5 months, 3-5 years, and 7-9 years were collected. At age 7-9 years, analyses were performed on data for 3 groups of children (n = 42): those with asthma (no allergies), those with allergies (no asthma), and those with neither asthma nor allergies (the control group). Data for children who developed asthma or allergies prior to age 7-9 years were not analyzed. Differences were found in the premorbid period between the control group and the children who later developed asthma or allergies as well as between the asthma and allergy groups. After onset of illness, no temperamental differences were observed between the 3 groups. The study shows the importance of longitudinal design for asthma research.     

Consequence Mining

The standard semantic definition of consequence with respect to a selected set X of symbols, in terms of truth preservation under replacement (Bolzano) or reinterpretation (Tarski) of symbols outside X, yields a function mapping X to a consequence relation \(\Rightarrow_X\). We investigate a function going in the other direction, thus extracting the constants of a given consequence relation, and we show that this function (a) retrieves the usual logical constants from the usual logical consequence relations, and (b) is an inverse to—more precisely, forms a Galois connection with—the Bolzano–Tarski function.     

Truth as an Epistemic Notion

What is the appropriate notion of truth for sentences whose meanings are understood in epistemic terms such as proof or ground for an assertion? It seems that the truth of such sentences has to be identified with the existence of proofs or grounds, and the main issue is whether this existence is to be understood in a temporal sense as meaning that we have actually found a proof or a ground, or if it could be taken in an abstract, tenseless sense. Would the latter alternative amount to realism with respect to proofs or grounds in a way that would be contrary to the supposedly anti-realistic standpoint underlying the epistemic understanding of linguistic expressions? Before discussing this question, I shall consider reasons for construing linguistic meaning epistemically and relations between such reasons and reasons for taking an anti-realist point of view towards the discourse in question.     

The Probability of Guilt in Criminal Cases: Are People Aware of Being ‘Beyond Reasonable Doubt’?

Data from a series of studies presenting video recorded witness statements to laypersons and legal professionals were examined to trace the relationship between judged probability of guilt and the willingness to vote guilty or not guilty in hypothetical trials, in the absence of specific jury instructions. The results show that a majority of jury‐eligible young and elderly participants, and police officers, were willing to convict a defendant when the judged probability of guilt exceeded .6. This is considerably below the legally accepted standard of ‘beyond reasonable doubt’, which usually is equated with a very high, around .9 perceived certainty. When jury deliberations were allowed, the threshold for conviction rose, approaching the standard evinced by trial judges under the same conditions. The results suggest that people prefer to vote for guilt according to a balance of probabilities principle, considering only the individual case, and disregarding the implied frequencies of false convictions. Copyright © 2013 John Wiley & Sons, Ltd.     

Improvement of Thematic Classification in Offender Profiling: Classifying Serbian Homicides Using Multiple Correspondence,Cluster, and Discriminant Function Analyses

This paper investigates thematic classification of homicides for the purpose of behavioural investigative analysis (e.g. offender profiling). Previous research has predominantly used smallest space analysis (SSA) to conceptualise and classify offences into thematic groups based on crime scene behaviour data. This paper introduces a combined approach utilising multiple correspondence analysis (MCA), cluster analysis (CA), and discriminant function analysis (DFA) to define and differentiate crime scenes into expressive or instrumental and impersonal or personal crimes. MCA is used to derive the latent structural dimensions in the crime data and produce quantitative scores for each offence along these dimensions. Two‐step CA was then utilised to classify offences. Offence dimensional scores were then used to predict cluster membership under DFA, producing cluster centroids corresponding to MCA dimensions. Centroids were plotted on the MCA correspondence map to simultaneously conceptualise crime classification and the latent structure of the Serbian crime data. Classification of offences based on MCA dimensional scores were 91.5% accurate. This MCA–CA–DFA approach may reduce some of the more subjective aspects of SSA methodology used in classification, whilst producing a product more amenable to objective and cumulative review. Implications for offender profiling research utilising SSA and this approach are discussed. Copyright © 2014 John Wiley & Sons, Ltd.