A computational model of sequential movement learning with a signal mimicking dopaminergic neuron activities

We present a computational model of approach learning in a simulated maze environment. Our maze environment and training method mimics those used in the experimental literature. We show that our model learns the correct sequence of six decisions that lead to the location of positive reinforcement and in a manner consistent with experimental observations. Our model exhibits many properties that are characteristic of animal learning in maze environments including delay conditioning, secondary conditioning, and backward chaining. Finally, we map our model to the basal ganglia and show that a signal in our model that is responsible for learning has the same temporal properties as dopamine, the neurotransmitter believed to play an important part in learning decision sequences.     

Subjective Career Success and Emotional Well-Being: Longitudinal Predictive Power of Selection, Optimization, and Compensation

In a 3-year longitudinal study, we found in a sample of young professionals (N=82; 44% male; age range: 28 to 39 years) that self-reported behaviors reflecting selection, optimization, and compensation (SOC) predicted global and work-specific subjective well-being (multiple correlations ranged from R=.22 to R=.44). In addition to optimization (i.e., implementing goal-relevant means), it was especially the degree of compensation (i.e., investing goal-relevant means to counteract losses) that predicted how emotionally balanced individuals felt and how satisfied they were with their work situation 3 years later. These longitudinal predictions were quite robust when controlling for personality variables (NEO). Results are consistent with previous cross-sectional findings and demonstrate how the SOC framework might be successfully applied to the domain of vocational behavior.     

The production of determiners: evidence from French.

In numerous languages determiner forms depend not only on semantic information but also on several other kinds of information, such as the grammatical gender of the controlling noun or the phonological properties of the context. In the present research we contrasted two possible accounts of determiner retrieval: one in which every type of required information is bundled into a unitized representation for determiner retrieval and one in which each type of information can individually activate determiner forms. These alternative hypotheses were investigated in three experiments in which native speakers of French named pictures with simple [determiner + noun] or complex [determiner + adjective + noun] noun phrases. In the experiments, the properties of the contextual cues that drive the retrieval of the determiner were manipulated - for example, we manipulated the number of determiner forms that are compatible with a given grammatical gender and the number of grammatical genders that a given determiner form can be used with. Neither hypothesis can fully account for the results of the three experiments. However, a hybrid hypothesis that combines the principal features of the two hypotheses provides a good account of the data.     

词汇歧义消解的脑机制

词汇歧义是语言歧义的一种, 词汇歧义消解受到相对意义频率和语境的影响。半视野研究发现大脑两半球都能在词汇歧义消解过程中根据语境信息选择性地激活歧义词的恰当意义、抑制不恰当意义, 其中左半球的语义选择功能更强; 脑损伤研究发现大脑左、右半球损伤都会导致词汇歧义消解中语义选择障碍, 词汇歧义消解需要大脑两半球的联合作用; 神经成像研究进一步发现额叶与颞叶共同支持词汇歧义消解, 歧义词的恰当意义的选择是由额下回执行的, 语义整合加工是由颞叶负责的。     

Newton Algorithms for Analytic Rotation: an Implicit Function Approach

In this paper implicit function-based parameterizations for orthogonal and oblique rotation matrices are proposed. The parameterizations are used to construct Newton algorithms for minimizing differentiable rotation criteria applied to m factors and p variables. The speed of the new algorithms is compared to that of existing algorithms and to that of Newton algorithms based on alternative parameterizations. Several rotation criteria were examined and the algorithms were evaluated over a range of values for m. Initial guesses for Newton algorithms were improved by subconvergence iterations of the gradient projection algorithm. Simulation results suggest that no one algorithm is fastest for minimizing all criteria for all values of m. Among competing algorithms, the gradient projection algorithm alone was faster than the implicit function algorithm for minimizing a quartic criterion over oblique rotation matrices when m is large. In all other conditions, however, the implicit function algorithms were competitive with or faster than the fastest existing algorithms. The new algorithms showed the greatest advantage over other algorithms when minimizing a nonquartic component loss criterion.     

Model structure adequacy analysis: selecting models on the basis of their ability to answer scientific questions

Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodness of fit to data penalized by model complexity. However, this may not be the most effective approach for selecting models to answer a specific scientific question because model fit is sensitive to all aspects of a model, not just those relevant to the question. Model Structural Adequacy analysis is proposed as a means to select models based on their ability to answer specific scientific questions given the current understanding of the relevant aspects of the real world.     

Abnormality, cognitive virtues, and knowledge

Causal analyses of one’s knowing that p have recently emphasized the involvement of cognitive virtues in coming to believe that p. John Greco suggests that in order to deal with Gettier-type cases, a virtue analysis of knowing should include a requirement that one’s knowing does not in a certain way involve abnormality. Yet Greco’s emphasis on statistical abnormality either renders his analysis subject to a generality problem or to objections regarding certain Gettier-type cases. When we instead consider abnormality in the sense of a causally differentiating factor in relation to a causal contrast situation, the account remains unclear concerning its application to an interesting non-Gettier-type case concerning chance. The exploration of these shortcomings casts doubt on the epistemological usefulness of the schema, ‘If you know, then there is no abnormality in your being right.’     

Mother nature's tolerant ways: Why non-genetic inheritance has nothing to do with evolution

Recently a number of theorists have suggested that evolution can use non-genetic or environmental inheritance to pass on adaptations (e.g. [Mameli, M. (2004). Nongenetic selection and nongenetic inheritance. British Journal for the Philosophy of Science, 55, 35-71]). Furthermore, it has been suggested that non-genetic, or environmental factors, can play a central role in the process of evolution that is not captured by the neo-Darwinian view which places natural selection centre stage (e.g. [Odling-Smee, J. J., Laland, K. N., & Feldman, M. W. (2003). Niche construction: The neglected process in evolution. New Jersey: Princeton University Press]). In this paper we present and clarify neo-Darwinian theory and then take issue with the notions of contemporary gene-centred selection and inheritance that non-genetic inheritance theorists have used. We claim that they have misunderstood the distinction and relationship between intrinsic and extrinsic inheritance and we clarify this with a number of examples from the behavioural and biological sciences. According to this analysis there is no such thing as biologically independent non-genetic inheritance, all extrinsic inheritance is a consequence of traits and dispositions that are intrinsic to an organism and intrinsic design can only be explained through neo-Darwinism. We point to the implications this view has for current conceptions of cultural evolution.     

Validité de construit d’une épreuve de jeu de rôle dans le cadre d’un centre d’évaluation chez des officiers de marine.

The present study was designed to obtain validity estimates for a role-play test. Participants were 125 french Navy officers who were rated by a pool of professional assessors and psychologists. All the assessors received reccurring training sessions, focusing on the behavioral checklist, on rating errors, and on share frame of reference. The assessment procedure included role play exercise, cognitive ability scale (g factor) and personality scale (big five factors). First, exploratory factor analyses were conducted on the data gathered, and four factors were identified (authoritarianism, oral communication, consideration with others and frankness). In a nomological perspective, we also analysed the links between the exercises dimensions, personality inventorie and intelligence scale. The findings suggest that role play dimension, personality and intelligence seem to measure different thinks.     

Les représentations de l’entretien structuré chez les recruteurs

We studied recruiters’ representations of the structured interview. In Study 1, 90 recruiters were interviewed. They define “structure” mainly as a schema or list of questions. The terms “structured” and “unstructured” also have different connotations. This can create a social desirability bias in surveys on selection practices, causing an overestimation of the real prevalence of structured interviewing. In Study 2, 59 recruiters responded to a questionnaire. Attitudes towards structured interviews are positive, but representations diverge from scientific definitions, especially regarding unstructured interviews. Recruiters’ representations allow flexibility in practice while maintaining a positive self-image.