The contents and structure of semantic memory have been the focus of much recent research, with major advances in the development of distributional models, which use word co‐occurrence information as a window into the semantics of language. In parallel, connectionist modeling has extended our knowledge of the processes engaged in semantic activation. However, these two lines of investigation have rarely been brought together. Here, we describe a processing model based on distributional semantics in which activation spreads throughout a semantic network, (...) as dictated by the patterns of semantic similarity between words. We show that the activation profile of the network, measured at various time points, can successfully account for response times in lexical and semantic decision tasks, as well as for subjective concreteness and imageability ratings. We also show that the dynamics of the network is predictive of performance in relational semantic tasks, such as similarity/relatedness rating. Our results indicate that bringing together distributional semantic networks and spreading of activation provides a good fit to both automatic lexical processing (as indexed by lexical and semantic decisions) as well as more deliberate processing (as indexed by ratings), above and beyond what has been reported for previous models that take into account only similarity resulting from network structure. (shrink)

Genomics, Climate Change, Nanotechnology, Nuclear Magnetic Resonance… For the uninitiated, scientific names created by experts can be difficult to understand. Yet, people have to make decisions about the related scientific concepts. Experts reach understanding with theory and expect non-experts to do the same. However, my research shows that people can satisfy their need to make sense of what they are dealing with by just using associations triggered by a name. For example, people often unfairly presume that genomics and the controversial (...) genetic manipulation are the same because of their similar names. Resulting beliefs are convincing enough to make decisions and they are difficult to change because activated associations influence further learning. This can cause persistent misunderstandings and unnecessary controversies that can harm scientific developments. By working together, experts and the public can prevent misunderstanding by co-creating names that foster meaningful associations by non-experts and promote appropriate understandings. (shrink)

The paper presents a number of empirical arguments for the perceptual view of speech comprehension. It then argues that a particular version of phenomenal dogmatism can confer immediate justification upon belief. In combination, these two views can bypass Davidsonian skepticism toward knowledge of meanings. The perceptual view alone, however, can bypass a variation on the Davidsonian argument. One reason Davidson thought meanings were not truly graspable was that he believed meanings were private (unlike behavior). But if the perceptual view of (...) speech comprehension is correct, then meanings (or at least conveyed meanings) are public objects like other perceivable entities. Hence, there is no particular problem of language comprehension, even if meanings originate in “private” mental states. (shrink)

Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right structural form—where form could be a tree, ring, chain, grid, etc.. Although this approach can learn intuitive organizations, including a tree for animals and a ring for the color circle, it assumes a strong inductive bias that considers only these particular forms, and each form is explicitly provided as initial knowledge. Here we (...) introduce a new computational model of how organizing structure can be discovered, utilizing a broad hypothesis space with a preference for sparse connectivity. Given that the inductive bias is more general, the model's initial knowledge shows little qualitative resemblance to some of the discoveries it supports. As a consequence, the model can also learn complex structures for domains that lack intuitive description, as well as predict human property induction judgments without explicit structural forms. By allowing form to emerge from sparsity, our approach clarifies how both the richness and flexibility of human conceptual organization can coexist. (shrink)

The paper investigates relationship between working memory efficiency, defined as the result of its’ processing & storage capacity and the tendency to create assosiative memory distortions ; yield under the influence of external, suggesting factors. Both issues were examined using extended version of Deese-Roediger-McDermott procedure, modified in order to meet the study demands. Suggestion was contained in an ostentatious feedback information the participants received during the DRM procedure. Working memory was measured by standardized tasks. Study included 3 conditions, differing in (...) the quality of suggestion. Participants were assigned into 3 groups, depending on results they achieved completing the WM tasks. Obtained results alongside the previously set hypothesis, revealed that WM impacts individuals’ tendency to create false memories in DRM and that the individuals showing higher rates in WM tasks are less willing to yield to suggestion compared to those with lesser ones. It also showed that the greater amount to shift, emerges under the negative suggestion condition. Notwithstanding that the interaction effect did not achieve saliency, both analyzed factors are considered as meaningful to explain memory suggestion susceptibility in presented study. Although, obtained results emphasize the crucial role of WM efficiency, that is believed to decide the magnitude of feedback that is influential in every subject. Therefore, issue demands further exploration. (shrink)

People believe that the effects of unecological behaviors may be compensated for by engaging in alternative conservation activities. The problem is, however, that those who hold such beliefs are less likely to engage in real behaviors. Understanding the structure of compensatory beliefs could potentially minimize this negative effect. In a pair of studies we explored two aspects that appear key for compensatory beliefs 1) the similarity and 2) the relative difficulty of behaviors. We found that people spontaneously proposed compensatory behaviors (...) which belonged to the same pro-ecological domain as the corresponding initial behaviors. However, participants in the quantitative study agreed more often that they should compensate for one behavior with another when both behaviors belonged to the same cognitive category and simultaneously the compensatory behavior was relatively less demanding than the initial one. (shrink)

The nature of cultural organization remains an open anthropological question. Although we eschew any simplistic global reductionism, here we argue that three organizational features of culture, its systematicity; the recurrence of distinctions across semantic, conceptual and practical boundaries; and the 'bleeding' of properties between associated concepts, may find their origin in fundamental operating principles of the human mind: respectively, the cognitive principle of relevance, the decompositionality of cognitive processing and the network structure of semantic memory. The reframing of some features (...) of culture in cognitive terms may open up some ethnographic observations, so far resistant to anthropological explanation, to new avenues for theory and relevant data from other disciplines. (shrink)

Certain nonwords, like maluma and takete, are associated with roundness and sharpness, respectively. However, this has typically been demonstrated using explicit tasks. We investigated whether this association would be detectable using a more implicit measure—a sequential priming task. We began with a replication of the standard Maluma/Takete effect before examining whether round and sharp nonword primes facilitated the categorization of congruent shapes. We found modest evidence of a priming effect in response accuracy. We next examined whether nonword primes affected categorization (...) of ambiguous shapes, using visual and auditory primes. We found that ambiguous shapes were categorized as round more often following the presentation of a round nonword. This suggests that phonemes may activate related shape information which then affects the processing of shapes, and that this association emerges even when participants are not explicitly searching for it. (shrink)

Recent literature reported that judgments of semantic coherence are influenced by a positive affective response due to increased fluency of processing. The presented paper investigates whether fluency of processing can be modified by affective responses to the coherent stimuli as well as an automaticity of processes involved in semantic coherence judgments. The studies employed the dyads of triads task in which participants are shown two word triads and asked to solve a semantically coherent one or indicate which of the two (...) is semantically coherent. Across two studies in a dualtask paradigm we show that a) attentional resources moderate insight into semantically coherent word triads, whereas b) judgments of semantic coherence judgments are independent of attentional resources. We discuss implications of our findings for how people might form intuitive judgments of semantic coherence. (shrink)

The article deals with research on framing effects. First, I will start with classifying different approaches on framing. Subsequently, I will provide a definition of the concepts of frame, schema and framing, expand on framing research conducted so far – both theoretically and operationally. Having this equipment at hand, I will initiate a discussion on studies of framing-effects in terms of theory, methods and empirical results. This discussion leads to the conclusion that studies on framing effects are insufficiently concerned with (...) the more recent psychological constructs and theories. In merely focusing on the activation of schemata, most studies ignore the more elaborate types of framing-effects. Therefore, several empirical questions remain unanswered and some methodical chances seem to be wasted. (shrink)

The Influence of Emotional and Non-emotional Concepts Activation on Information Processing and Unintentional Memorizing The aim of the work is to compare mechanisms of semantic and emotional processing and memory. Targets were primed by category name. The congruency of prime and target was manipulated. The reaction time of lexical decisions and the effects of unintentional memorizing of word targets were measured. Activation of semantic and emotional nodes leads to faster processing of related concepts: congruent targets are processed faster than incongruent. (...) Processing congruent primed emotional concepts depends on their modality: anger and joy words are processed faster than sadness. Thus, congruently primed activating emotional concepts are processed differently from congruently primed deactivating concepts. The effectiveness of unintentional memory of emotional and non-emotional concepts is based on different mechanisms: congruently primed emotional words are better remembered than incongruently primed. The results are discussed in the framework of spreading activation theory and theory of emotional memory. (shrink)

According to the Common Ground account proposed by Stalnaker, speakers involved in a verbal interaction have different propositional attitudes towards presuppositions. In this paper we propose an experimental study aimed at estimating the psychological plausibility of the Stalnakerian model. In particular, the goal of our experiment is to evaluate variations in accepting as appropriate a sentence that triggers a presupposition, where different attitudes are taken towards the presupposition required. The study conducted suggests that if a speaker has the attitude of (...) belief towards the content of a presupposition, she may evaluate an utterance as more appropriate in a shorter time than in cases where she holds an attitude of presumption or of assumption. Therefore, data collected support the psychological soundness of what might be considered the main, but also most debated, theory of presupposition on the market. (shrink)

Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or artificial stimuli. In this paper, we focus on categories acquired from natural language stimuli, that is, words. We present a Bayesian model that, unlike previous work, learns both categories and their features in a single process. We model category induction as two interrelated subproblems: the acquisition of features that discriminate among categories, and the grouping of concepts into categories based on those features. (...) Our model learns categories incrementally using particle filters, a sequential Monte Carlo method commonly used for approximate probabilistic inference that sequentially integrates newly observed data and can be viewed as a plausible mechanism for human learning. Experimental results show that our incremental learner obtains meaningful categories which yield a closer fit to behavioral data compared to related models while at the same time acquiring features which characterize the learned categories. (shrink)

ABSTRACTHow accurate are insights compared to analytical solutions? In four experiments, we investigated how participants' solving strategies influenced their solution accuracies across different types of problems, including one that was linguistic, one that was visual and two that were mixed visual-linguistic. In each experiment, participants' self-judged insight solutions were, on average, more accurate than their analytic ones. We hypothesised that insight solutions have superior accuracy because they emerge into consciousness in an all-or-nothing fashion when the unconscious solving process is complete, (...) whereas analytic solutions can be guesses based on conscious, prematurely terminated, processing. This hypothesis is supported by the finding that participants' analytic solutions included relatively more incorrect responses than timeouts compared to their insight responses. (shrink)

Ethical decision-making research has centered on Rest’s framework that represents a rational, nonaffective model for ethical decision making. However, research in human cognition suggesting a “dual-processing” framework, composed of both rational and affective components, has been relatively ignored in the ethical decision-making literature. Examining dual-processing literature, it seems affect might be an important factor in decision making when a person’s mood is congruent with the task or situational context frame. Given that ethical decisions are serious and complex tasks, it is (...) proposed here that inducing a negative affective state might produce mood congruence, reinforce the salience of emotion for ethical decision makers, and lead to differences in decision processing. Evidence is presented documenting differences in the decisions made by ethical decision makers in a negative affective state as compared to those in either a positive or neutral affective state. (shrink)