An Evolutionary Analysis of Learned Attention

Humans and many other species selectively attend to stimuli or stimulus dimensions—but why should an animal constrain information input in this way? To investigate the adaptive functions of attention, we used a genetic algorithm to evolve simple connectionist networks that had to make categorization decisions in a variety of environmental structures. The results of these simulations show that while learned attention is not universally adaptive, its benefit is not restricted to the reduction of input complexity in order to keep it within an organism's processing capacity limitations. Instead, being able to shift attention provides adaptive benefit by allowing faster learning with fewer errors in a range of ecologically plausible environments.     

Bio-inspired computational object classification model for object recognition

Human beings can effortlessly perceive stimuli through their sensory systems to learn, understand, recognize and act on our environment or context. Over the years, efforts have been made to enable cybernetic entities to be close to performing human perception tasks; and in general, to bring artificial intelligence closer to human intelligence.Neuroscience and other cognitive sciences provide evidence and explanations of the functioning of certain aspects of visual perception in the human brain. Visual perception is a complex process, and its has been divided into several parts. Object classification is one of those parts; it is necessary for carrying out the declarative interpretation of the environment. This article deals with the object classification problem.In this article, we propose a computational model of visual classification of objects based on neuroscience, it consists of two modular systems: a visual processing system, in charge of the extraction of characteristics; and a perception sub-system, which performs the classification of objects based on the features extracted by the visual processing system.With the results obtained, a set of aspects are analyzed using similarity and dissimilarity matrices. Also based on the neuroscientific evidence and the results obtained from this research, some aspects are suggested for consideration to improve the work in the future and bring us closer to performing the task of visual classification as humans do.     

Preference for online social interactions among young people: Direct and indirect effects of emotional intelligence

The social skills model of generalized problematic internet use predicts that individuals who perceive themselves as having low social competencies are at risk to develop a preference for online social interactions (POSI), which, in turn, might lead to compulsive use of Internet communication services. The present study aims to investigate if self-reported emotional intelligence (EI)—interpersonal and intrapersonal abilities—has an effect on POSI levels, and if this effect is mediated by the subjective importance attached to the major controllability (RC) and reduced non-verbal cues (RNVC) of computer mediated communication. 192 high schools and college students were recruited. Results from structural equation modeling show that Intrapersonal EI predicts both RC and RNVC, which, in turn, predicts the level of POSI. A partial mediation effect was found. On the other hand, Interpersonal EI is significantly associated with POSI, but this association cannot be explained by RC and RNVC. Its effect on POSI seems to be either direct or explained by variables not considered in the present study.     

Early words that work: When and how virtual linguistic mimicry facilitates negotiation outcomes

We hypothesized that in online, virtual formats, negotiators receive better outcomes when mimicking their counterpart's language; furthermore, we predicted that this strategy would be more effective when occurring early in the negotiation rather than at the end, and should also be effective across both independent and interdependent cultures. Results from two experiments supported these hypotheses. Experiment 1 was conducted in Thailand and demonstrated that negotiators who actively mimicked their counterpart's language in the first 10 min of the negotiation obtained higher individual gain compared to those mimicking during the last 10 min, as well as compared to control participants. Experiment 2 replicated this effect in the United States (with Dutch and American negotiators) and also showed that trust mediated the effect of virtual linguistic mimicry on individual negotiation outcomes. Implications for virtual communication, strategic mimicry, and negotiations are discussed.     

Diversity’s harvest: Interactions of diversity sources and communication technology on creative group performance

Our research is based on arguments that three different diversity sources in groups – agreeableness, openness, and ethnicity – might simultaneously possess separation properties that result in social categorization and variety properties that provide non-redundant and value-adding information resources. To help understand how these diversity sources interact with the additive and reductive features of communication technology to impact group creativity, we designed two studies involving computer mediation, nominal group technique, and face-to-face (control) communication. Our findings suggest that agreeableness, openness, and ethic diversity possess both negative separation and positive variety properties. Whereas the separation properties of all three diversity sources, as well as the variety properties of openness diversity, are evident in newly-formed groups, the variety properties of agreeableness and ethnic diversity are only manifest in mature groups. Finally, the additive and reductive features of communication technology interact with all three diversity sources to impact creative group performance in different ways.     

Investigating student engagement in computer-supported inquiry: a process-oriented analysis

The aim of this article is to describe and analyze how computer supported inquiry learning effects two secondary school students’ engagement in a literacy learning project. With comparative analysis of various sources of data we aim to understand what engagement is, how and why it changes over time and how changes in engagement are reflected in what learners do in an actual learning context. A set of methods was implemented that aimed at process-oriented analyses in a natural context of learning, that is, observations, interviews, content analysis of computer notes and an experience sampling questionnaire. The results show that even though the students had very different motivational tendencies in a traditional classroom, both of them showed progressive task engagement in this learning project. The data also illustrate how a technology supported environment can influence the way the students construct their goals and structure their activity. We conclude that multidimensional concepts, like engagement, have the potential to link the antecedents and consequences of how students behave, how they feel, and how they think, especially in the context of new pedagogical and technology-based learning environments.

Acquisition of cognitive compiling

Language involves both structure and process. Giving each its due, we present a cognitive process model and show how its empirical success is related to claims about syntactic structure. Innate constraints on syntax are a central issue in linguistic theory, so it is a matter of concern that a widely accepted view of phrase structure constraints (X-bar theory) appears to be violated in some recent comprehension experiments with children. However, what is directly observed in the experiments is not a syntactic structure but the execution of a plan. We present a language of process for representing such plans and thereby provide a unified explanation of several developmental phenomena, including the results of the above experiments and of new experiments suggested by our approach. The explanation is in terms of the cognitive resources required to formulate and execute a plan. Since the explanation is based on nonsyntactic processing, the children's syntax need no longer be held faulty. This conclusion invigorates the claim that the range of phrase structures available to children is biologically constrained.     

Ethical and methodological aspects of medical computer data bases and knowledge bases

Ethical problems are related to computer data bases, containing data on individuals and groups of persons, as well as to computer knowledge bases, containing general rules and elements of expert systems.In the present essay the following conclusions are made regarding computer data bases: privacy, security, and confidentiality of medical computer data bases should be ensured. This duty should rest with physicians in hospitals. The principle of informed consent should be applied to gathering information which is to be stored and processed by computers. Information stored in computer data bases should not be used for purposes for which the subjects (patients as well as personnel) have not given their consent. In order to decrease the possibility of misuses of medical data bases containing information on individuals, these registers should not be linked to other central data bases.     

A model of plausibility

Plausibility has been implicated as playing a critical role in many cognitive phenomena from comprehension to problem solving. Yet, across cognitive science, plausibility is usually treated as an operationalized variable or metric rather than being explained or studied in itself. This article describes a new cognitive model of plausibility, the Plausibility Analysis Model (PAM), which is aimed at modeling human plausibility judgment. This model uses commonsense knowledge of concept-coherence to determine the degree of plausibility of a target scenario. In essence, a highly plausible scenario is one that fits prior knowledge well: with many different sources of corroboration, without complexity of explanation, and with minimal conjecture. A detailed simulation of empirical plausibility findings is reported, which shows a close correspondence between the model and human judgments. In addition, a sensitivity analysis demonstrates that PAM is robust in its operations.