848 resultados para Artificial intelligence (AI)


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In this paper we show how to extend clausal temporal resolution to the ground eventuality fragment of monodic first-order temporal logic, which has recently been introduced by Hodkinson, Wolter and Zakharyaschev. While a finite Hilbert-like axiomatization of complete monodic first order temporal logic was developed by Wolter and Zakharyaschev, we propose a temporal resolution-based proof system which reduces the satisfiability problem for ground eventuality monodic first-order temporal formulae to the satisfiability problem for formulae of classical first-order logic.

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A estratégia empresarial é uma disciplina jovem. Comparado com os campos de estudo de economia e sociologia o campo de estratégia empresarial pode ser visto como um fenômeno de formação mais recente, embora extremamente dinâmico em sua capacidade de criar abordagens teóricas diferenciadas. Este trabalho discute a recente proliferação de teorias em estratégia empresarial, propondo um modelo de classificação destas teorias baseado na análise empírica do modelo de escolas de pensamento em estratégia empresarial desenvolvido por Mintzberg, Ahlstrand e Lampel em seu livro Safári de Estratégia (1998). As possíveis conseqüências relativas à interação entre teoria e prática são também discutidas apresentando o que definimos como a síndrome do ornitorrinco.

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The Rational Agent model have been a foundational basis for theoretical models such as Economics, Management Science, Artificial Intelligence and Game Theory, mainly by the ¿maximization under constraints¿ principle, e.g. the ¿Expected Utility Models¿, among them, the Subjective Expected Utility (SEU) Theory, from Savage, placed as most influence player over theoretical models we¿ve seen nowadays, even though many other developments have been done, indeed also in non-expected utility theories field. Having the ¿full rationality¿ assumption, going for a less idealistic sight ¿bounded rationality¿ of Simon, or for classical anomalies studies, such as the ¿heuristics and bias¿ analysis by Kahneman e Tversky, ¿Prospect Theory¿ also by Kahneman & Tversky, or Thaler¿s Anomalies, and many others, what we can see now is that Rational Agent Model is a ¿Management by Exceptions¿ example, as for each new anomalies¿s presentation, in sequence, a ¿problem solving¿ development is needed. This work is a theoretical essay, which tries to understand: 1) The rational model as a ¿set of exceptions¿; 2) The actual situation unfeasibility, since once an anomalie is identified, we need it¿s specific solution developed, and since the number of anomalies increases every year, making strongly difficult to manage rational model; 3) That behaviors judged as ¿irrationals¿ or deviated, by the Rational Model, are truly not; 4) That¿s the right moment to emerge a Theory including mental processes used in decision making; and 5) The presentation of an alternative model, based on some cognitive and experimental psychology analysis, such as conscious and uncounscious processes, cognition, intuition, analogy-making, abstract roles, and others. Finally, we present conclusions and future research, that claims for deeper studies in this work¿s themes, for mathematical modelling, and studies about a rational analysis and cognitive models possible integration. .

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This work proposes an animated pedagogical agent that has the role of providing emotional support to the student: motivating and encouraging him, making him believe in his self-ability, and promoting a positive mood in him, which fosters learning. This careful support of the agent, its affective tactics, is expressed through emotional behaviour and encouragement messages of the lifelike character. Due to human social tendency of anthropomorphising software, we believe that a software agent can accomplish this affective role. In order to choose the adequate affective tactics, the agent should also know the student’s emotions. The proposed agent recognises the student’s emotions: joy/distress, satisfaction/disappointment, anger/gratitude, and shame, from the student’s observable behaviour, i. e. his actions in the interface of the educational system. The inference of emotions is psychologically grounded on the cognitive theory of emotions. More specifically, we use the OCC model which is based on the cognitive approach of emotion and can be computationally implemented. Due to the dynamic nature of the student’s affective information, we adopted a BDI approach to implement the affective user model and the affective diagnosis. Besides, in our work we profit from the reasoning capacity of the BDI approach in order for the agent to deduce the student’s appraisal, which allows it to infer the student’s emotions. As a case study, the proposed agent is implemented as the Mediating Agent of MACES: an educational collaborative environment modelled as a multi-agent system and pedagogically based on the sociocultural theory of Vygotsky.

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Embora os progressos na área de informática sejam bastante significativos e velozes, na tradução automática há muito ainda o que ser feito. Desde meados dos anos 40 já havia um interesse, em especial pelos americanos e ingleses, numa tradução mais rápida e eficiente de documentos russos, porém até hoje o que se vê em termos de tradução automática está aquém daquilo que se possa chamar de uma boa tradução. Para buscar uma tradução automática eficiente os cientistas têm usado como fonte principal meios estatísticos de solução para tal problema. Esse trabalho visa dar um novo enfoque a tal questão, buscando na ciência cognitiva sua principal fonte de inspiração. O resultado a que se chega com o presente trabalho é que a estatística deve continuar sendo sim uma fonte de auxílio em especial na definição de padrões. Porém, o trabalho trás consigo o propósito de levantar a sobreposição semântica como via de possível solução que possa vir auxiliar, ou, até mesmo trazer maior rapidez a questão da tradução automática. No campo organizacional levanta uma questão interessante, o valor da experiência como meio inteligente de buscar melhores resultados para as empresas.