9,862 research outputs found

    METAPHORS AND DIRECTIVE SPEECH ACTS IN THE JAVANESE PROVERBS

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    The current study investigated directive speech acts and metaphors in the Javanese Proverbs. In order to fulfill this goal, the researcher identifies the structural forms, the communicative function, the felicity conditions and the metaphor mapping. The felicity condition will explore four components: a) propositional content, b) preparatory condition, c) sincerity condition, and d) essential rule. Besides, the metaphor mapping will identify three components: a) objects/ idea, b) meaning, and c) mapping process. The current research would be designed as qualitative research. The researcher had choosen the purposive proverbs from the collection of Pitutur Luhur Budaya Jawa (has been composed by certain writers). Due to the investigation, the researcher found some findings:a) there would be two structural forms of the Javanese proverbs (declarative and imperative), b) there were four communicative functions or directive speech acts in the proverbs (prohibition, requirement, command, and suggestion), c) the researcher found that the Javanese proverbs contain the direct and indirect speech act. Beside those findings, the researcher also investigates certain animals and plants (as metaphorical expressions or idea) in the Javanese proverbs such as 1) kebo gupak (buffalo) and tiger (macan) as the people whose bad behaviour, 2) gagak (crow), timun (cucumber), and ant (semut) as the poorer/the weaker people, 3) merak (peacock), duren (king fruit), and elephant (gajah) as the richer people/ the stronger people, 4) mushroom (jamur) as the best result, 5) watang (stalk) as the difficult step or effort, 6) snake (ula) as the figures/ common people, 7) candlenut (kemiri), 8) bebek (duck), 9) kidang (deer)

    A Survey of Languages for Specifying Dynamics: A Knowledge Engineering Perspective

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    A number of formal specification languages for knowledge-based systems has been developed. Characteristics for knowledge-based systems are a complex knowledge base and an inference engine which uses this knowledge to solve a given problem. Specification languages for knowledge-based systems have to cover both aspects. They have to provide the means to specify a complex and large amount of knowledge and they have to provide the means to specify the dynamic reasoning behavior of a knowledge-based system. We focus on the second aspect. For this purpose, we survey existing approaches for specifying dynamic behavior in related areas of research. In fact, we have taken approaches for the specification of information systems (Language for Conceptual Modeling and TROLL), approaches for the specification of database updates and logic programming (Transaction Logic and Dynamic Database Logic) and the generic specification framework of abstract state machine

    Cognitive Computation sans Representation

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    The Computational Theory of Mind (CTM) holds that cognitive processes are essentially computational, and hence computation provides the scientific key to explaining mentality. The Representational Theory of Mind (RTM) holds that representational content is the key feature in distinguishing mental from non-mental systems. I argue that there is a deep incompatibility between these two theoretical frameworks, and that the acceptance of CTM provides strong grounds for rejecting RTM. The focal point of the incompatibility is the fact that representational content is extrinsic to formal procedures as such, and the intended interpretation of syntax makes no difference to the execution of an algorithm. So the unique 'content' postulated by RTM is superfluous to the formal procedures of CTM. And once these procedures are implemented in a physical mechanism, it is exclusively the causal properties of the physical mechanism that are responsible for all aspects of the system's behaviour. So once again, postulated content is rendered superfluous. To the extent that semantic content may appear to play a role in behaviour, it must be syntactically encoded within the system, and just as in a standard computational artefact, so too with the human mind/brain - it's pure syntax all the way down to the level of physical implementation. Hence 'content' is at most a convenient meta-level gloss, projected from the outside by human theorists, which itself can play no role in cognitive processing

    From Biological to Synthetic Neurorobotics Approaches to Understanding the Structure Essential to Consciousness (Part 3)

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    This third paper locates the synthetic neurorobotics research reviewed in the second paper in terms of themes introduced in the first paper. It begins with biological non-reductionism as understood by Searle. It emphasizes the role of synthetic neurorobotics studies in accessing the dynamic structure essential to consciousness with a focus on system criticality and self, develops a distinction between simulated and formal consciousness based on this emphasis, reviews Tani and colleagues' work in light of this distinction, and ends by forecasting the increasing importance of synthetic neurorobotics studies for cognitive science and philosophy of mind going forward, finally in regards to most- and myth-consciousness

    Integrated Modeling and Verification of Real-Time Systems through Multiple Paradigms

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    Complex systems typically have many different parts and facets, with different characteristics. In a multi-paradigm approach to modeling, formalisms with different natures are used in combination to describe complementary parts and aspects of the system. This can have a beneficial impact on the modeling activity, as different paradigms an be better suited to describe different aspects of the system. While each paradigm provides a different view on the many facets of the system, it is of paramount importance that a coherent comprehensive model emerges from the combination of the various partial descriptions. In this paper we present a technique to model different aspects of the same system with different formalisms, while keeping the various models tightly integrated with one another. In addition, our approach leverages the flexibility provided by a bounded satisfiability checker to encode the verification problem of the integrated model in the propositional satisfiability (SAT) problem; this allows users to carry out formal verification activities both on the whole model and on parts thereof. The effectiveness of the approach is illustrated through the example of a monitoring system.Comment: 27 page

    What goes left and what goes right

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