43,098 research outputs found

    Institutional reflexivity

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    How can we understand the innovativeness of firms or organizations in general, and how should we assess it in terms of nontechnological innovation? My paper deals with these two questions. The ability of companies to adapt to new circumstances, to create new products, processes and new knowledge, has been conceptualized in many approaches. Some of them simply define a list of (critical) success factors or (key) performance indicators as tools for ranking and evaluation, without any theoretical reference. Others, like the resource-based or capability-based approach(es), work with theoretical references, but are still very weak in operationalizing of what they call capability. My paper gives a critical description of this situation and offers a new proposal to classify and to measure the inclination of organizations to innovate in all dimensions. This proposal roots in pragmatistic thinking as represented in the theory of reflexive modernization and in the pragmatist version of organizational learning theory. Empirically, it has been applied merely in case studies yet. A survey project is in preparation. --Absorptive Capacity,Competence-Based View,Dynamic Capabilities

    Probabilistic Hybrid Action Models for Predicting Concurrent Percept-driven Robot Behavior

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    This article develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern percept-driven robot plans. PHAMs represent aspects of robot behavior that cannot be represented by most action models used in AI planning: the temporal structure of continuous control processes, their non-deterministic effects, several modes of their interferences, and the achievement of triggering conditions in closed-loop robot plans. The main contributions of this article are: (1) PHAMs, a model of concurrent percept-driven behavior, its formalization, and proofs that the model generates probably, qualitatively accurate predictions; and (2) a resource-efficient inference method for PHAMs based on sampling projections from probabilistic action models and state descriptions. We show how PHAMs can be applied to planning the course of action of an autonomous robot office courier based on analytical and experimental results

    Mathematical practice, crowdsourcing, and social machines

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    The highest level of mathematics has traditionally been seen as a solitary endeavour, to produce a proof for review and acceptance by research peers. Mathematics is now at a remarkable inflexion point, with new technology radically extending the power and limits of individuals. Crowdsourcing pulls together diverse experts to solve problems; symbolic computation tackles huge routine calculations; and computers check proofs too long and complicated for humans to comprehend. Mathematical practice is an emerging interdisciplinary field which draws on philosophy and social science to understand how mathematics is produced. Online mathematical activity provides a novel and rich source of data for empirical investigation of mathematical practice - for example the community question answering system {\it mathoverflow} contains around 40,000 mathematical conversations, and {\it polymath} collaborations provide transcripts of the process of discovering proofs. Our preliminary investigations have demonstrated the importance of "soft" aspects such as analogy and creativity, alongside deduction and proof, in the production of mathematics, and have given us new ways to think about the roles of people and machines in creating new mathematical knowledge. We discuss further investigation of these resources and what it might reveal. Crowdsourced mathematical activity is an example of a "social machine", a new paradigm, identified by Berners-Lee, for viewing a combination of people and computers as a single problem-solving entity, and the subject of major international research endeavours. We outline a future research agenda for mathematics social machines, a combination of people, computers, and mathematical archives to create and apply mathematics, with the potential to change the way people do mathematics, and to transform the reach, pace, and impact of mathematics research.Comment: To appear, Springer LNCS, Proceedings of Conferences on Intelligent Computer Mathematics, CICM 2013, July 2013 Bath, U

    Towards composition of verified hardware devices

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    Computers are being used where no affordable level of testing is adequate. Safety and life critical systems must find a replacement for exhaustive testing to guarantee their correctness. Through a mathematical proof, hardware verification research has focused on device verification and has largely ignored system composition verification. To address these deficiencies, we examine how the current hardware verification methodology can be extended to verify complete systems

    Conditionals and modularity in general logics

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    In this work in progress, we discuss independence and interpolation and related topics for classical, modal, and non-monotonic logics

    Intuitionistic Mereology

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    Two mereological theories are presented based on a primitive apartness relation along with binary relations of mereological excess and weak excess, respectively. It is shown that both theories are acceptable from the standpoint of constructive reasoning while remaining faithful to the spirit of classical mereology. The two theories are then compared and assessed with regard to their extensional import

    The Emergence and Evolution of Institutions: The Complementary Approaches of Carl Menger and Thorstein Veblen

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    This paper is an attempt to compare Carl Menger and Thorstein Veblen,’s conceptions of institutions. It is shown that although Menger stresses on the emergence of institutions, Veblen is much aware of analyzing their evolution. On this basis the idea of a dialogue between the two authors is propose and its characteristics are presented.Menger, Veblen, institutions, evolution, emergence

    Belief Dynamics: (Epistemo)logical Investigations

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    C.S. Peirce's and Isaac Levi's accounts of the belief-doubt-belief model are discussed and evaluated. It is argued that the contemporary study of belief change has metamorphosed into a branch of philosophical logic where empirical considerations have become obsolete. A case is made for reformulations of belief change systems that do allow for empirical tests. Last, a belief change system is presented that (1) uses finite representations of information, (2) can adequately deal with inconsistencies, (3) has finite operations of change, (4) can do without extra-logical elements, and (5) only licenses consistent beliefs
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