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John Langshaw Austin

Bio: John Langshaw Austin is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 15245 citations.

Papers
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Book
01 Jan 1962
TL;DR: In this paper, the authors presented a series of lectures with the following topics: Lecture I * Lecture II* Lecture III * Lectures IV* Lectures V * LectURE VI * LectURES VI * LII * LIII * LIV * LVI * LIX
Abstract: * Lecture I * Lecture II * Lecture III * Lecture IV * Lecture V * Lecture VI * Lecture VII * Lecture VIII * Lecture IX * Lecture X * Lecture XI * Lecture XII

15,492 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors propose a paradigm for managing the dynamic aspects of organizational knowledge creating processes, arguing that organizational knowledge is created through a continuous dialogue between tacit and explicit knowledge.
Abstract: This paper proposes a paradigm for managing the dynamic aspects of organizational knowledge creating processes. Its central theme is that organizational knowledge is created through a continuous dialogue between tacit and explicit knowledge. The nature of this dialogue is examined and four patterns of interaction involving tacit and explicit knowledge are identified. It is argued that while new knowledge is developed by individuals, organizations play a critical role in articulating and amplifying that knowledge. A theoretical framework is developed which provides an analytical perspective on the constituent dimensions of knowledge creation. This framework is then applied in two operational models for facilitating the dynamic creation of appropriate organizational knowledge.

17,196 citations

Journal ArticleDOI
TL;DR: Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents as discussed by the authors ; agent architectures can be thought of as software engineering models of agents; and agent languages are software systems for programming and experimenting with agents.
Abstract: The concept of an agent has become important in both Artificial Intelligence (AI) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents. For convenience, we divide these issues into three areas (though as the reader will see, the divisions are at times somewhat arbitrary). Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents. Agent architectures can be thought of as software engineering models of agents;researchers in this area are primarily concerned with the problem of designing software or hardware systems that will satisfy the properties specified by agent theorists. Finally, agent languages are software systems for programming and experimenting with agents; these languages may embody principles proposed by theorists. The paper is not intended to serve as a tutorial introduction to all the issues mentioned; we hope instead simply to identify the most important issues, and point to work that elaborates on them. The article includes a short review of current and potential applications of agent technology.

6,714 citations

Journal ArticleDOI
TL;DR: Standard alphabetical procedures for organizing lexical information put together words that are spelled alike and scatter words with similar or related meanings haphazardly through the list.
Abstract: Standard alphabetical procedures for organizing lexical information put together words that are spelled alike and scatter words with similar or related meanings haphazardly through the list. Unfortunately, there is no obvious alternative, no other simple way for lexicographers to keep track of what has been done or for readers to find the word they are looking for. But a frequent objection to this solution is that finding things on an alphabetical list can be tedious and time-consuming. Many people who would like to refer to a dictionary decide not to bother with it because finding the information would interrupt their work and break their train of thought.

5,038 citations

Book
18 Aug 2002
TL;DR: Discourse Analysis as Theory and Method as discussed by the authors is a systematic introduction to discourse analysis as a body of theories and methods for social research, which brings together three central approaches, Laclau and Mouffe's discourse theory, critical discourse analysis and discursive psychology, to establish a dialogue between different forms of discourse analysis often kept apart by disciplinary boundaries.
Abstract: Discourse Analysis as Theory and Method is a systematic introduction to discourse analysis as a body of theories and methods for social research. It brings together three central approaches, Laclau and Mouffe's discourse theory, critical discourse analysis and discursive psychology, in order to establish a dialogue between different forms of discourse analysis often kept apart by disciplinary boundaries. The book introduces the three approaches in a clear and easily comprehensible manner, explaining the distinctive philosophical premises and theoretical perspectives of each approach as well as the methodological guidelines and tools they provide for empirical discourse analysis. The authors also demonstrate the possibilities for combining different discourse analytical and non-discourse analytical approaches in empirical study. Finally, they contextualize discourse analysis within the social constructionist debate about critical social research, rejecting the view that a critical stance is incompatible with social constructionist premises and arguing that critique must be an inherent part of social research.

3,598 citations

Journal ArticleDOI

3,395 citations