Explorations in Information Space: Knowledge, Agents, and - download pdf or read online

By Max H. Boisot, Ian C. MacMillan, Kyeong Seok Han

ISBN-10: 019153059X

ISBN-13: 9780191530593

ISBN-10: 0199250871

ISBN-13: 9780199250875

With the increase of the data financial system, the information content material of products and prone goes up simply as their fabric content material is declining. financial worth is more and more noticeable to dwell within the former - that's, in intangible resources - instead of within the latter. but we continue eager to flip wisdom again into whatever tangible, anything with yes obstacles which are measured, manipulated, appropriated, and traded. in brief, we wish to reify

Scholars were debating the character of data because the time of Plato. Many new insights were received from those debates, yet little theoretical consensus has been completed. via six thematically associated chapters, the ebook articulates the theoretical method of the creation and distribution of information that underpins Max Boisot's conceptual framework, the data house or I-Space. during this manner the publication seems to be to supply theoretical and useful underpinnings to Boisot's book
Knowledge resources (OUP, 1998).

Following an introductory bankruptcy, how wisdom pertains to facts and data is first tested in bankruptcy 1, and the way assorted fiscal actors - marketers, managers, and so forth - use wisdom as a foundation for motion is explored in bankruptcy 2. bankruptcy three appears at how the heterogeneity of monetary actors arises evidently from their respective facts processing ideas inspite of any similarities within the information that they could percentage. bankruptcy four argues, contra a lot transaction-based economics,
that an organizational order should have preceded a marketplace order, anything that are meant to be mirrored in any knowledge-based idea of the company. bankruptcy five discusses the cultural and institutional value of other different types of wisdom flows. ultimately, bankruptcy 6 provides an agent-based simulation model,
SimISpace, that illustrates how the I-Space will be utilized to concrete difficulties such these of highbrow estate rights. A concluding bankruptcy proposes a learn time table in keeping with the theorizing built within the book.

The process the booklet units out is utilized by an entire variety of businesses to problems with wisdom administration, coverage, economics, and organizational and cultural switch.

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Extra info for Explorations in Information Space: Knowledge, Agents, and Organization

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In Shannon’s view, information content is set by the ratio of actual to possible events. In the examples that he gives, however, both the repertoire of possible events and their frequency are fixed a priori, so that the computation of information content is straightforward. Yet, to stay with the example of the English language, as soon as we move up to the level of sentences and paragraphs, the number of possible sentence constructions moves to infinity. Does this mean that information content moves to infinity?

Here, information is asymmetrically distributed when the first game takes place and is common knowledge by the time the last game occurs. This situation can also be made to work in reverse. Information can start off as common knowledge in a first game and become asymmetrically distributed by the time the last one occurs. Williamson takes this latter outcome as resulting from a ‘fundamental transformation’, wherein an initial large-numbers bargaining process by degrees gets transformed into a small-numbers bargaining process.

Shannon thus sought to offer a clear line of demarcation between information and knowledge. Crucially, information theory takes the repertoire of symbols to be transmitted as a given. It does not ask how the repertoire came into being, whence the distinctness of the symbol system came from, or whether the symbolic repertoire was established by prior convention or through a gradual process of discovery. Yet, before we are in a position to extract information from a symbol, we first need to extract the information that it is indeed a symbol and hence an acceptable candidate for further processing.

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Explorations in Information Space: Knowledge, Agents, and Organization by Max H. Boisot, Ian C. MacMillan, Kyeong Seok Han

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