Scenarios through linguistic modelling

Korn, J.

doi:10.1049/ic:20000500

Cited by 4 publications

(25 citation statements)

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“…Again, the application of the adjacency pair rule helps this. Korn (2000) suggests that adjectives and adverbs introduce subjective possibilities of success into scenarios. Subjectivity can lead to misunderstanding.…”

Section: Understanding Is a Process Of Managing Working Memorymentioning

confidence: 99%

Assessing the quality of use case descriptions

2007

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Use cases have, for some years, been a popular approach to specification, as part of the Unified Modelling Language (UML). However, a number of authors have pointed to weaknesses with the approach, particularly in terms of the support offered to the writer of the use case description. This paper describes a Use Case Description Quality Checklist that acts as a check on the quality of the written description. The checklist is derived from theories of text comprehension, taken from the Discourse Processing community. The checklist approach has a number of benefits. First, the approach can be used to derive, or examine further, use case guidelines. That is, by considering whether such guidelines are likely to result in desirable qualities within the resulting description, one is able to make an informed judgement about the utility of those guidelines. Second, one can test for the desirable quality features in existing descriptions, thus enabling empirical validation. Third, as a minimum, the quality features can themselves be used as a checklist for the examination, and revision, of use case descriptions. To demonstrate applicability, the paper reports upon the use, and success, of the approach on an industrial case study.

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Section: Understanding Is a Process Of Managing Working Memorymentioning

confidence: 99%

Assessing the quality of use case descriptions

2007

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“…This fits into the "Logic of systems science" which is given by the following sequence (Korn, 2016): The operational model conforms in detail to the scheme in Figure 1, the universal model but is constructed from "elementary constituents". Sentences in a story are converted by linguistic analysis of linguistic complexities using meaning preserving transformations into homogeneous language of 1and 2place sentences which are the "elementary constituents" (Korn et al, 1991, Korn, 2009. For example:…”

Section: Modelsmentioning

confidence: 99%

Crisis in systems thinking

Korn

2019

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Purpose The current field of systems thinking consists of a variety of views, methods and a number of organisations involved with these views which suggests a state of confusion and fragmentation of the field which fundamentally is supposed to be a uniform view of structures or systems. This can be interpreted as a “crisis situation”. A resolution of the crisis in the form of a “new science of systems” is proposed. Assuming this new science becomes part of the field of systems thinking, a debate of the elements of the field is suggested with a view to consider its current state and future developments. “Crisis - resolution - debate” is the central theme of the paper. Design/methodology/approach The field of current systems thinking is described in terms of views, methods and organisations and is seen as the “problematic issue”. A “new science of systems” strongly rooted in natural language as its primary symbolism and consisting of three general principles of systems and linguistic modelling is outlined to be considered as the resolution of the crisis. A set of criteria is discussed for use of judging the quality of models and element of the field of systems thinking including the “new science of systems”. To demonstrate a preliminary use of these criteria, the same example is worked out using both, the “soft systems methodology” and “linguistic modelling” for comparison. Findings The universal view of parts of the world as structures or systems is inconsistent with the multiple methods basically pursuing the same purpose: modelling aspects of systems which prevail in current systems thinking. To try to resolve this anomaly an equally universally applicable approach, the “new science of systems” is proposed which can also serve as an aid to problem solving, in particular to an integrated systems and product design. This approach is to be part of the suggested debate of the field of systems thinking. In general, there is no alternative to the structural view. Research limitations/implications The “new science of systems”, if found acceptable, can offer research opportunities in new applications of accepted branches of knowledge like logic, linguistics, mathematics of ordered pairs, uncertainties and in the philosophy of science. New teaching schemes can be developed at classroom level combined with engineering as creator of novelties with linguistics as the symbolism to supplement mathematics. Further considerations can be given to current methodologies of systems thinking as part of a debate with a view of future developments in exploring pioneering ideas. New software is needed for working out the dynamics of scenarios. Practical implications The debate, if it takes place, should result in new developments in the field of systems thinking such as concepts accepted as fundamental in the discipline of systems. Applications of the “new science of systems” to larger scale scenarios and organisations guided by the universal scheme in Figure 1 and linguistic modelling with software are needed for development of schemes for problem solving schemes “utilising” or “producing” products. Social implications The “new science of systems” is rooted in accepted branches of knowledge; it is highly teachable at school and university levels and should lead to use by professionals and in everyday life activities once found acceptable. The use of the scheme in Figure 1 should help in clarifying confusing scenarios and to aid problem solving. Originality/value The suggestion of a debate is an original idea. The “new science of systems” consists of three general principles of systems implemented by linguistic modelling of static and dynamic states. Mathematics of uncertainty and topics from conventional science at the object level supplement the “new science” which together form the “scientific enterprise”. The notions of cognitive value and informative content of models are introduced for evaluating their cognitive worth.

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“…The branch of “structural interest” in Contour 9 in Figure 1 aims at the development of methods of “problem-solving” in accordance with a purpose (Wiener, 1961; Korn, 2009, 2012, 2013, 2016). Problem-solving, as understood here, involves representation of the scenario in which the problem is perceived to exist.…”

Section: Problems and Paradigm Changes In Recent Human Intellectual Endeavourmentioning

confidence: 99%

“…This paper is concerned with introducing Points 1 and 3 based on the development of aspects of previous work (Korn, 2009, 2013, 2016).…”

Section: Problems and Paradigm Changes In Recent Human Intellectual Endeavourmentioning

confidence: 99%

“…In this context, the further aim of this paper or the programme of research is to suggest a number of propositions as required by expression (2), which are intended to support the “characteristics” and which may be regarded as the general principles of systems . An application of linguistic modelling as part of expression (2) is outlined and used in an example (Korn, 2009, 2013, 2016). Natural language is the primary model, immediately comprehended and its generality matches that of the “systemic view”.…”

Section: Problems and Paradigm Changes In Recent Human Intellectual Endeavourmentioning

confidence: 99%

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General principles of systems

Korn¹

2018

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Purpose Three problematic issues followed by paradigm changes over the recent history of human intellectual endeavour are identified as 1. mysticism/superstition to – conventional science (of physics), 2. predominant use of qualitative/quantitative properties for analysis and design to – structural or systemic properties, and 3. current speculative/fragmented, multiple approaches to the “systemic view” to – a firmer knowledge-based approach reflecting the empirical and universal nature of this view. This paper aims to consider the problematic issues, to conclude that conventional science is inadequate to cope with the 2nd paradigm change and to introduce a “new science of systems” which can integrate conventional science and alleviate the 3rd problematic issue by suggesting three principles implemented by linguistic modelling as operational model. Design/methodology/approach The highly successful methodology of conventional science is followed with systemic content by suggesting three general principles of systems, namely, principle of existence (pervasiveness of structural description), principle of complexity (aggregates for emergence of outcomes) and principle of change (change by purpose or chance), and linguistic modelling of static and dynamic scenarios based on natural language as operational model. This language is processed to “elementary constituents”, of which complex structures can be constructed. These constituents are converted into reasoning schemes consisting of “ordered pairs” and “predicate logic statements” in static and dynamic states. Findings Stories of problematic scenarios are converted into the universal scheme of “management/producers” – “products” – “users/consumers” by constructing linguistic networks of products and semantic diagrams of organizations/user/consumers for investigating the emergence of outcomes in analysis and for designing prototypes. Problematic issues of individual objects in a scenario are resolved by methods of conventional science, which is thus integrated with systems science to form the “scientific enterprise”. Research limitations/implications Once the new approach is debated, further developments in the mathematics of ordered pairs, predicate logic and uncertainties are needed. The linguistic basis is to be further investigated. Connection with AI and “logical atomism of Bertrand Russell” is to be explored. Practical implications Further applications to large-scale scenarios by practitioners using the “universal scheme” and development of software are needed. Social implications The approach is rooted in accepted branches of knowledge, is highly teachable and should lead to be used by professionals and others once debated and accepted.

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Scenarios through linguistic modelling

Cited by 4 publications

References 0 publications

Assessing the quality of use case descriptions

Assessing the quality of use case descriptions

Crisis in systems thinking

General principles of systems

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