3 resultados para Shadow systems

em ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal


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Pedro Feytor Pinto headed the Department of Information Services (SEIT) in the government of Marcello Caetano who replaced Antonio Oliveira Salazar in 1968 as the head of the Portuguese government. Feytor Pinto has just released a book entitled Na Sombra do Poder (In the Shadow of Power)[Lisboa, D. Quixote, 2011, pp. 402]. Not wishing to classify it as history or memoirs, yet hoping that historians may find it useful, the author chooses to narrate events as he experienced them from his vantage point in the shadow of Power, during the years ending with the Carnation Revolt of 25 April 1974, which put an end to half a century of dictatorship, known as Estado Novo.

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The ability to foresee how behaviour of a system arises from the interaction of its components over time - i.e. its dynamic complexity – is seen an important ability to take effective decisions in our turbulent world. Dynamic complexity emerges frequently from interrelated simple structures, such as stocks and flows, feedbacks and delays (Forrester, 1961). Common sense assumes an intuitive understanding of their dynamic behaviour. However, recent researches have pointed to a persistent and systematic error in people understanding of those building blocks of complex systems. This paper describes an empirical study concerning the native ability to understand systems thinking concepts. Two different groups - one, academic, the other, professional – submitted to four tasks, proposed by Sweeney and Sterman (2000) and Sterman (2002). The results confirm a poor intuitive understanding of the basic systems concepts, even when subjects have background in mathematics and sciences.

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The ability to foresee how behaviour of a system arises from the interaction of its components over time - i.e. its dynamic complexity – is seen an important ability to take effective decisions in our turbulent world. Dynamic complexity emerges frequently from interrelated simple structures, such as stocks and flows, feedbacks and delays (Forrester, 1961). Common sense assumes an intuitive understanding of their dynamic behaviour. However, recent researches have pointed to a persistent and systematic error in people understanding of those building blocks of complex systems. This paper describes an empirical study concerning the native ability to understand systems thinking concepts. Two different groups - one, academic, the other, professional – submitted to four tasks, proposed by Sweeney and Sterman (2000) and Sterman (2002). The results confirm a poor intuitive understanding of the basic systems concepts, even when subjects have background in mathematics and sciences.