‘Can thought go on without a body?’ On the relationship between machines and organisms in media philosophy<sup>†</sup>

Balke, Friedrich

doi:10.1080/09502386.2016.1180744

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…The team was provided with an extraction guide that clearly describes cadastral objects to be extracted, input dataset with clear digitising rules. 7 Using more than one person allowed to assess human consistency In an ideal case, a one to one relationship is obtained where desirably one parcel in the reference is explained by one parcel in the extracted data set (…”

Section: Manual Digitisationmentioning

confidence: 99%

“…The emergence of Artificial Intelligence (AI) concepts, methods, and techniques in the 1950-1960s [15]; [39]; [59]; [64], ushered in a new era of the longstanding philosophical debate and technical competition between the merits of 'man' versus machine [7]; [13]; [23]; [28]; [46]; [50]; [52]; [62]; [66]; [73]. The optimistic perspective saw machine as unavoidable: as people become more intelligent, they can prescribe precision and program performance of a high quantity task to automation [73].…”

Section: Introductionmentioning

confidence: 99%

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Comparing Human versus Machine-Driven Cadastral Boundary Feature Extraction

Nyandwi¹,

Koeva²,

Kohli³

et al. 2019

Preprint

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The objective to fast-track the mapping and registration of large numbers of unrecorded land rights globally, leads to the experimental application of Artificial Intelligence (AI) in the domain of land administration, and specifically the application of automated visual cognition techniques for cadastral mapping tasks. In this research, we applied and compared the ability of rule-based systems within Object Based Image Analysis (OBIA), as opposed to human analysis, to extract visible cadastral boundaries from Very high resolution (VHR) World View-2 image, in both rural and urban settings. From our experiments, machine-based techniques were able to automatically delineate a good proportion of rural parcels with explicit polygons where the correctness of the automatically extracted boundaries was 47.4% against 74.24% for humans and the completeness of 45% for machine, as against 70.4% for humans. On the contrary, in the urban area, automatic results were counterintuitive: even though urban plots and buildings are clearly marked with visible features such as fences, roads and tacitly perceptible to eyes, automation resulted in geometrically and topologically poorly structured data, that could neither be geometrically compared  with human digitised, nor actual cadastral data from the field. These results provide an updated snapshot with regards to the performance of contemporary machine-drive feature extraction techniques compared to conventional manual digitising.

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Section: Manual Digitisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparing Human versus Machine-Driven Cadastral Boundary Feature Extraction

Nyandwi¹,

Koeva²,

Kohli³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…While seven articles utilized affect from 2000 to 2010, ten articles have done so from 2017 until this writing. There has also been renewed interest in the concept of 'the machine' (e.g, Balke's [2016] use of Deleuze and Guattari to critique the nature/technics dualism), although much of this work erroneously conflates 'the machinic' with what Deleuze and Guattari call 'technical machines' (1983b, p. 141). 10.…”

Section: Deleuzoguattarian Transformations Of Cultural Studiesmentioning

confidence: 99%