• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • No language data
  • Tagged with
  • 2
  • 2
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The hidden/flying dragon : an exploration of the Book of Changes (I Ching) in terms of Nietzsche’s philosophy

Ku, Hay Lin Helen 30 May 2009 (has links)
The ancient Chinese I Ching, the Book of Changes, and the philosophy of the German philosopher Friedrich Nietzsche (1844-1900) both assert that the universe exists in a state of change. The I Ching, originally a book of divination, illustrates the changing phenomena of the natural world in terms of sixty-four hexagrams, which are figures composed of six lines  yielding and firm lines, representing actual conditions and relationships existing in the world and caused by the interplay between two primordial forces, yin and yang. The I Ching shows that on the macro level the Tao works in the universe, in heaven and on earth, and on the micro level it applies to man. The I Ching teaches harmony with Tao and its power (natural law and moral law), so that its reader may take appropriate action in any given situation with reference to the hexagrams and their appended judgments as revealed by the oracle. Nietzsche, however, regards the world as the Will to Power, ‘a monster of energy’, like a storming and flooding ocean eternally changing, where harmony and order seems impossible. His mouthpiece, Zarathustra, who teaches the Übermensch, encourages a war-like attitude towards life. Zarathustra’s second metamorphosis of an evolving spirit, the warrior lion, marks the difference between the Nietzschean Übermensch and the Chinese sage who attains harmony and balance within and without, a mysterious union with heaven. Zarathustra’s third metamorphosis, a playing child, creates itself as its own ‘bridge’ through a process of self-overcoming, whereas the I Ching indicates order to be the ‘bridge’ over chaos, the order of the human world being expressed in the five cardinal relationships. Whereas the I Ching advises its reader to follow their own nature and fate in order to lead a harmonious moral life, Nietzsche’s Übermensch is ‘the annihilator of morality’ and paradoxically ‘the designation of a type of supreme achievement’ (EH Books 1). With his idea of the Übermensch, Nietzsche indicates that morality is a pose (BGE 216). He seeks to make us become aware that we should invent our own virtue and create our own way in order to become what we are. He criticizes Christian morality, calling himself ‘the first immoralist’. His shocking approach attempts to make us become aware of the possibility that a ‘noble morality’ and ‘higher moralities’ ought to be possible. His Übermensch represents such a higher mode of existence. Zarathustra also teaches the doctrine of eternal recurrence, implying that moment is eternity, changelessness within change. Multifarious manifestations are the expression of the Tao. Everything is interconnected and interdependent. Whereas ordinary men see the continuity of phenomena as real, enlightened beings are aware of the transitory and illusive nature of the self and all things. The Nietzschean Übermensch embodies the characteristics of an enlightened being, a Buddha or Bodhisattva in Buddhist terms, characteristics such as wisdom and compassion. Therefore, the practice of the Bodhisattva is explored as a feasible way for actualizing the Nietzschean hypothetical Übermensch. / Thesis (DPhil)--University of Pretoria, 2009. / Philosophy / unrestricted
2

Extracting group relationships within changing software using text analysis

Green, Pamela Dilys January 2013 (has links)
This research looks at identifying and classifying changes in evolving software by making simple textual comparisons between groups of source code files. The two areas investigated are software origin analysis and collusion detection. Textual comparison is attractive because it can be used in the same way for many different programming languages. The research includes the first major study using machine learning techniques in the domain of software origin analysis, which looks at the movement of code in an evolving system. The training set for this study, which focuses on restructured files, is created by analysing 89 software systems. Novel features, which capture abstract patterns in the comparisons between source code files, are used to build models which classify restructured files fromunseen systems with a mean accuracy of over 90%. The unseen code is not only in C, the language of the training set, but also in Java and Python, which helps to demonstrate the language independence of the approach. As well as generating features for the machine learning system, textual comparisons between groups of files are used in other ways throughout the system: in filtering to find potentially restructured files, in ranking the possible destinations of the code moved from the restructured files, and as the basis for a new file comparison tool. This tool helps in the demanding task of manually labelling the training data, is valuable to the end user of the system, and is applicable to other file comparison tasks. These same techniques are used to create a new text-based visualisation for use in collusion detection, and to generate a measure which focuses on the unusual similarity between submissions. This measure helps to overcome problems in detecting collusion in data where files are of uneven size, where there is high incidental similarity or where more than one programming language is used. The visualisation highlights interesting similarities between files, making the task of inspecting the texts easier for the user.

Page generated in 0.0324 seconds