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Thesis Info
- LABS ID
- 00325
- Thesis Title
- Intentional Systems and the Artificial Intelligence (AI) Hermeneutic Network: Agency and Intentionality in Expressive Computational Systems
- Author
- Jichen Zhu
- E-mail
- jichen AT gatech.edu
- 2nd Author
- 3rd Author
- Degree
- Ph.D.
- Year
- 2009
- Number of Pages
- 237
- University
- Georgia Institute of Technology
- Thesis Supervisor
- D. Fox Harrell
- Supervisor e-mail
- Other Supervisor(s)
- Language(s) of Thesis
- English
- Department / Discipline
- Digital Media
- Copyright Ownership
- Jichen Zhu
- Languages Familiar to Author
- English
- URL where full thesis can be found
- Keywords
- Artificial Intelligence, intentionality, hermeneutics, ineractive narrative
- Abstract: 200-500 words
- Human interaction with technical artifacts is often mediated by treating them as if they are alive. We exclaim "my car doesn't want to start," or "my computer loves to crash." Of increasing cultural importance are software systems designed explicitly to perform tasks and/or exhibit complex behaviors usually deemed as intentional human phenomena, including creating, improvising, and learning. Compared to the instrumental programs (e.g., Adobe Photoshop), these intentional systems (e.g., George Lewis' musical system Voyager) seem to produce output that is "about" certain things in the world rather than the mere execution of algorithmic rules. This dissertation investigates such phenomena with two central research questions: (1) How is system intentionality formed? and (2) What are the design implications for building systems that utilize such intentionality as an expressive resource. In the discourse of artificial intelligence (AI) practice, system intentionality is typically seen as a technical and ontological property of a computer program, emerging from its underlying algorithms and knowledge engineering. Distilling from the areas of hermeneutics, actor-network theory, cognitive semantics theory, and philosophy of mind, this dissertation proposes a humanistic and interpretive framework called the AI hermeneutic network. It accentuates that system intentionality is narrated and interpreted by its human creators and users in their socio-cultural settings. Special attention is paid to system authors' discursive strategies, a constitutive component of AI, embedded in their source code and technical literature. The utility of the framework is demonstrated by a close analytical reading of a full-scale AI system, Copycat. The theoretical discovery leads to new design strategies, namely scale of intentionality and agency play. They provide insights for using system intentionality and agency as expressive resources that can be used to convey meanings and express ideas. The fruits of these insights are illustrated by a stream of consciousness literature inspired interactive narrative project Memory, Reverie Machine, co-developed using Harrell's GRIOT system. It portrays a protagonist whose intentionality and agency vary dynamically in service of narrative needs.