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Please use this identifier to cite or link to this item:
https://hdl.handle.net/10119/12884
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| Title: | The Generalist Approach to Frame Problems |
| Authors: | Hidaka, Shohei
Kashyap, Neeraj |
| Keywords: | Frame problem |
| Issue Date: | 2014-12 |
| Publisher: | The Institute of Electrical Engineers of Japan |
| Magazine name: | Proceedings of Asian Conference on Information Systems 2014 (ACIS2014) |
| Start page: | 311 |
| End page: | 318 |
| Abstract: | The frame problem commonly appears in the field of artificial intelligence and in related philosophical literature. It pertains to the difficulty of making meaningful inferences in dynamic contexts. We discuss the frame problem and its manifestations in the practical design of artificial agents, and we set out some criteria against which the effectiveness of such an agent may be judged. Finally, we claim that technology currently exists in the form of a new clustering technique - dimensional clustering - which can enable an agent to satisfy these criteria. We justify this claim with three case studies where we apply dimensional clustering to data sets of varied nature. |
| Rights: | Shohei Hidaka and Neeraj Kashyap, Proceedings of Asian Conference on Information Systems 2014 (ACIS2014), 2014, pp.311-318. |
| URI: | https://hdl.handle.net/10119/12884 |
| Material Type: | author |
| Appears in Collections: | a11-1. 会議発表論文 (Conference Papers)
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| 21053.pdf | | 2287Kb | Adobe PDF | View/Open |
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