Open AccessProceedings Article
Abductive metareasoning for truth-seeking agents
Joshua Eckroth
- pp 2388-2389
TLDR
This research seeks to answer the question of how any agent that is tasked with making sense of its world, by finding explanations for evidence using domain-general strategies, may accurately and efficiently handle incomplete evidence, noisy evidence, and an incomplete knowledge base.Abstract:
My research seeks to answer the question of how any agent that is tasked with making sense of its world, by finding explanations for evidence (e.g., sensor reports) using domain-general strategies, may accurately and efficiently handle incomplete evidence, noisy evidence, and an incomplete knowledge base. I propose the following answer to the question. The agent should employ an optimal abductive reasoning algorithm (developed piece-wise and shown to be best in a class of similar algorithms) that allows it to reason from evidence to causes. For the sake of efficiency and operational concerns, the agent should establish beliefs periodically rather than waiting until it has obtained all evidence it will ever be able to obtain. If the agent commits to beliefs on the basis of incomplete or noisy evidence or an incomplete knowledge base, these beliefs may be incorrect. Future evidence obtained by the agent may result in failed predictions or anomalies. The agent is then tasked with determining whether it should retain its beliefs and therefore discount the newly-obtained evidence, revise its prior beliefs, or expand its knowledge base (what can be described as anomaly-driven or explanation-based learning).read more
References
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The Second International Chinese Word Segmentation Bakeoff.
TL;DR: The second international Chinese word segmentation bakeoff was held in the summer of 2005 and it was found that the technology has improved over the intervening two years, though the out-of-vocabulary problem is still or paramount importance.
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An Improved Chinese Word Segmentation System with Conditional Random Field
Hai Zhao,Changning Huang,Mu Li +2 more
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Canasai Kruengkrai,Kiyotaka Uchimoto,Jun'ichi Kazama,Yiou Wang,Kentaro Torisawa,Hitoshi Isahara +5 more
TL;DR: An efficient framework for training the discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging based on the Margin Infused Relaxed Algorithm is described and it is shown that it achieves superior performance compared to the state-of-the-art approaches reported in the literature.
BookDOI
Metareasoning: Thinking about Thinking
Michael T. Cox,Anita Raja +1 more
TL;DR: This volume offers a simple model of reasoning about reason as a framework for its discussions, and considers metalevel control of computational activities, introspective monitoring, distributed metareasoning, and, putting all these aspects of metareasonsing together, models of the self.
Book ChapterDOI
On the Proof Dynamics of Inference to the Best Explanation
TL;DR: This analysis provides a framework for justification, criticism, and dialogue concerning the evaluation of evidence, and should be helpful in the law of evidence and in the training of investigators.