Our focus here is to provide a methodology that can be used by a participant in an adversarial decision-making environment to help choose their action. Central to our approach is the use of knowledge and perceptions about one's adversary to obtain an uncertainty profile indicating which action the a
Coherent knowledge structure and theory-based approach to categorization
β Scribed by Shimelis Assefa
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 2009
- Tongue
- English
- Weight
- 131 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0044-7870
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
How we understand our surroundings is an age old question. The general understanding is that it is through concepts, categories, and relations that we make sense of our world. This study presents a result of a dissertation that attempted to investigate the nexus between human cognition of concepts/categories and the knowledge structure in the unified medical language system (UMLS). In contrast to the classical account that views category as structures organized in terms of similarity, this study takes a new approach that explains categories as structures organized around theories. The findings reveal that humans largely use simplified rules, definition type descriptions, and naΓ―ve explanations as bases for categorization judgment (coherence criteria). These explanations research participants used to characterize their category formation, after a careful text analysis, created meaningful and coherent interrelationships when plotted in a visual link chart. The performance of the cognitive task also showed a remarkable difference between those with subject background and those without. Using the least restrictive notion of βdistanceβ as a function of relatedness, this study also showed a significant correspondence between human conceptual map (based on the cognitive performance) and the knowledge structure in the UMLS, as shown by the goodnessβofβfit coefficient.
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