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This paper provides a lower bound on the size of structured Decomposable Negation Normal Form (DNNF) representations of Boolean functions, introducing the concept of decompositions and demonstrating their implications for understanding the size and efficiency of various representations including Ordered Binary Decision Diagrams (OBDD). It relates the new findings to previous bounds and explores theoretical and practical applications.
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AAAI-10 proceedings refer to the collection of research papers and presentations that were presented at the AAAI Conference on Artificial Intelligence, specifically the 10th edition.
Authors of papers accepted for presentation at the AAAI-10 conference are required to file their proceedings.
Filling out the AAAI-10 proceedings typically involves submitting a formatted paper according to the conference guidelines, which include specifying the title, authors, abstract, keywords, and main content while adhering to specific page limits.
The purpose of AAAI-10 proceedings is to document and disseminate the research presented at the conference, providing a record of advancements in the field of artificial intelligence.
The information reported on AAAI-10 proceedings includes the title of the paper, authors' names, affiliations, abstract, keywords, and the main body of the research content.
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