Browsing by Author "Zhang, Lingling"
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Item The International Children's Digital Library: Description and Analysis of First Use(2003-01-21) Druin, Allison; Bederson, Benjamin B.; Weeks, Ann; Farber, Allison; Grosjean, Jesse; Guha, Mona Leigh; Hourcade, Juan Pablo; Lee, Juhyun; Liao, Sabrina; Reuter, Kara; Rose, Anne; Takayama, Yoshifumi; Zhang, LinglingIn this paper we describe the first version of the International Children's Digital Library (ICDL). As a five-year research project, its mission is to enable children to access and read an international collection of children's books through the development of new interface technologies. This paper will describe the need for such research, our work in the context of other digital libraries for children, and an initial analysis of the first seven weeks of the ICDL's public use on the web. Categories and Subject Descriptors H.3.7 [Information Storage and Retrieval]: Digital Libraries - Dissemination, User Issues; H.5.2 [Information Interfaces and Presentation]: User Interfaces - Graphical User Interfaces (UMIACS-TR-2003-04) (HCIL-TR-2003-02)Item Planning in a Multi-Agent Environment: Theory and Practice(2002-02-19) Dix, Juergen; Munoz-Avila, Hector; Nau, Dana S.; Zhang, LinglingWe give the theoretical foundations and empirical evaluation of a planning agent, SHOP, performing \htn planning in a multi-agent environment. SHOP is based on \ashop, an agentized version of the original SHOP \htn planning algorithm, and is integrated in the IMPACT multi-agent environment. We ran several experiments involving accessing various distributed, heterogeneous information sources, based on simplified versions of noncombatant evacuation operations, NEO's. As a result, we noticed that in such realistic settings the time spent on communication (including network time) is orders of magnitude higher than the actual inference process. This has important consequences for optimizations of such planners. Our main results are: (1) using NEO's as new, more realistic benchmarks for planners acting in an agent environment, and (2) a memoization mechanism implemented on top of SHOP, which improves the overall performance a lot. (Also UMIACS-TR-2002-13)