By Dayong Ye, Minjie Zhang, Danny Sutanto (auth.), Quan Bai, Naoki Fukuta (eds.)
Multi-Agent process (MAS) is an exhilarating, rising paradigm anticipated to play a key function in lots of society-changing practices. The foreign convention on rules and perform of Multi-Agent structures (PRIMA) is a number one medical convention for examine on clever agent platforms and multi-agent platforms, attracting top of the range, state of the art learn from around the world. PRIMA’09 was once the twelfth within the sequence of PRIMA meetings and used to be held in Nagoya, Japan. Beside a single-track major convention, PRIMA’09 additionally incorporated a couple of workshops which have been designed to supply a discussion board for researchers and practitioners to offer and alternate the newest advancements on the MAS frontier. This booklet constitutes the post-proceedings of workshops less than PRIMA’09. Readers may be in a position to discover a various diversity of subject matters and distinctive discussions relating to a few very important topics in our ever altering global. This assortment performs an immense position in bridging the distance among MAS idea and perform. It emphasizes the significance of MAS within the study and improvement of clever strength grid platforms, determination help platforms, optimization and research platforms for street site visitors and markets, environmental tracking and simulation, and in lots of different real-world purposes and proclaims and extends MAS know-how to many domain names during this fast paced info age.
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When a user inputs a schedule with its title and details, the related words are extracted from them using the algorithm. The algorithm needs a set of keywords and a text, the former is extracted from the title of the schedule and the latter is just the details of the schedule. This system succeeded in presenting documents which ﬁt the user’s demand at higher rank in the retrieved results. The diﬀerence between the algorithm and the one we discuss here is that the former pays attention to the distance between words, whereas the latter to the distance between sentences.
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Based on the textual distance from a keyword in K, we evaluate each word in T , and output the words ranked according to the evaluation. Importance of the distance between sentences We regard the distance between sentences as important when considering relevance of words. Moreover we pay attention to the order of the sentences that contain some speciﬁc word (for example, the query word used for Web retrieval, the word in the title of schedule, and so on) appearing in a document. ” Preparations We deﬁne some symbols as follows: • K: a set of keywords that give a basis for extracting related words.