This book constitutes the refereed proceedings of the First Australian Workshop on Distributed Artificial Intelligence, held in Canberra, ACT, Australia, in November 1995. The 16 full papers included in the book are revised versions of the contributions accepted for presentation at the workshop; they cover a wide range of current issues in the field of DAI, such as formal frameworks, methodology, theory, and architecture; various aspects of agents and multi-agent systems are addressed.
The book explores the intriguing world of mathematics through the lens of multiplication, specifically focusing on the equation 65 x 39 = 2535. It delves into the significance of numbers, the process of multiplication, and how such calculations can reveal patterns and relationships within mathematics. The narrative aims to engage readers in understanding the beauty and logic behind mathematical operations, making it accessible and enjoyable for those curious about numbers and their applications.
The book addresses the pressing challenge of efficiently mining distributed data across multiple databases, particularly in the context of the overwhelming information available on the Web. It introduces local pattern analysis, a novel approach designed to uncover valuable patterns that traditional methods may overlook. The authors discuss advancements in multi-database mining, including hierarchical meta-learning and database classification, making it a vital resource for researchers and students in data mining and machine learning, as well as a useful supplement for related courses.
The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is a biennial international event which focuses on Artificial Intelligence (AI) theories and technologies, and their applications which are of social and economic importance for countries in the Pacific Rim region. Seven earlier conferences were held in: Nagoya, Japan (1990); Seoul, Korea (1992); Beijing, China (1994); Cairns, Australia (1996); Singapore (1998); Melbourne, Australia (2000); and Tokyo, Japan (2002). PRICAI 2004 was the eigth in the series and was held in Auckland, New Zealand in August 2004. PRICAI 2004 had attracted a historical record number of submissions, a total of 356 papers. After careful reviews by at least two international Program Committee members or referees, 94 papers were accepted as full papers (27%) and 54 papers (15%) were accepted as posters. Authors of accepted papers came from 27 countries. This volume of the proceedings contains all the 94 full papers but only a 2-page - tended abstract of each of the accepted posters. The full papers were categorized into four sections, namely: AI foundations, computational intelligence, AI technologies and systems, and AI specific application areas. Among the papers submitted, we found “Agent Technology” to be the area having the most papers submitted. This was followed by “Evolutionary Computing”, “Computational Learning”, and “Image Processing”.
PRIMA 2000 was the third in the series of Paci c Rim International Workshops on Multi-Agents. It was held on August 28-29, 2000, in Melbourne, Australia in conjunction with the Paci c Rim International Conference on Arti cial Intel- gence 2000. PRIMA is the main forum for the agent or multi-agent researchers in paci c rim countries to exchange and discuss their research results. This volume contains selected papers from PRIMA 2000. It covers theory, design, and applications of intelligent agents. The speci c aspects include co- dination, negotiation, learning, architecture, speci cation, allocation, and app- cation of intelligent agents. All papers are of high quality because each of them was reviewed and recommended by at least two international renowned program committee members. Many people contributed to this volume. We would like to thank all the a- hors who submitted papers to the workshop. Many thanks also to the members of the program committee who diligently reviewed all the papers. Finally, we thank the editorial sta of Springer-Verlag for publishing this volume in the Lecture Notes in Arti cial Intelligence series.
Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R& D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.
This book constitutes the strictly refereed post-workshop proceedings originating from the Second Australian Workshop on Distributed Artificial Intelligence, held in Cairns, QLD, Australia, in August 1996, as a satellite meeting of PRICAI'96. The 13 revised full papers presented have been selected for inclusion in the book during a very careful and iterated process of reviewing and improvement. Among these papers are three invited ones, by leading scientists, solicited in order to round off the overall presentation and coverage of relevant topics. A wide range of multi-agent systems issues is covered including methodologies, cooperation, conflict resolution, applications, mobility, adaptation, negotiation, and implementations.
