Adaption and learning in multi-agent systems
International Joint Conference on Artificial Intelligence (14th 1995 Montréal, Québec)
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at 250 WPM3h 58m
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Adaption and learning in multi-agent systems
by International Joint Conference on Artificial Intelligence (14th 1995 Montréal, Québec)
Published
June 1996
Publisher
Springer
Pages
238
ISBN-13
9783540609230
ISBN-10
3540609237
Description
"This book is based on the workshop on Adaptation and Learning in Multi-Agent Systems, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. The 14 thoroughly reviewed revised papers reflect the whole scope of current aspects in the field: they describe and analyze, both experimentally and theoretically, new learning and adaption approaches for situations in which several agents have to cooperate or compete. Also included, and aimed at the novice reader, are a comprehensive introductory survey on the area with 154 references listed and a subject index. As the first book solely devoted to this area, this volume documents the state of the art and is thus indispensable for anyone active or interested in the field."--PUBLISHER'S WEBSITE.
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Frequently Asked Questions
How many pages are in Adaption and learning in multi-agent systems?
This edition of Adaption and learning in multi-agent systems has approximately 238 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Adaption and learning in multi-agent systems?
For most readers, Adaption and learning in multi-agent systems typically takes between 4h 58m and 3h 18m to complete. This is based on the book's length of approximately 59,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 58m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 8 days • Estimated word count: 59,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Adaption and learning in multi-agent systems?
The estimated word count for Adaption and learning in multi-agent systems is approximately 59,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Adaption and learning in multi-agent systems?
Adaption and learning in multi-agent systems was written by International Joint Conference on Artificial Intelligence (14th 1995 Montréal, Québec).
When was Adaption and learning in multi-agent systems published?
The publication date for this specific edition is June 1996. The original work may have been published on a different date.