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Rule-based Evolutionary Online Learning Systems

RRP $24.95

Rule-basedevolutionaryonlinelearningsystems, oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several initial successful applications of LCSs and their interesting relations with a- mal learning and cognition, understanding of the systems remained somewhat obscured. Questions concerning learning complexity or convergence remained unanswered. Performance in di?erent problem types, problem structures, c- ceptspaces, andhypothesisspacesstayednearlyunpredictable. Thisbookhas the following three major objectives: (1) to establish a facetwise theory - proachforLCSsthatpromotessystemanalysis, understanding, anddesign;(2) to analyze, evaluate, and enhance the XCS classi?er system (Wilson, 1995) by the means of the facetwise approach establishing a fundamental XCS learning theory; (3) to identify both the major advantages of an LCS-based learning approach as well as the most promising potential application areas. Achieving these three objectives leads to a rigorous understanding of LCS functioning that enables the successful application of LCSs to diverse problem types and problem domains. The quantitative analysis of XCS shows that the inter- tive, evolutionary-based online learning mechanism works machine learning competitively yielding a low-order polynomial learning complexity. Moreover, the facetwise analysis approach facilitates the successful design of more - vanced LCSs including Holland s originally envisioned cognitive systems. Martin V

Online Dating As A Strategic Game

RRP $354.99

Based on a study using online ethnography as the major research method, this book explains why and how men in Hong Kong use QQ-an online instant messenger-to "chase" women in mainland China, especially in the neighboring city of Shenzhen. Chasing women through QQ is a reciprocal exchange process during which the resources to be exchanged in the interaction are not negotiated. Rather, the men provide resources to the women, hoping for rewards in return that are not guaranteed. This characteristic of the exchange makes men who chase women through QQ very strategic in their action. They try to maximize the rewards and minimize the costs by adopting myriad strategies, such as constructing an attractive online identity by strategic self-presentation. The role of emotions in the exchange process is also examined. Men learn the emotional norms through the online forum, but sometimes it is difficult for them to control their emotions; some men fall in love when they are not supposed to. As it happens, they have failed to calculate the costs and rewards rationally in that they may provide too many resources to the women without getting enough rewards in return.

This book provides original insights into the thought processes, motivations, desires, anxieties and risks of Hong Kong men seeking short-term sexual relations with women on the mainland. These insights are highly relevant to our understanding of the quickly evolving use of social media, a phenomenon of worldwide importance and deep implications.

Gcse Maths Workbook With Answers And Online Edition - Foundation (a*-g Resits)

RRP $15.99

This Workbook (including answers and a free Online Edition) contains a huge range of practice questions for Foundation Level GCSE Maths - it's ideal for building up the vital skills throughout the course. Complete answers are at the back of the book, so it's easy to check your progress. A free digital Online Edition is also included, accessed using the unique code printed in the book. Study notes for every topic are available in the matching CGP Revision Guide (9781841465371).



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Affiliate Announcement Press Release Segmentation


Marketing Advertising SEO Online
Affiliate Announcement Press Release Segmentation