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Spatial Information Theory - 8th International Conference, COSIT 2007, Melbourne, Australia, September 19-23, 2007, Proceedings... Spatial Information Theory - 8th International Conference, COSIT 2007, Melbourne, Australia, September 19-23, 2007, Proceedings (Paperback, 2007 ed.)
Stephan Winter, Matt Duckham, Lars Kulik, Ben Kuipers
R1,457 Discovery Miles 14 570 Ships in 18 - 22 working days

This book constitutes the refereed proceedings of the 9th International Conference on Spatial Information Theory, COSIT 2007, held in Melbourne, Australia, in September 2007.

The 27 revised full papers presented were carefully reviewed and selected from 102 submissions. The papers are organized in topical sections on cultural studies, semantics, similarity, mapping and representation, perception and cognition, reasoning and algorithms, navigation and landmarks, as well as uncertainty and imperfection.

Learning for Success - How Team Learning Behaviors Can Help Project Teams to Increase the Performance of Their Projects... Learning for Success - How Team Learning Behaviors Can Help Project Teams to Increase the Performance of Their Projects (Paperback)
Chantal Savelsbergh, Peter Storm, Ben Kuipers
R867 Discovery Miles 8 670 Ships in 9 - 17 working days

In Learning For Success, authors Peter Storm, Chantal Savelsbergh and Ben Kuipers contend that most projects have two different but complementary aims: to perform and to learn. Learning helps the performance of the current project and of future projects. It works in the reverse also: good performance stimulates the desire to become even better, which leads to discovering how to do it. In other words, good performance drives the desire to learn. How well do these principles bear out in practice? This book, subtitled How Team Learning Behaviors Can Help Project Teams to Increase the Performance of Their Projects, presents research on whether team performance and team learning are positively related. Simple laboratory experiments have shown this to be the case, but the authors test to see whether or not the same holds true on real-world projects, which are more complex, longer and more difficult.

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