Using artificial intelligence and robustness as a unifying theme, this book comments on the fundamental strategies found in nature (such as redundancy, granularity, adaptation, repair, self-healing, etc.), and how an understanding of these can be used to further research into general design principles for artificial intelligence in the context of a diverse range of modern research areas and systems (including pervasive computing, autonomic computing, ambient intelligence, bioinformatics and others). Contributions from experts in the field provide an invaluable insight into a variety of cutting-edge research areas using artificial intelligence and robustness as the central theme. Practitioners in various fields will gain an insight into the important role robustness plays in natural and artificial systems in general, and in artificial intelligence in particular.

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