As science continues to advance, researchers are continually gaining new insights into the way living beings behave and function, and into the composition of the smallest molecules. Most of these biological processes have been imitated by many scientific disciplines with the purpose of trying to solve different problems, one of which is artificial intelligence.

Advancing Artificial Intelligence through Biological Process Applications presents recent advances in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, this book will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial cell systems
Artificial concept learning
Artificial Intelligence Models
Artificial mind
Artificial Neural Networks
Autonomous Systems
Behavioural coordination
Biological processes
Biomolecular computing
Computing versus genetics
Connection systems
Cooperative mobile agents
Evolutionary Algorithms
Evolutionary robotics
Fuzzy decision trees
Genetic Algorithms
Information Processing
Multimodal search
Neural mechanisms
Parallel Processing
Self-organizing computer networks
Spiking neural p systems
Virtual character

Reviews & Statements

This book shows recent research works of great quality about information processing. It presents biological processes, some of them recently discovered, which show the treatment of different life processes at distinct levels (molecular, neural, social, etc.) that can be applied to Artificial Intelligence. It also presents the benefits of the new techniques created from these processes, not only to Artificial Intelligence, but also to multiple scientific areas: computer-science, biology, civil engineering, etc.

– Ana B. Porto Pazos, Coruna University, Spain

This is an advanced reckoning of information processing in artifical intelligence models that gives promise to future applications. Readers well versed in this area will find the articles stimulating. Weighted Numerical Score:87 - 3 Stars.

– Doody Enterprises (2008)

This text is suitable for students and researchers in bioformatics and other related fields.

– Book News Inc. (December 2008)

Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, this book will be a valued addition ot libraries in neuroscience, molecular biology, and behavioral science spheres.

– APADE (2008)

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Editor/Author Biographies

Ana B. Porto Pazos is an associate professor in the Department of Information Technologies and Communications at University of A Coruña (Spain). She is currently coordinator of the Master in Computer Science at University of A Coruña. She received the MS and PhD degrees in Computer Science from the University of A Coruña (Spain) in 1999 and 2004 respectively. She has worked with several research groups such as: “Artificial Neural Networks” in Computer Science Faculty of the University Politécnica de Madrid (Spain) and “Cellular Electrophysiology” in Cajal Institute of the “Consejo Superior de Investigaciones Científicas (CSIC)” in Madrid. She has published more than 20 papers and book chapters about artificial neural networks, brain computer modelling, evolutionary computation, telemedicine, etc.

Alejandro Pazos Sierra is a professor at University of A Coruña (Spain). He is currently the director of the Department of Information Technologies and Communications at University of A Coruña. He received the MS degree in Medicine from University of Santiago de Compostela in 1987. He received the PhD degree in computer science from University Politécnica de Madrid (Spain) in 1989 and the PhD degree in medicine from University Complutense de Madrid (Spain) in 1996. He has worked with several research groups such as: “Visualization and Usability Laboratory College of Computing” in Georgia Institute of Technology, “Decision Systems Group” at Harvard Medical School, “Section on Medical Informatics” at Stanford University, “Artificial Neural Networks Laboratory” at Computer Science Faculty of the University Politécnica de Madrid (Spain), etc. He found and is currently the director of “Artificial Neural Networks and Adaptive Systems Laboratory” in the Faculty of Computer Science at A Coruña University. His current research interests include artificial neural network, medical image, evolutionary computation, adaptive systems, control medical systems and telemedicine. Dr. Pazos is author of more than 40 published papers and is a member of the IEEE and several honour societies, including ACM, International Neural Network Society, American Association for the Advancement of Science, Internet Society, etc.

Washington Buño Buceta is a research Professor at Cajal Institute (CSIC) (Madrid, Spain). He found and is currently the leader of the Cellular Electrophysiology Group (Department of Functional and Systems Neurobiology, Cajal Institute). He received the MS degree in medicine from Universidad Autónoma of Madrid in 1975. He received the PhD degree in medicine from Universidad de la República (Montevideo, Uruguay) in 1964 and the Ph.D. degree in medicine from Universidad Autónoma of Madrid in 1982. His research interests cover neural plasticity, cellular electrophysiology, etc. He has more than 50 published papers, more than 20 research projects and has worked with several prestigious research groups such as: “Laboratoire de Neurosciences Fonctionnelles” Unité de Sensori-Motricité Comparée et Comportements - Centre National de la Recherche Scientific, Marsella (France), Dept. of Zoology and Genetics, Iowa State University (Ames, Iowa), “Unidad de Neurofisiología del Instituto de Investigaciones Biológicas Clemente Estable" Faculty of Medicine (Montevideo, Uruguay), etc. He is a reviewer in journals such as Brain Research, Epilepsia, Hippocampus, Journal of Neuroscience, etc. and is a member of honour societies, including International Brain Research Organization (IBRO), Society for Neuroscience (USA), Academia de Ciencias de Latinoamérica, founder member of Sociedad Uruguaya de Electroencefalografía y Neurofisiología Clínica and Sociedad Española de Neurociencias, etc.

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