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Study Uses Robotics to Investigate the Development of Infants

By IGI Global on Dec 22, 2010
In a new study, developmental psychologists from the University of Miami, USA, and computer scientists from the University of California in San Diego, USA, teamed up to study the interactions between infants and their mothers and to apply those findings to a baby robot. The beginning of the project involved studying 13 pairs of mothers with their infants and documenting the patterns in their play and interaction, particularly their responses to each other.

These observations and findings were then applied to program a baby robot with basic social skills and the ability to learn more complicated interactions. The baby robot, named Diego-San, was modeled after a one year old child, and was programmed to shift its gaze based on the patterns of how a baby performed those actions. Both the psychologists and the computer scientists have gained insight from this project as the robot baby has learned and developed. ( www.sciencedaily.com/releases/2010/10/101028152510.htm)

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and ApplicationsThis exciting interaction between computer science and cognitive science is just one of many examples of new research involving neuroscience and artificial intelligence. In order to fulfill a need for research in these overlapping areas, IGI Global, an information science and technology publisher, is proud to announce the release of one of its newest titles, Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications, edited by Eduardo Alonso, City University London, UK; and Esther Mondragón, University College London, UK. This reference captures the latest research in this area, providing learning theorists with a mathematically sound framework within which to evaluate their models. The significance of this book lies in its theoretical advances, which are grounded in an understanding of computational and biological learning. The approach taken moves the entire field closer to a watershed moment of learning models, through the interaction of computer science, psychology and neurobiology.


Referencing the revolutionary structure of this book, the editors note that "This book is different from others in that we have not sought the collaboration of computational neuroscientists who dwell in middle ground, that is, of computer scientists who have never set foot in a lab or neuro-scientists who use but barely understand the complexities of computational models. But rather of specialists in neuro-science and computer science who for one reason or another are compelled to crisscross their areas of expertise."

This essential reference will be valuable to a variety of readers interested in neuroscience, computational modeling, artificial intelligence, and more. Everyone from undergraduate psychology students to professional computer scientists will find some value in the research contained in this book. For more information on this title, please visit www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=41884.

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