Emotions in Humans and Artifacts
Emotions have been much studied and discussed in recent years. Most books, however, treat only one aspect of emotions, such as emotions and the brain, emotions and well-being, or emotions and computer agents. This interdisciplinary book presents recent work on emotions in neuroscience, cognitive science, philosophy, computer science, artificial intelligence, and software and game development. The book discusses the components of human emotion and how they might be incorporated into machines, whether artificial agents should convey emotional responses to human users and how such responses could be made believable, and whether agents should accept and interpret the emotions of users without displaying emotions of their own. It also covers the evolution and brain architecture of emotions, offers vocabularies and classifications for defining emotions, and examines emotions in relation to machines, games, virtual worlds, and music.
About the Editors
Robert Trappl is Professor and Head of the Department of Medical Cybernetics and Artificial Intelligence at the University of Vienna.
Paolo Petta is Head of the Intelligent Software Agents and New Media Research Group at the Austrian Research Institute for Artificial Intelligence.
Sabine Payr is Principal Investigator at the Austrian Research Institute for Artificial Intelligence.
"Emotional machines may seem to be the stuff of fantasy. But mechanisms for understanding and exhibiting emotions may be essential if we are to improve the way that computers and humans interact. This comprehensive collection of essays presents the state of the art on this fascinating and challenging research topic. I recommend it to anyone who wants to understand how and why computers will eventually understand what it feels like to have a bad day at the office."
—Michael Wooldridge, Department of Computer Science, University of Liverpool
"The problem of explaining the functional basis of feeling is undoubtedly the hardest (some think insoluble) problem of cognitive science. Whether they succeed or fail, it is undeniable that the contributors to this volume are facing this problem head-on."
—Stevan Harnad, Research Chair of Canada, and Center for Cognitive Neurosciences, University of Quebec