Andere Kunden interessierten sich auch für
![Beyond Artificial Intelligence]( "Beyond Artificial Intelligence")
Beyond Artificial Intelligence74,99 €![Computing Nature]( "Computing Nature")
Computing Nature74,99 €![Modelling and Control for Intelligent Industrial Systems]( "Modelling and Control for Intelligent Industrial Systems")
Modelling and Control for Intelligent Industrial Systems125,99 €![Efficient Topology Estimation for Large Scale Optical Mapping]( "Efficient Topology Estimation for Large Scale Optical Mapping")
Efficient Topology Estimation for Large Scale Optical Mapping74,99 €![Evolutionary Swarm Robotics]( "Evolutionary Swarm Robotics")
Evolutionary Swarm Robotics110,99 €![Evolutionary Swarm Robotics]( "Evolutionary Swarm Robotics")
Evolutionary Swarm Robotics125,99 €![The CAPTCHA: Perspectives and Challenges]( "The CAPTCHA: Perspectives and Challenges")
The CAPTCHA: Perspectives and Challenges74,99 €
Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science.
We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.
We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.
From the reviews: "This book comprises a very broad and interesting collection of extended versions of papers from the 2011 conference on Philosophy and Theory of Artificial Intelligence. ... this book would be a valuable reference for researchers not only from AI and philosophy, but also those working in the vast number of disciplines that influence their development. The philosophical nature of the discussions should appeal to anyone interested in the big picture of where the discipline is headed." (Gerardo Simari, ACM Computing Reviews, December, 2012)