Reasoning Robots by Michael Thielscher
The creation of intelligent robots is surely one of the most exciting and ch- lenginggoals of Arti?cial Intelligence. A robot is, ?rst of all, nothing but an inanimate machine with motors and sensors. In order to bring life to it, the machine needs to be programmed so as to make active use of its hardware c- ponents. This turns a machine into an autonomous robot. Since about the mid nineties of the past century, robot programming has made impressive progress. State-of-the-art robots are able to orient themselves and move around freely in indoor environments or negotiate di?cult outdoor terrains, they can use stereo vision to recognize objects, and they are capable of simple object manipulation with the help of arti?cial extremities. At a time where robots perform these tasks more and more reliably,weare ready to pursue the next big step, which is to turn autonomous machines into reasoning robots.Areasoning robot exhibits higher cognitive capabilities like following complex and long-term strategies, making rational decisions on a high level, drawing logical conclusions from sensor information acquired over time, devising suitable plans, and reacting sensibly in unexpected situations. All of these capabilities are characteristics of human-like intelligence and ultimately distinguish truly intelligent robots from mere autonomous machines.-
Logic, Language and Computation
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Labelled Deduction
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Multi-Dimensional Modal Logic
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Frontiers of Combining Systems
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Thirty Five Years of Automating Mathematics
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Foundations of Bayesianism
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Rigid Flexibility
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A Modern Perspective on Type Theory
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Hybrid Logic and its Proof-Theory
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Proof Theory for Fuzzy Logics
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Foundations of Rational Agency
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Goal-Directed Proof Theory
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A Textbook of Belief Dynamics
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New Essays in Free Logic
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The Semantics and Proof Theory of the Logic of Bunched Implications
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Proof Theory of Modal Logic
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Frontiers in Belief Revision
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Advances in Intensional Logic
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Inference on the Low Level
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Fuzzy Sets, Logics and Reasoning about Knowledge
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Automated Model Building
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The Death of Argument
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Dynamic Worlds
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Automated Deduction - A Basis for Applications Volume I Foundations - Calculi and Methods Volume II Systems and Implementation Techniques Volume III Applications
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An Introduction to Mathematical Logic and Type Theory
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Advances in Temporal Logic
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What is Negation?
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Abduction and Induction
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Intellectics and Computational Logic
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Formal Aspects of Context
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Logical and Computational Aspects of Model-Based Reasoning
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Analysis and Synthesis of Logics
From the reviews:
"This book presents the ‘fluent calculus’ as one possible approach to solve the frame problem in artificial intelligence… The book is very understandable and recommendable for anybody who wants to solve AI problems by means of predicate logics and logic programming. It shows that this approach is more and more applicable to the solution of real-world problems. It will be an excellent textbook for appropriate AI or robotics courses and very appropriate for graduate students." (Christian Posthoff, Zentralblatt MATH, Vol. 1092 (18), 2006)
| SKU | Unavailable |
| ISBN 13 | 9789048167838 |
| ISBN 10 | 9048167833 |
| Title | Reasoning Robots |
| Author | Michael Thielscher |
| Series | Applied Logic Series |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2010-10-22 |
| Number of pages | 328 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |