Details

Reasoning Robots


Reasoning Robots

The Art and Science of Programming Robotic Agents
Applied Logic Series, Band 33

von: Michael Thielscher

53,49 €

Verlag: Springer
Format: PDF
Veröffentl.: 15.12.2005
ISBN/EAN: 9781402030697
Sprache: englisch
Anzahl Seiten: 328

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

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.
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.
Special Fluent Calculus.- Special FLUX.- General Fluent Calculus.- General FLUX.- Knowledge Programming.- Planning.- Nondeterminism.- Imprecision*.- Indirect Effects: Ramification Problem*.- Troubleshooting: Qualification Problem.- Robotics.
<P>The book provides an in-depth and uniform treatment of a mathematical</P>
<P>model for reasoning robotic agents. The book also contains an introduction</P>
<P>to a programming method and system based on this model.</P>
<P></P>
<P>The mathematical model, known as the "Fluent Calculus,'' describes how</P>
<P>to use classical first-order logic to set up symbolic models of dynamic</P>
<P>worlds and to represent knowledge of actions and their effects. Robotic</P>
<P>agents use this knowledge and their reasoning facilities to make decisions</P>
<P>when following high-level, long-term strategies. The book covers</P>
<P>the issues of reasoning about sensor input, acting under incomplete</P>
<P>knowledge and uncertainty, planning, intelligent troubleshooting, and many</P>
<P>other topics.</P>
<P></P>
<P>The mathematical model is supplemented by a programming method which</P>
<P>allows readers to design their own reasoning robotic agents. The usage of</P>
<P>this method, called "FLUX,'' is illustrated by many example programs. The</P>
<P>book includes the details of an implementation of FLUX using the standard</P>
<P>programming language PROLOG, which allows readers to re-implement or</P>
<P>to modify and extend the generic system.</P>
<P></P>
<P>The design of autonomous agents, including robots, is one of the most</P>
<P>exciting and challenging goals of Artificial Intelligence. Reasoning robotic</P>
<P>agents constitute a link between knowledge representation and reasoning on</P>
<P>the one hand, and agent programming and robot control on the other. The</P>
<P>book provides a uniform mathematical model for the problem-driven,</P>
<P>top-down design of rational agents, which use reasoning for decision</P>
<P>making, planning, and troubleshooting. The implementation of the</P>
<P>mathematical model by a general PROLOG program allows readers to</P>
<P>practice the design of reasoning robotic agents. Since all implementation</P>
<P>details are given, the generic system can be easily modified and extended.</P>

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