Hendrik skubch (21 risultati)

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Condizione: New. pp. 280.

Paperback. Condizione: Brand New. 2013 edition. 240 pages. 8.25x5.75x0.75 inches. In Stock.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - As research progresses, it enables multi-robot systems to be used in more and more complex and dynamic scenarios. Hence, the question arises how different modelling and reasoning paradigms can be utilised to describe the intended behaviour of a team and execute it in a robust and adaptive manner. Hendrik Skubch presents a solution, ALICA (A Language for Interactive Cooperative Agents) which combines modelling techniques drawn from different paradigms in an integrative fashion. Hierarchies of finite state machines are used to structure the behaviour of the team such that temporal and causal relationships can be expressed. Utility functions weigh different options against each other and assign agents to different tasks. Finally, non-linear constraint satisfaction and optimisation problems are integrated, allowing for complex cooperative behaviour to be specified in a concise, theoretically well-founded manner.…

Taschenbuch. Condizione: Neu. Hierarchical Strategy Learning for FLUX Agents | An applied technique | Hendrik Skubch | Taschenbuch | 100 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639431483 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Modelling and Controlling of Behaviour for Autonomous Mobile Robots | Hendrik Skubch | Taschenbuch | xvii | Englisch | 2012 | Springer Gabler | EAN 9783658008109 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Softcover. Condizione: gut. 2013. Modelling and Controlling of Behaviour for Autonomous Mobile Robots In deutscher Sprache. pages.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. FLUX is a programming system for reasoning agents based on the fluent calculus. FLUX agents maintain an internal model of their environment, enabling them to represent partial knowledge. This ability gives rise to powerful reasoning techniques such as planning. Conventionally, the strategy such an agents executes in order to achieve a certain goal is static and needs to be defined in advance. Agents which are able to derive a strategy on their own, using experience and domain knowledge, can provide a way to tackle real world problems that change unexpectedly or for which no solution is known in advance. In this work, we focus on learning a strategy able to use the reasoning capabilities offered by systems such as FLUX. We present a technique to decompose a problem into smaller subproblems using heuristics derived from a given domain description. On this basis, subprograms are learnt in different hypothesis spaces, which correspond to different reasoning techniques. With the help of a grammar inducer, an inductive inference machine composes the found subprograms into the final strategy. The application of this work is still restricted to scenarios where a simulator is available. 100 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As research progresses, it enables multi-robot systems to be used in more and more complex and dynamic scenarios. Hence, the question arises how different modelling and reasoning paradigms can be utilised to describe the intended behaviour of a team and execute it in a robust and adaptive manner. Hendrik Skubch presents a solution, ALICA (A Language for Interactive Cooperative Agents) which combines modelling techniques drawn from different paradigms in an integrative fashion. Hierarchies of finite state machines are used to structure the behaviour of the team such that temporal and causal relationships can be expressed. Utility functions weigh different options against each other and assign agents to different tasks. Finally, non-linear constraint satisfaction and optimisation problems are integrated, allowing for complex cooperative behaviour to be specified in a concise, theoretically well-founded manner. 280 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. FLUX is a programming system for reasoning agents based on the fluent calculus. FLUX agents maintain an internal model of their environment, enabling them to represent partial knowledge. This ability gives rise to powerful reasoning techniques such as planning. Conventionally, the strategy such an agents executes in order to achieve a certain goal is static and needs to be defined in advance. Agents which are able to derive a strategy on their own, using experience and domain knowledge, can provide a way to tackle real world problems that change unexpectedly or for which no solution is known in advance. In this work, we focus on learning a strategy able to use the reasoning capabilities offered by systems such as FLUX. We present a technique to decompose a problem into smaller subproblems using heuristics derived from a given domain description. On this basis, subprograms are learnt in different hypothesis spaces, which correspond to different reasoning techniques. With the help of a grammar inducer, an inductive inference machine composes the found subprograms into the final strategy. The application of this work is still restricted to scenarios where a simulator is available.…

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Skubch HendrikDipl. Inf., Studies of Computer Science at the TU Dresden. Currently PhD Student at the University of Kassel in the Distributed Systems Group.Revision with unchanged content. FLUX is a programming system for reasoni.…

Condizione: New. Print on Demand pp. 280 46 Illus. (16 Col.).

Condizione: New. PRINT ON DEMAND.

Condizione: New. PRINT ON DEMAND pp. 280.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Publication in the field of technical sciencesPublication in the field of technical sciencesIncludes supplementary material: sn.pub/extrasTask Allocation.- Distributed Constraint Solving.- Multi-Robot Systems.- Cooperation.- Plan Execu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. FLUX is a programming system for reasoning agents based on the fluent calculus. FLUX agents maintain an internal model of their environment, enabling them to represent partial knowledge. This ability gives rise to powerful reasoning techniques such as planning. Conventionally, the strategy such an agents executes in order to achieve a certain goal is static and needs to be defined in advance. Agents which are able to derive a strategy on their own, using experience and domain knowledge, can provide a way to tackle real world problems that change unexpectedly or for which no solution is known in advance. In this work, we focus on learning a strategy able to use the reasoning capabilities offered by systems such as FLUX. We present a technique to decompose a problem into smaller subproblems using heuristics derived from a given domain description. On this basis, subprograms are learnt in different hypothesis spaces, which correspond to different reasoning techniques. With the help of a grammar inducer, an inductive inference machine composes the found subprograms into the final strategy. The application of this work is still restricted to scenarios where a simulator is available.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As research progresses, it enables multi-robot systems to be used in more and more complex and dynamic scenarios. Hence, the question arises how different modelling and reasoning paradigms can be utilised to describe the intended behaviour of a team and execute it in a robust and adaptive manner. Hendrik Skubch presents a solution, ALICA (A Language for Interactive Cooperative Agents) which combines modelling techniques drawn from different paradigms in an integrative fashion. Hierarchies of finite state machines are used to structure the behaviour of the team such that temporal and causal relationships can be expressed. Utility functions weigh different options against each other and assign agents to different tasks. Finally, non-linear constraint satisfaction and optimisation problems are integrated, allowing for complex cooperative behaviour to be specified in a concise, theoretically well-founded manner.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch.…