The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform
Rolf Ernst - One of the best experts on this subject based on the ideXlab platform.
-
design space exploration and System optimization with symta s symbolic timing analysis for Systems
Real-Time Systems Symposium, 2004Co-Authors: Arne Hamann, Marek Jersak, Kai Richter, Rolf ErnstAbstract:The increasing complexity of heterogeneous SoC and distributed Systems confronts the System Designer with problems how to determine reasonable design alternatives leading to well functioning Systems. Ideally, a Designer would try all possible System configuration and choose the best one regarding specific System requirements. Unfortunately, such an approach is not possible because the high number of design parameters in complex Systems leads to a very large design-space, prohibiting an exhaustive search. Consequently, good search techniques are needed to find optimal, or at least good, design alternatives. In this paper, we present a design space exploration framework for System optimization using SymTA/S, a software tool for formal performance analysis. In contrast to many previous approaches, our approach takes the hierarchical structure of the design space of heterogeneous SoC and distributed Systems into account, allowing the Designer to control the exploration process. A main technique in our approach is Systematic System optimization using traffic shaping.
Anca D Dragan - One of the best experts on this subject based on the ideXlab platform.
-
literal or pedagogic human analyzing human model misspecification in objective learning
arXiv: Artificial Intelligence, 2019Co-Authors: Smitha Milli, Anca D DraganAbstract:It is incredibly easy for a System Designer to misspecify the objective for an autonomous System ("robot''), thus motivating the desire to have the robot learn the objective from human behavior instead. Recent work has suggested that people have an interest in the robot performing well, and will thus behave pedagogically, choosing actions that are informative to the robot. In turn, robots benefit from interpreting the behavior by accounting for this pedagogy. In this work, we focus on misspecification: we argue that robots might not know whether people are being pedagogic or literal and that it is important to ask which assumption is safer to make. We cast objective learning into the more general form of a common-payoff game between the robot and human, and prove that in any such game literal interpretation is more robust to misspecification. Experiments with human data support our theoretical results and point to the sensitivity of the pedagogic assumption.
Arne Hamann - One of the best experts on this subject based on the ideXlab platform.
-
design space exploration and System optimization with symta s symbolic timing analysis for Systems
Real-Time Systems Symposium, 2004Co-Authors: Arne Hamann, Marek Jersak, Kai Richter, Rolf ErnstAbstract:The increasing complexity of heterogeneous SoC and distributed Systems confronts the System Designer with problems how to determine reasonable design alternatives leading to well functioning Systems. Ideally, a Designer would try all possible System configuration and choose the best one regarding specific System requirements. Unfortunately, such an approach is not possible because the high number of design parameters in complex Systems leads to a very large design-space, prohibiting an exhaustive search. Consequently, good search techniques are needed to find optimal, or at least good, design alternatives. In this paper, we present a design space exploration framework for System optimization using SymTA/S, a software tool for formal performance analysis. In contrast to many previous approaches, our approach takes the hierarchical structure of the design space of heterogeneous SoC and distributed Systems into account, allowing the Designer to control the exploration process. A main technique in our approach is Systematic System optimization using traffic shaping.
Nicholas John Kings - One of the best experts on this subject based on the ideXlab platform.
-
a semantic service orientated architecture for the telecommunications industry
Lecture Notes in Computer Science, 2004Co-Authors: Alistair Duke, John Davies, Marc Richardson, Nicholas John KingsAbstract:A Service Orientated Architecture will allow organisations to enhance interoperability and encourage reuse of components and interfaces. In this paper, the application of semantic descriptions to services is advocated with the aim of further improving the SOA and enabling scalability. An application of Semantic Web Services for the Telecommunications Industry is described. It shows how services components forming part of a Service Orientated Architecture can be described semantically in terms of shared data and process ontologies. The potential benefits of this approach are explored. A use case is presented that illustrates how the efficiency of a telecommunications System Designer can be improved with the use of Semantic Web Services.
Smitha Milli - One of the best experts on this subject based on the ideXlab platform.
-
literal or pedagogic human analyzing human model misspecification in objective learning
arXiv: Artificial Intelligence, 2019Co-Authors: Smitha Milli, Anca D DraganAbstract:It is incredibly easy for a System Designer to misspecify the objective for an autonomous System ("robot''), thus motivating the desire to have the robot learn the objective from human behavior instead. Recent work has suggested that people have an interest in the robot performing well, and will thus behave pedagogically, choosing actions that are informative to the robot. In turn, robots benefit from interpreting the behavior by accounting for this pedagogy. In this work, we focus on misspecification: we argue that robots might not know whether people are being pedagogic or literal and that it is important to ask which assumption is safer to make. We cast objective learning into the more general form of a common-payoff game between the robot and human, and prove that in any such game literal interpretation is more robust to misspecification. Experiments with human data support our theoretical results and point to the sensitivity of the pedagogic assumption.
