2006
DOI: 10.1007/11872283_5
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Modeling and Simulation of Tests for Agents

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Cited by 4 publications
(2 citation statements)
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“…Simulation-based testing of software agents makes abstraction explicit including data abstraction, temporal abstraction, communication abstraction, and functional abstraction (Röhl and Uhrmacher, 2005). This simulation-based testing can be applied to the evaluation of a deliberative agent in its virtual environment, for example, in (Gierke et al, 2006) for evaluating the Autominder (Pollack, 2006) software (Figure 3.6), and for evaluating communities of reactive agents, for example, different user models and protocols in mobile ad hoc networks . In this type of testing, the representation of humans plays an important role.…”
Section: Simulation-based Testing In Systems Engineeringmentioning
confidence: 99%
“…Simulation-based testing of software agents makes abstraction explicit including data abstraction, temporal abstraction, communication abstraction, and functional abstraction (Röhl and Uhrmacher, 2005). This simulation-based testing can be applied to the evaluation of a deliberative agent in its virtual environment, for example, in (Gierke et al, 2006) for evaluating the Autominder (Pollack, 2006) software (Figure 3.6), and for evaluating communities of reactive agents, for example, different user models and protocols in mobile ad hoc networks . In this type of testing, the representation of humans plays an important role.…”
Section: Simulation-based Testing In Systems Engineeringmentioning
confidence: 99%
“…To model and simulate interacting agents in their environment, both, a modular construction of models via building blocks and globally accessible information and global constraints appear equally important. For instance, building blocks foster the reuse of models and ease the adaption to test scenarios, e.g., by exchanging different human behavior models (Gierke et al 2006). Whereas the ability to access information globally and define global constraints facilitates the consideration of physical and spatial constraints of interactions (Helleboogh et al 2007).…”
Section: Introductionmentioning
confidence: 99%