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Agent-Directed simulation Symposium 2012, ADS 2012, Part of the 2012 Spring simulation multiconference, SpringSim 2012

作者： Özmen, Özgür Yilmaz, Levent M and SNet: Auburn Modeling and Simulation Lab. Samuel Ginn College of Engineering Auburn University United States

ISBN: (纸本)9781618397836

motivation and problem-domain preferences of scientists can affect aggregate level emergence and growth of problem domains in science. In this study, we introduce an agent-based model that is based on information foraging and expectancy theory to examine the impact of rationality and openness on the growth and evolution of scientific domains. We simulate a virtual socio-technical system, in which scientists with different preferences search for problem domains to contribute knowledge, while considering their motivational gains. Problem domains become mature and knowledge spills occur over time to facilitate creation of new problem domains. We conduct experiments to examine emergence and growth of clusters of domains based on local interactions and preferences of scientists and present preliminary qualitative observations.

关键词： Autonomous agents

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Rethinking m&S to enhance creativity and computational discovery

Rethinking M&S to enhance creativity and computational disco...

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Summer Computer simulation Conference 2009, SCSC 2009, Part of the 2009 International Summer simulation multiconference, ISmc

作者： Yilmaz, Levent Oren, Tuncer Computer Science and Software Engineering M and SNet: Auburn Modeling and Simulation Laboratory Auburn University Auburn AL 36849 United States University of Ottawa Ottawa ON Canada

ISBN: (纸本)9781618391810

While m&S has been widely used in engineering and computational sciences to facilitate empirical insight, optimization, and experimentation, the role of simulation in supporting early foresight phases of creative problem solving received less attention. We advocate models of creative cognition to rethink simulation modeling so that creativity is enhanced rather than stifled. Generative Parallax simulation (GPS) is introduced as a strategy and a generic and abstract specification for its realization is presented. GPS is based on an evolving ecology of ensembles of models that aim to cope with ambiguity, which pervades in early phases of model-based science. © 2009 simulation councils, inc.

关键词： Problem solving

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multi-understanding: A basis for switchable understanding for agents

Multi-understanding: A basis for switchable understanding fo...

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Summer Computer simulation Conference 2009, SCSC 2009, Part of the 2009 International Summer simulation multiconference, ISmc

作者： Ören, Tuncer I. Yilmaz, Levent Kazemifard, mohammad Ghasem-Aghaee, Nasser University of Ottawa Ottawa ON Canada Computer Science and Software Engineering Department M and SNel: Auburn Modeling and Simulation Laboratory Auburn University Auburn AL United States Department of Computer Engineering University of Isfahan Isfahan Iran

ISBN: (纸本)9781618391810

machine understanding is an essential and desirable cognitive ability for advanced software agents. In this article, we elaborate on: (1) yet another advanced feature, i.e., multi-understanding that is more than one understanding of an entity and (2) switchable understanding that is selecting one or more of the alternative understandings resulting in a multi-understanding. The rationale for the need and characteristics of multi-understanding as well as switchable understanding are clarified. This article is a background article;hence only the bases are covered. © 2009 simulation councils, inc.

关键词： Software agents

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Exploring the impact of employee turnover on the effectiveness of software development team archetypes

Exploring the impact of employee turnover on the effectivene...

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2007 Agent Directed simulation Symposium, ADS 2007

作者： Yilmaz, Levent M and SNet: Auburn Modeling and Simulation Laboratory Computer Science and Software Engineering Auburn University AuburnAL United States

ISBN: (纸本)1565553136

This paper presents an agent-based simulation study that explores the effects of team behavior on the efficiency and effectiveness of software development organizations that pursue incremental and iterative processes. The conceptual model underlying the simulation framework is based on the fundamental tenets of organization theory. The organization-theoretic perspective to simulation modeling of software processes entails characterizing the components of organizational design, as well as types of team cooperation mechanisms that are associated with selected team archetypes. We present the simulation framework Team-RUP and use it to examine the extent of the impact of turbulence (i.e., employee turnover) on the effectiveness of software development under various team archetypes. We observe that asynchronous team cooperation models are less predictable than synchronous models. Also, teams that utilize bottom-up coordination strategies are more adept at responding to change.

关键词： Software agents

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An ontology-based dictionary of understanding as a basis for software agents with understanding abilities

An ontology-based dictionary of understanding as a basis for...

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2007 Agent Directed simulation Symposium, ADS 2007

作者： Ören, Tuncer I. Ghassem-Aghaee, Nasser Yilmaz, Levent M and SNet Ottawa Center of the MISS SITE University of Ottawa OttawaON Canada Beykent University Istanbul Turkey Department of Computer Engineering University of Isfahan Isfahan Iran M and SNet: Auburn Modeling and Simulation Laboratory Computer Science and Software Engineering Auburn University AuburnAL United States

Nearly 60 types of machine understanding is presented in an ontology-based dictionary as a basis for the development of software agents with understanding abilities. Then a framework for software agents is presented.

ISBN: (纸本)1565553136

关键词： Software agents

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Validation and verification of social processes within agent-based computational organization models

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Computational and mathematical Organization Theory 2006年第4期12卷 283-312页

作者： Yilmaz, Levent The Auburn Modeling and Simulation Laboratory of the M/SNet Computer Science/Engineering Auburn University Auburn AL United States

The use of simulation modeling in computational analysis of organizations is becoming a prominent approach in social science research. However, relying on simulations to gain intuition about social phenomena has significant implications. While simulations may give rise to interesting macro-level phenomena, and sometimes even mimic empirical data, the underlying micro and macro level processes may be far from realistic. Yet, this realism may be important to infer results that are relevant to existing theories of social systems and to policy making. Therefore, it is important to assess not only predictive capability but also explanation accuracy of formal models in terms of the degree of realism reflected by the embedded processes. This paper presents a process-centric perspective for the validation and verification (V&V) of agent-based computational organization models. Following an overview of the role of V&V within the life cycle of a simulation study, emergent issues in agent-based organization model V&V are outlined. The notion of social contract that facilitates capturing micro level processes among agents is introduced to enable reasoning about the integrity and consistency of agent-based organization designs. Social contracts are shown to enable modular compositional verification of interaction dynamics among peer agents. Two types of consistency are introduced: horizontal and vertical consistency. It is argued that such local consistency analysis is necessary, but insufficient to validate emergent macro processes within multi-agent organizations. As such, new formal validation metrics are introduced to substantiate the operational validity of emergent macro-level behavior. © Springer Science + Business media, LLC 2006.

关键词： Life cycle

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On the Need for Contextualized Introspective models to Improve Reuse and Composability of Defense simulations

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The Journal of Defense modeling and simulation: Applications, methodology, Technology 2004年第3期1卷 141-151页

作者： Yilmaz, Levent Auburn Modeling & Simulation Laboratory M&SNet Department of Computer Science and Software Engineering College of Engineering Auburn University Auburn AL 36849 United States

model reuse is a longstanding challenge within the defense simulation modeling community. While other disciplines successfully apply component-based approach to build systems, this approach has proven difficult to apply in simulation model development. The significance of employing explicit and distinct experimental frames to support reuse is already well recognized. Yet, characterization of the original context of a model is one of the least appreciated aspects and central to reuse and composability. methods and tools are needed to provide mechanisms for structured representation and storage of context information, effective ways for retrieving it, and the possibility to relate it to the developer's intention. To this end, the basic model-simulator-experimental frame viewpoint is revisited to assert the role of context in reuse. The significance of separating concept, content, context, and simulator is discussed under the discrete-event system specification (DEVS) framework to provide a basis and rationale for contextualized simulation models. An abstract design strategy is presented to facilitate packaging and distribution of concept and context specification objects along with simulation models to improve reuse and composability. © 2004, The Society for modeling and simulation International. All rights reserved.

关键词： component-based Composability conceptual modeling context reuse

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