A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support

Yılmaz, Levent; Tolk, Andreas

doi:10.1007/978-3-540-76829-6_8

Cited by 7 publications

(5 citation statements)

References 13 publications

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“…It has been observed that this consistency constraint is valid for all kinds of compositions: multi-models, multi-aspect models, and multi-stage models. Yilmaz and Tolk (2008) provide first insights on how to apply these insights in the domain of ADS.…”

Section: Challenges To Address When Composing Model-based Solutionsmentioning

confidence: 99%

Using a formal approach to simulation interoperability to specify languages for ambassador agents

Tolk¹,

Diallo²

2010

Proceedings of the 2010 Winter Simulation Conference

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Ambassador agents represent simulation services that are candidates to contribute to the solution of a problem. They need to know and express enough about the simulations to negotiate with other ambassador agents if the represented simulation systems can be composed to contribute to the solution. A formal approach to simulation interoperability based on set theory and date modeling theory was developed. The formal model of data in M&S capturing possible representations of real or imagined things in the world including definitions for existential and transformational dependencies is presented. Existential dependencies capture the relationships within a model while transformational dependencies capture the relationships between interactions with a model. These definitions are used to formally specify interoperation, the ability to exchange information, as a necessary condition for interoperability. The elements needed for a language needed for ambassador agents are derived using the formal approach to interoperability. INTRODUCTIONThis paper is composing three research domains supported by the authors and merges them into a common application, namely a theory, an engineering method, and the use of agents.• The topic of composability of models and interoperability of simulations resulted in the development of the Levels of Conceptual Interoperability Model (LCIM), which was first introduced in (Tolk and Muguira 2003) and has been continuously evolved using feedback from other experts in various application domains to its current form, as described in ). • Using the theoretic insights from this model, the engineering method Model-based Data Engineering (MBDE) was developed to support heuristics that can be applied by systems engineers and federation developers to achieve the goal of composing model-based solutions (Tolk and Diallo 2005). • By developing a formal approach to simulation interoperability and capturing the formalism using mathematically precise terms, the development of profiles is supported that now allows the application of Agent-Directed Simulation (ADS) to support the composition. Using the meta-data of the profile, agents become ambassadors for the model-based solution and can negotiate their composition with other solutions in support of a research question.This paper uses many of the groundbreaking ideas on agent-based mediated solutions that so far were missing a common component of a formal approach to interoperability. This component should allow the profiling of a model-based solution, the measurement of the semantic distance between alternatives as well as the measurement of the distance between required capability and provided functionality, and a 359 978-1-4244-9865-9/10/$26.00 ©2010 IEEE

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Section: Challenges To Address When Composing Model-based Solutionsmentioning

confidence: 99%

Using a formal approach to simulation interoperability to specify languages for ambassador agents

Tolk¹,

Diallo²

2010

Proceedings of the 2010 Winter Simulation Conference

Self Cite

View full text Add to dashboard Cite

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“…6 In general, decision making is “a process of choosing among alternative course of actions for the purpose of attaining a goal or goals.” 7 In the classical sense, “decision-making is viewed as a process that entails two distinct activities. The first one is to decide what state of affairs is desired and second one how this state will be achieved.” 8…”

Section: Overview Of Strategies For Decision Makingmentioning

confidence: 99%

“…11 A number of judgmental heuristics such as representativeness and availability, and cognitive biases to which those heuristics lead are described 12 in order to bring classical and analytical decision theorists into conformity with the findings in cognitive psychology, which humans employ to make decisions. 8 Experts tend to use prior experience to rapidly assess situations rather than generating and comparing option sets in high-pressure environments. This leads to the NDM paradigm.…”

Section: Overview Of Strategies For Decision Makingmentioning

confidence: 99%

“…To this end, the use of intelligent agents in decision making is common. 8 Yılmaz and Tolk propose a multi-simulation multi-model decision support framework that serves as an agent-based decision-support architecture. 8 They emphasize the situation awareness as the basis of decision making in NDM and suggest the use of intelligent agents.…”

Section: Overview Of Strategies For Decision Makingmentioning

confidence: 99%

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Adaptive decision making in agent-based simulation

Topçu

2014

SIMULATION

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In the context of adaptive and autonomous decision making, a computational model is needed to formalize and implement a practical goal deliberation mechanism that determines how goals can be evaluated, adopted, or rejected. Such a model is expected to lead to self-explanatory decision making, which is essential for understanding and influencing the behavior of autonomous agents and to pave the way to generate desirable macro-level behavior in self-adaptive, self-organizing systems. This article introduces an adaptive decision making architecture for agent-based simulation by promoting deliberative coherence and its extensions for decision making under uncertainty. To this end, a deliberative coherence-driven agent model is presented, and then is extended with run-time monitoring mechanisms. The architecture enables us to evaluate goals and competing tasks to facilitate the selection of the most coherent tasks with respect to a given goal, whereas the successful completion of those tasks contributes to the achievement of mission objectives for systems in shifting, ill-defined, and uncertain environments.

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“…Thus, no single MRM structure will do, at least in some cases (the reason that Davis and Bigelow refers to multi-resolution, multi-perspective modeling or MRMPM). Using ontological means to describe scope, resolution, and structure as recommended by Tolk and Turnitsa (2007) allows not only the configuration of mediation layers as defined before, but may support agent mediated solutions as envisioned in Yilmaz and Tolk (2007): if services can described by metadata regarding their resolution, their scope, their structure, and underlying assumptions, intelligent software agents can support the selection, composition, and orchestration process efficiently.…”

Section: Ontological Researchmentioning

confidence: 99%

Observations on new developments in composability and multi-resolution modeling

Davis

Tolk

2007

2007 Winter Simulation Conference

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MRM (MRM) and Composability are two of the most challenging topics in M&S. They are also related. In this paper, which was written to set the stage for conference discussion of related papers, we discuss how addressing the MRM challenge is sometimes a necessary -although not sufficient -step towards solving the composability challenge. This paper summarizes recent developments in theory drawing distinctions among issues of syntax, semantics, pragmatics, assumptions, and validity. The paper then discusses how technology for ontology development may be useful in improving both composability and MRM. Two examples illustrate how some of the issues arise. One involves a large analytic war gaming system from the past; the other involves current counter-terrorism modeling in which many of the complications are due to the socialscience nature of the problem area.

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A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support

Cited by 7 publications

References 13 publications

Using a formal approach to simulation interoperability to specify languages for ambassador agents

Using a formal approach to simulation interoperability to specify languages for ambassador agents

Adaptive decision making in agent-based simulation

Observations on new developments in composability and multi-resolution modeling

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