Nil H. Kilicay-Ergin

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System of Systems (SoS) development is a complex process that depends on the cooperation of various independent Systems [1]. SoS acquisition and development differs from that typical for a single System; it has been shown to follow a wave paradigm known as the Wave Model [2]. Agent based models (ABMs) consist of a set of abstracted entities referred to as(More)
Model Based Systems Engineering (MBSE) follows a model centric approach in contrast to the traditional document centric approach. The complexity of SoS development lends itself nicely to a model centric approach, especially a model that can represent the independence of the systems that comprise the SoS. An agent-based model provides a framework where the(More)
Previous papers have described a computational approach to System of Systems (SoS) development using an Agent-Based Model (ABM). This paper describes the Fuzzy Decision Analysis used in the negotiation between the SoS agent and a System agent in the ABM of an Acknowledged SoS development. An Acknowledged SoS has by definition a limited influence on the(More)
Associative methods for content-based image ranking by semantics are attractive due to the similarity of generated models to human models of understanding. Although they tend to return results that are better understood by image analysts, the induction of these models is difficult to build due to factors that affect training complexity, such as coexistence(More)
In today’s market, companies tend to develop long-term multiple-generation product strategies instead of releasing consecutive single products to maintain market competitiveness. Even though this strategy affords market vitality, it also can bring about inter-product-line cannibalization. Cannibalization within a multiple-generation product line is a(More)