Distributed Decision Making: A Multiagent Decision Support System For Street Management

Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2005Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2005Bu çalışmada, işbirlikçi dağıtık bir insan organizasyonundaki karar etkinliğinin, taktik ve stratejik seviyelerde dağıtık karar destek araçlarıyla arttırılabileceği öngörülmüştür. Çok ajanlı mimariye dayalı ve kullanıcıların karar süreçlerinde aktif olarak yer aldığı yeni bir dağıtık karar destek sistemi önerilmiştir. Sistemin performans modeli bulanık bilişsel haritalama yönetimi kullanılarak oluşturulmuştur. Önerilen sistemin uygulanabilirliği, Java ortamında geliştirilen bir örnek program ile test edilmiştir ve uygulama alanı olarak dağıtık karar vermenin iyi bir örneği olan cadde yönetim sistemi seçilmiştir. Örnek uygulama başarıyla gerçekleştirilmiştir.In this study, it is suggested that, decisional effectiveness in a cooperative distributed human system can be increased by distributed decision support tools at tactical and strategic levels. A new distributed decision support system based on multiagent architecture is proposed, in which human agents are also actively involved in the decision process. The performance model of the system was established using fuzzy cognitive map approach. The applicability of the proposed system was tested on a sample implementation program developed in Java environment and street management is selected as the application domain since it is a good example of distributed decision making. The sample implementation was successfully realized.Yüksek LisansM.Sc

Dynamics of Internal and Global Structure through Linguistic Interactions

. Development of category structure in communication is studied by a constructive approach. Individuals having a word relation matrix as their internal structure communicate by uttering and accepting sentences. Words in sentences uttered are situated in relation with other words by each individual. Words make clusters according to their interrelationships. The structures and dynamics of clusters are studied. Coexisting commonality and individuality of clustering structure is observed in an ensemble of individuals. 1 Introduction A Constructive Approach to Dynamically Complex Systems. Increasingly, biological, ecological, brain, language and social systems have been studied as complex systems. One of the characteristics of these systems is that they show various spatio-temporal dynamics, such as coexisting stability and adaptability, collective behavior, diversification, differentiation, hierarchical level formation, emergence or open-ended evolution. Chaotic behavior is also sometimes..