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Yayın İnsan ve makinede sanat içgüdüsü(Işık Üniversitesi, 2023-09-26) Yücel, Ece; Kara Sarıoğlu, Didem; Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Sanat Bilimi Doktora ProgramıYapay zeka alanındaki özellikle son on yıla ait atılımlar sayesinde makine zekası ve yetisi insan becerilerine ortak ve hatta rakip haline gelmiştir. Bir çok endüstriyel alanda otonom sistemler insan iş gücünün yerini almaya başlamıştır. Günlük hayatında neredeyse her alanına müdahil olan yapay zeka her geçen gün daha da insanileşmekte ve insanın ötesine geçme olasılığı bilim insanları ve disiplinin uzmanları tarafından dile getirilmektedir. Bu durumun bir sonucu olarak insanlar için makinelerin yerlerini alması ihtimali ciddi bir endişe haline gelmiştir. Makineler sadece insan iş gücüne ve emeğine talip olmanın dışında son dönemde artan bir ivmeyle de sanat dünyasında etkin ancak tartışmalı bir aktör konumuna oturmuştur. Böylece uzun süre makinenin müdahalesinden muaf görülen sanat da zanaatkar ve yaratıcı yapay sistemlerle karşı karşıya kalmıştır. Günümüzde makineler şiir, resim, heykel, müzik, senaryo yazarlığı alanlarında hatta küratörlükte başarılı bir varlık göstermekte üstüne iddialı söylemlerde bulunmaktadır. Güncel dönemde üretilen literatürleri ve tartışmaların içeriğini oluşturan yapay zekâ ve sanat üzerine belirtilen olumlu ya da olumsuz yorumları ve argümanları genel olarak incelediğimizde makinenin sanata müdahil oluşu ve sanat yapabilirliği sorgulanmaktadır. Oysa makinenin sanatla buluşması günümüze ait yeni bir oluşum değildir. Endüstri devrimi ile başlayan süreçte farklı sanat akımları ve sanatçılar tarafından gelişen teknoloji sanata dahil edilmiştir. Bu çalışmada makine zekasının sanat yapma imkanı tartışılırken bu sorunsalın yeni bir sorgulamaya evrilmesi gerekliliği vurgulanmıştır. Makine ve insan arasında evrimsel, zihinsel ve bedensel paralelliklere analojik bir yaklaşım geliştirilmiştir. Böylece metindeki yeni sual makinenin sanat üretme niyeti ve ihtiyacı dolayısıyla sanat güdüsü olup olmayacağı tartışması olarak yeniden betimlenecektir. Makinenin insana benzeme yahut insansılaşma sürecinde hümanistik psikolojinin pozitif bakış açısı baz alınarak yeni Maslow İhtiyaçlar Hiyerarşisi modellemesi sunulacaktır.Yayın An industrial application using blackboard architecture(Işık Üniversitesi, 2006) Tünay, Kerem Burak; Kuru, Selahattin; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Yüksek Lisans ProgramıThis thesis implements control architecture for goal-driven blackboard systems. The architecture is based on searching a general goal tree by diminishing into sub-goal trees. The aim is to develop a problem solving architecture in the AI space via blackboard system. The basic elements of the architecture are goals, policies, strategies, facts, methods, and knowledge sources. The basic control loop employs a bidding mechanism to determine the knowledge source to be executed at the current cycle. A policy is a local scheduling criterion which guides to bidding process and it indicates which of the attributes of the knowledge sources are relevant in this process. A strategy is a global scheduling criteria such as depth-first, breadth-first etc. A method is a partially complete general goal tree structure representing high level knowledge on how to solve a problem. The architecture employs a control blackboard, and separate knowledge sources for the control problem and for representing the domain knowledge. A production planning application is developed using this architecture. Both C++ and ABAP languages were used to implement this application.Yayın A review of "The Fourth Industrial Revolution" by Klaus Schwab(Işık Üniversitesi Yayınları, 2024-04-30) Abekah-Brown, Mustapha AkweiKlaus Schwab's "The Fourth Industrial Revolution" illuminates a period marked by remarkable technological advancements that are fundamentally reshaping our society. The book meticulously details breakthroughs in artificial intelligence, robotics, and biotechnology, while also acknowledging the challenges accompanying these innovations. Schwab sets out to achieve objectives centered around increasing awareness, fostering understanding, and promoting cooperation throughout the book. This book is an indispensable reading for anyone seeking a deeper understanding of the ongoing revolution and its implications.Yayın Software defect prediction using Bayesian networks and kernel methods(Işık Üniversitesi, 2012-07-01) Okutan, Ahmet; Yıldız, Olcay Taner; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Doktora ProgramıThere are lots of different software metrics discovered and used for defect prediction in the literature. Instead of dealing with so many metrics, it would be practical and easy if we could determine the set of metrics that are most important and focus on them more to predict defectiveness. We use Bayesian modelling to determine the influential relationships among software metrics and defect proneness. In addition to the metrics used in Promise data repository, We define two more metrics, i.e. NOD for the number of developers and LOCQ for the source code quality. We wxtract these metrics by inspecting the source code repositories of the selected Promise data repository data sets. At the end of our modeling, We learn both the marginal defect proneness probability of the whole software system and the set of most effective metrics. Our experiments on nine open source Promise data repository data sets show that respense for class (RFC), lines of code (LOC), and lack of coding quality (LOCQ) are the most efective metrics whereas coupling between objets (CBO), weighted method per class (WMC), and lack of cohesion of methods (LCOM) are less efective metris on defect proneness. Furthermore, number of children (NOC) and depth of inheritance tree (DIT) have very limited effect and are unstustworthy. On tthe other hand, based on the experiments on Poi, Tomcat, and Xalan data sets, We observe that there is a positive correlation between the number of developers (NOD) and the level of defectiveness.However, futher investigation involving a greater number of projects, is need to confirm our findings. Furthermore, we propose a novel technique for defect prediction that uses plagiarism detection tools. Although the defect prediction problem haz been researched for a long time, the results achieved are not so bright. We use kernel programming to model the relationship between source code similarity and defectiveness. Each value in the kernel matrix shows how much parallelism exit between the corresponding files ib the kernel matrix shows how much parallelism exist between the corresponding files in the software system chosen. Our experiments on 10 real world datasets indicate that support vector machines (SVM) with a precalculated kernel matrix performs better than the SVM with the usual linear and RBF kernels and generates comparable results with the famous defect prediction methods like linear logistic regression and J48 in terms of the area under the curve (AUC).Furthermore, we observed that when the amount of similarity among the files of a software system is high, then the AUC found by the SVM with precomputed kernel can be used to predict the number of defects in the files or classes of a software system, because we observe a relationship between source code similarity and the number of defects. Based on the results of our analysis, the developers can focus on more defective modules rather than on less or non defective ones during testing activities. The experiments on 10 Promise datasets indicate that while predicting the number of defects, SVM with a precomputed kernel performs as good as the SVM with the usual linear and RBF kernels, in terms of the root mean square error (RMSE). The method proposed is also comparable with other regression methods like linear regression and IBK. The results of these experiments suggest that source code similarity is a good means of predicting both defectiveness and the number of defects in software modules.Yayın LuminaURO: a comprehensive Artificial Intelligence Driven Assistant for enhancing urological diagnostics and patient care(Hayat Sağlık ve Sosyal Hizmetler Vakfı, 2025-05-29) Soylu, Tuncay; Topçu, İbrahim; Karaman, Muhammet İhsan; Tuzcu, Esra Melis; Kınık, Abdullah Harun; Güneren, Mustafa Sacit; Salman, Zeynep; Demir, Perihan; Beyzanur, KaçAim: This study aims to develop and validate LuminaURO, a Retrieval-Augmented Generation (RAG)-based AI Assistant specifically designed for urological healthcare, addressing the limitations of conventional Large Language Models (LLMs) in healthcare applications. Methods: We developed LuminaURO using a specialized repository of urological documents and implemented a novel pooling methodology to search multilingual documents and aggregate information for response generation. The system was evaluated using multiple similarity algorithms (OESM, Spacy, T5, and BERTScore) and expert assessment by urologists (n=3). Results: LuminaURO generates responses within 8-15 seconds from multilingual documents and enhances user interaction by providing two contextually relevant follow-up questions per query. The architecture demonstrates significant improvements in search latency, memory requirements, and similarity metrics compared to state-of-the-art approaches. Validation shows similarity scores of 0.6756, 0.7206, 0.9296, 0.9223, and 0.9183 for English responses, and 0.6686, 0.7166, 0.8119, 0.9220, 0.9315, and 0.9086 for Turkish responses. Expert evaluation by urologists revealed similarity scores of 0.9444 and 0.9408 for English and Turkish responses, respectively. Conclusion: LuminaURO successfully addresses the limitations of conventional LLM implementations in healthcare by utilizing specialized urological documents and our innovative pooling methodology for multilanguage document processing. The high similarity scores across multiple evaluation metrics and strong expert validation confirm the system’s effectiveness in providing accurate and relevant urological information. Future research will focus on expanding this approach to other medical specialties, with the ultimate goal of developing LuminaHealth, a comprehensive healthcare assistant covering all medical domains.Yayın İktisadi büyümeyi doğadan ilham alan teknolojiler ile yeniden düşünmek: biyomimikri, yapay zekâ ve döngüsel ekonomi(Işık Üniversitesi Yayınları, 2025-04-30) Taşbaşı, AslıÜretim ve tüketim artışına dayalı anaakım iktisadi büyüme modelleri, küresel ölçekte çevresel tahribatı ve toplumsal eşitsizlikleri derinleştirmiş; piyasa odaklı reçeteler ise bu sorunlara etkili çözümler üretememiştir. Bu çalışma, ekolojik iktisadın kuramsal temellerinden hareketle, biyomimikri ve döngüsel ekonomiyi büyümeyi yeniden tanımlayabilecek dönüştürücü unsurlar olarak ele almakta; gezegenin sınırlarını gözeten, teknolojik ilerleme ve toplumsal refahı önceleyen alternatif bir paradigma önermektedir. Yapay zekânın bu dönüşümdeki belirleyici rolüne dikkat çeken çalışmada, biyomimetik teknolojilerin kısa vadeli kâr maksimizasyonu yerine sürdürülebilirlik ve toplumsal refah ilkeleri doğrultusunda uygulanması gerektiği savunulmaktadır. Bu bağlamda, seçili iktisadi süreçlere ilişkin olarak miselyum ağları ve protoplazmaların yapısal ve işlevsel özelliklerinden esinle, yapay zekâ destekli görsel temsiller geliştirilmiştir. Söz konusu yöntem, hem biyomimetik-analojik eşleştirme yaklaşımıyla, hem de iktisadi sistemlere ilişkin çok katmanlı görsel temsil üretimiyle literatürde özgün bir ilk olma niteliği taşımaktadır.Yayın Yapay zeka destekli etkileşimli hikaye anlatımı: bitmeyecek öykü(Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2025-06-25) Alkuzu, Merve; Avcı Tuğal, Sibel; Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Görsel İletişim Tasarımı Yüksek Lisans Programı; Işık University, School of Graduate Studies, Master’s Program in Visual Communication DesignBu tez çalışması, klasik anlatı biçimlerinin dijital çağın sunduğu teknolojik imkânlarla nasıl yeniden yapılandırılabileceğini araştırmaktadır. Michael Ende’nin Bitmeyecek Öykü adlı eserinde yer alan “Fantazya Tehlikede” bölümü temel alınarak kurgulanan bu projede, kullanıcıya anlatının gidişatını seçimlerle yönlendirme hakkı verip; anlatıyı stabil bir anlatımdan çıkarılarak çoklu yollarla ilerleyen bir yapı kazandırılmıştır. Kullanıcı, yalnızca izleyici değil; seçimleriyle hikâyeyi biçimlendiren aktif bir katılımcı rolündedir. Yapay zekâ bu çalışmada yalnızca teknik bir üretim aracı olarak değil, aynı zamanda anlatının yaratıcı bir bileşeni olarak değerlendirilmiştir. Görsel üretimde hem MidJourney hem de ChatGPT araçları kullanılmıştır. MidJourney’de üretilen görseller daha sinematik kompozisyonlardan oluşurken, CHATGPT tarafından üretilen görseller Studio Ghibli tarzına yakın illüstrasyonlardan oluşmaktadır. Metin üretiminde ise ChatGPT, kullanıcı seçimlerine göre şekillenen alternatif senaryo akışlarının geliştirilmesinde kullanılmıştır. Böylece yapay zekâ, anlatının hem estetik hem de yapısal yönlerine doğrudan katkı sağlamıştır. Proje, senaryo kurgusu, yapay zekâ destekli görsel ve metinsel üretim süreçleri ile etkileşimli bir web tabanlı platformun bütüncül biçimde bir araya getirildiği, çok katmanlı bir deneyim tasarımı modeli olarak yapılandırılmıştır. Anlatı, seçimlerle yönlenen akışı sayesinde kullanıcıya özgü yollar sunarken; görsel ve metinsel içerikler bu deneyimi derinleştiren tamamlayıcı bileşenler olarak işlev görmektedir. Bu bağlamda proje, dijital hikâye anlatımında yapay zekâ temelli içerik üretimi ve kullanıcı etkileşimi ekseninde geliştirilen, uygulamaya dönük bir model olarak literatüre katkı sunmayı hedeflemektedir.Yayın Relationships among organizational-level maturities in artificial intelligence, cybersecurity, and digital transformation: a survey-based analysis(Institute of Electrical and Electronics Engineers Inc., 2025-05-19) Kubilay, Burak; Çeliktaş, BarışThe rapid development of digital technology across industries has highlighted the growing need for enhanced competencies in Artificial Intelligence (AI), Cyber security (CS), and Digital Transformation (DT). While there is extensive research on each of these domains in isolation, few studies have investigated their relationship and joint impact on organizational maturity. This study aims to address this gap by analyzing the relationships among the maturity levels of AI, CS, and DT at the organizational level using Structural Equation Modeling (SEM) and descriptive statistical methods. A mixed-methods design combines quantitative survey data with synthetic modeling techniques to assess organizational preparedness. The findings demonstrate significant bidirectional correlations among AI, CS, and DT, with technology and finance being more advanced than government and education. The research highlights the necessity of an integrated AI-CS strategy and provides actionable recommendations to increase investments in these domains. In contrast to the preceding fragmented evaluations, the current research establishes a comprehensive, empirically grounded framework that acts as a strategic reference point for digital resilience. Follow-up studies will involve collecting real-world industry data in support of empirical validation and predictive ability in measuring AI and CS maturity. This research adds to the existing literature by filling the gaps among fragmented digital maturity models and providing a consistent empirical base for organizations to thrive in an evolving technological environment.Yayın Understanding AI adoption at organizations: literature review of TOE framework(Suat Teker, 2025-07-30) Dönmez, Sena; Tuncay Çelikel, Aslı; Soykut Sarıca, Yeşim Pınar; Develi, Evrim İldemPurpose- In the contemporary business landscape, we are witnessing the rapid development of Artificial Intelligence (AI), which is fundamentally reshaping organizational practices. These developments mark what can be described as the "Era of AI", a significant milestone in technological history. While AI offers benefits, it also presents critical challenges, particularly concerning its adoption and the adaptation processes within organizations. Despite the swift evolution of AI technologies, research on their practical applications in organizational settings remains scarce and underdeveloped. This gap highlights a promising area for further exploration. In alignment with the literature, it can be argued that organizations with higher AI adoption rates tend to achieve better innovation outcomes, which suggests a need to revisit and potentially expand the Technology-Organization-Environment (TOE) paradigm. Originally developed to explain technological adoption/embracement, the TOE framework may not capture the complexities introduced by AI. This study aims to explore whether an expanded TOE paradigm is necessary to better address the contemporary dynamics of AI adoption. Methodology- This research investigates the historical development and consolidation of AI within organizations, using the TOE paradigm as a foundational theoretical look. The study examines whether the existing TOE model sufficiently explains AI adoption or whether it requires augmentation to remain relevant in the age of generative AI. Findings- Literature review findings indicate that the traditional TOE framework exhibits limitations when applied to AI adoption. To address these gaps, another study was found in the literature that proposes the inclusion of a human factor—transforming the TOE into a TOEH (Technology-Organization-Environment-Human) model. In our research we would like to integrate critical thinking (CT) skills under Human Factor, as organizations increasingly seek employees who can critically assess and effectively utilize outputs from generative AI (GenAI) tools. The ability to make intelligent and ethical decisions in the context of AI is now a vital competency. Conclusion- The proposed TOEH framework offers a more well-rounded approach to discovering AI adoption within organizations. By incorporating the human element, particularly critical thinking skills, organizations can better prepare to embrace AI in an ethical, effective, and innovative manner.Yayın Artificial intelligence applications in addressing the ecological crisis: a critical review(Işık Üniversitesi Yayınları, 2025-10-30) Güneş, Bedri SinaThis study critically examines the potential of 21st-century technological transformation, particularly artificial intelligence (AI), in addressing ecological crises. Drawing on historical and societal transformations—from hunter-gatherer societies to feudal and capitalist systems—it highlights how human-nature relationships have been reshaped and how ecological crises are closely intertwined with production relations. The paper explores AI applications in key ecological domains, including water quality, air quality, biodiversity and habitat conservation, and carbon capture and storage, demonstrating that these technologies can play an effective role in monitoring and mitigating environmental problems. However, case studies indicate that the potential benefits of AI are constrained by data infrastructure gaps, high costs, algorithmic uncertainties, social inequalities, and insufficient governance mechanisms. The study argues that the effectiveness of AI in ecological crisis management depends not only on technical advancements but also on social adaptation, inclusive governance, and equitable access to resources. When deployed with societal oversight and aligned with collective well-being, AI technologies can serve as powerful tools for sustainable ecological management, whereas unregulated or inequitable use risks deepening existing crises.
