Agentic artificial intelligence: A multidimensional framework for autonomous systems, sustainable impact, and scholarly evolution

Öz

Agentic Artificial Intelligence (Agentic AI) signifies a significant progression in intelligent agents, transitioning from reactive to proactive functionalities, incorporating contextual reasoning, learning, and autonomous action. This research delineates four principal shortcomings in the current literature and introduces a comprehensive framework encompassing theoretical foundations, operational structures, and sustainability considerations. The goals are: (1) to make a list of agentic systems based on autonomy, memory, interaction, and learning; (2) to look at how low-code orchestration platforms like Sim and n8n affect agent-based workflows; (3) to see how Agentic AI helps with certain United Nations SDGs; and (4) to do a computational analysis of 218 Scopus-indexed publications from 2023 to 2025 to find research themes in Agentic AI. The study employs KNIME for data preparation and Parallel LDA for topic modeling, uncovering emerging research clusters and emphasizing the insufficient attention to ethical governance, algorithmic accountability, and environmental sustainability. The results show that to get the most out of Agentic AI for society, it is important to combine technical progress with human oversight, frameworks for explainability, and following ethics-by-design principles.

Anahtar Kelimeler

• Low-code Platforms
• Sustainable Development Goals
• Agentic Artificial Intelligence
• Human-AI Collaboration
• AI Agents

Ajan yapay zekâ: Otonom sistemler, sürdürülebilir etki ve akademik evrim için çok boyutlu bir çerçeve

Öz

Ajan yapay zekâ (Ajan YZ), akıllı ajanlarda önemli bir ilerlemeyi ifade eder ve reaktif işlevlerden proaktif işlevlere geçiş yaparak bağlamsal muhakeme, öğrenme ve otonom eylemleri bir araya getirir. Bu çalışma, mevcut literatürdeki dört önemli eksikliği belirlemekte ve teorik temeller, operasyonel yapılar ve sürdürülebilirlik unsurlarını içeren kapsamlı bir çerçeve sunmaktadır. Amaçlar şunlardır: (1) özerklik, bellek, etkileşim ve öğrenme ile karakterize edilen ajan sistemlerinin bir listesini derlemek; (2) Sim ve n8n gibi düşük kodlu orkestrasyon platformlarının ajan tabanlı iş akışları üzerindeki etkisini incelemek; (3) Ajan YZ'nin belirli Birleşmiş Milletler Sürdürülebilir Kalkınma Hedeflerine (SDG'ler) nasıl katkıda bulunduğunu araştırmak; ve (4) Ajan YZ'deki araştırma temalarını belirlemek için 2023'ten 2025'e kadar Scopus indeksli 218 yayının hesaplamalı analizini yapmak. Araştırma, veri hazırlama için KNIME ve konu modelleme için Paralel LDA kullanarak, gelişmekte olan araştırma kümelerini ortaya koymakta ve etik yönetişim, algoritmik hesap verebilirlik ve çevresel sürdürülebilirlik konularına yeterince odaklanılmadığını vurgulamaktadır. Bulgular, Ajan YZ'nin toplumsal faydalarını en üst düzeye çıkarmak için teknolojik ilerlemenin insan denetimi, şeffaflık çerçeveleri ve tasarım aşamasında etik ilkelere bağlılık ile entegre edilmesi gerektiğini göstermektedir.

Anahtar Kelimeler

• Low-code Platformlar
• Sürdürülebilir Kalkınma Hedefleri
• İnsan-Yapay Zeka İşbirliği
• Yapay Zeka Ajanları
• Ajan Yapay Zeka

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