Computer Science & Information Management

Innovation Management and Computing

The Agentic Enterprise
Knowledge, Reasoning, and Strategic Decision-Making

Editor: Cyrus F Nourani, PhD

The Agentic Enterprise

In Production
Pub Date: Forthcoming December 2027
Hardback Price: $150 US | £120 UK
Hard ISBN: 9781834650265
E-Book ISBN: 978-1-83465-027-2
Pages: Est 155 pp w index
Binding Type: Hardback / ebook
Series: Innovation Management and Computing
Notes: 7 color and 6 b/w illustrations

Artificial intelligence is moving from isolated problem-solving tools to strategic intelligence systems that connect human insight, computational reasoning, and organizational goals. The Agentic Enterprise: Knowledge, Reasoning, and Strategic Decision-Making explores this transformation through foundational theory, computational innovation, and enterprise applications.

The volume begins with knowledge representation and graph-based computing, showing how structured information can support reasoning and multi-objective decision-making. Knowledge graphs, visual computing frameworks, and hybrid knowledge-based systems bridge semantic understanding with predictive learning. These approaches provide a foundation for intelligent platforms that interpret context and support collaborative decisions.

Building on these foundations, contributors examine AI-enabled business ecosystems in which data, technology platforms, and distributed capabilities shape innovation and competitive advantage. Decision trees, game-theoretic models, and agent-based planning offer approaches to goal prioritization and strategic coordination. Discussions of augmented reality and blockchain extend the exploration of AI-supported enterprise processes.

The volume also considers the qualification of complex engineered systems that employ AI, machine learning, and large language models. These discussions emphasize disciplined modeling, validation, and human oversight to support reliability and accountability.

Key features:
• Explores knowledge graphs, agent languages, and commonsense hybrid AI.
• Examines multi-objective decisions, competitive models, and blockchain strategies.
• Connects enterprise innovation with systems engineering and rational coordination.

Bringing together knowledge representation, decision-theoretic modeling, and hybrid intelligence, this volume offers researchers, advanced students, and practitioners a resource for understanding how AI can support intelligent enterprises and adaptive ecosystems.

CONTENTS:
Preface

PART I: FOUNDATIONS OF THE AI AGENTIC ENTERPRISE

1. Knowledge Graphs for Visual AI in the Enterprise
Cyrus F. Nourani

2. Next-Generation Business Ecosystems: AI and Data-Driven Management as Enablers
Annika Steiber

PART II: AGENTIC INTELLIGENCE AND HYBRID AI SYSTEMS

3. Agent Languages, Visual Virtual Trees, and Nonmonotonic Model Computing
Cyrus F. Nourani

4. Enterprise AI-Augmented Generative Processes and Knowledge Graph Developments”
Cyrus F. Nourani and Eveline W. Vogt

5. A Commonsense Knowledge-Based System Using Abstract Syntax
Models

Cyrus F. Nourani and Pushkar Sawant

PART III: STRATEGIC MULTI-OBJECTIVE INTELLIGENCE SYSTEMS

6. Business Strategic Decision Trees, Competitive Priorities, and Blockchain Strategies
Cyrus F. Nourani

7. Competitive Models on Deep Learning Degrees
Cyrus F. Nourani

PART IV: SYSTEMS ENGINEERING, GOVERNANCE, AND RATIONAL COORDINATION

8. Toward Multi-Objective Decision-Making with Matrix Goal Priorities
Cyrus F. Nourani

9. The Role of Systems Engineering in the Qualification of Systems That Employ Artificial Intelligence, Machine Learning, and Large Language Models
Neil Siegel

10.Interactions Between Rational Decision-Makers: Coordination Problems
Boris Thienert

Index


About the Authors / Editors:
Editor: Cyrus F Nourani, PhD
Independent Researcher, Distributed Artificial Intelligence Laboratory, Technical University of Berlin, Germany; Simon Fraser University, British Columbia, Canada; AI Berlin, Management Institute of Research & Singularity University, Germany

Cyrus F. Nourani, PhD, is an internationally recognized computer scientist, artificial intelligence researcher, mathematician, and scholarly editor. His interdisciplinary work spans AI reasoning and planning, computing logic, mathematical foundations, predictive analytics, business intelligence, decision theory, and innovation management. Dr. Nourani serves as Series Editor of Innovation Management and Computing at Apple Academic Press, where his editorial contributions include volumes on artificial intelligence and computing logic, predictive analytics and business intelligence, and cooperative computing and enterprise blockchains. His publishing program brings together emerging AI methods, computational theory, and applications across science, technology, and enterprise systems. With more than 400 publications, numerous books and edited volumes, and extensive international academic and research experience, Dr. Nourani has held academic appointments and research engagements in North America, Europe, Australia, and New Zealand. His earlier work includes research and development in AI planning and reasoning, computational mathematics, and industrial computing systems. His continuing scholarship advances the integration of artificial intelligence, mathematical reasoning, computational innovation, and interdisciplinary systems research, contributing to the evolving foundations and applications of intelligent computing.




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