This work explores the fundamental challenges and methodologies in representing knowledge for effective decision support systems. The book compiles papers from the 1984 IFIP WG 8.3 Working Conference, focusing on the integration of artificial intelligence techniques with management information systems. It addresses how to structure and manage complex information to aid human decision-making processes in various organizational contexts, examining different approaches to knowledge acquisition, representation formalisms, and system architectures.

This collection of papers from the 1984 IFIP WG 8.3 Working Conference offers a snapshot of the state-of-the-art in knowledge representation for decision support systems at that time. The contributions likely reflect the foundational research and early explorations into expert systems and AI-driven decision aids. The focus on theoretical frameworks and methodological approaches suggests a text aimed at researchers and practitioners in computer science and information systems, providing insights into the evolution of intelligent systems.