Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
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Information-Knowledge-Systems Management
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IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
Management of systemic risks and cascade failures in a networked society
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
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Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
Determining causality and dependency in loosely coupled, n-dimensional social networks
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
Entropy: A unifying path for understanding complexity in natural, artificial and social systems
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
Towards safe information technology in health care
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
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This paper elaborates the conceptual underpinnings needed to understand and influence change in complex socio-technical systems. The nature of causality is first addressed, followed by consideration of the nature of complexity. It is argued that, at least from a practical perspective, the difficulty in understanding causality increases as complexity increases. The possibility of influencing change is addressed in terms of concepts, principles and models for analysis and design in a range of domains or contexts.