The paper proposes that knowledge based systems must be designed as complex adaptive systems and any other approach is not fundamental, even if sometimes it yields good results. Complex systems are characterized as having global behavior not always explainable from local behavior. Here we propose that the way we perceive knowledge in AI needs to change to Complex Adaptive, hence the need for a ...

A sequential approach to combining two establishedmodeling techniques (systems thinking and Bayesian Belief Networks; BBNs)was developed and applied to climate change adaptation researchwithin the South East Queensland Climate Adaptation Research Initiative (SEQ-CARI). Six participatoryworkshops involving 66 stakeholders based within SEQ produced six system conceptualizations and 22 alpha-level...

The development of strategy remains a debate for academics and a concern for practitioners. Published research has focused on producing models for strategy development and on studying how strategy is developed in organisations. The Operational Research (OR) literature has highlighted the importance of considering complexity within strategic decision making; but little has been done to link stra...

This work suggests a method to study mutual shaping between technologies and law drawing on empirical evidence from two different and simultaneously developing patient-oriented information systems in e-health. The approach of Complex Adaptive Systems is applied to analyze documentary data in the first case to identify causal elements in the ‘memory’ of its design work, and the narrative data in...