Abstract Carbon emissions bring significant risks and opportunities, organisations have responded by adopting different strategies environmental control systems, such as carbon accounting systems (CASs). However, it remains unclear whether a CAS can help reduce emissions, what role is played in the relationship between strategy performance. Therefore, this paper analyses strategy-accounting-per...

Complex systems interact with an environment where a high degree of uncertainty exists. To reduce uncertainty, enterprises (should) create intelligence. This chapter shows that intelligence has two purposes: first, to increase and to assess (thus to correct) existing knowledge, and second, to support decision making by reducing uncertainty. The chapter discusses complex adaptive systems. Enterp...

We have studied the adaptation of mutation rates in a simple model of evolution. The model consists of a two-dimensional world with a periodically replenished resource and a uctuating population of evolving agents whose survival and reproduction are an implicit a function of their success at nding resources and their internal metabolism. Earlier work suggested that mutation rate is a control pa...

Complexity science frequently addresses the self-referential aspects of complex adaptive systems. Recent research in organization theory similarly refers to these systems as autopoietic. This paper reformulates existing theories of organizational learning and knowledge in terms of autopoietic organization theory. Within this framework, communication is the basic organizational operation. Organi...

This thesis proposal aims to provide a new approach to the study of complex adaptive systems in social sciences through a methodological framework for modeling and simulating these systems like artificial societies. Agent based modeling (ABM) is well fitted for the study of social systems as it focuses on how local interactions among agents generate emergent larger and global social structures ...

A Complex Adaptive System (CAS) is a network of communicating, intelligent agents where each agent adapts its behavior in order to collaborate with other agents to achieve overall system goals. Further, the overall system often exhibits emergent behavior that cannot be achieved by any proper subset of agents alone. A graphical simulation library called Operational Evaluation Modeling for Contex...

One of the great joys of being an academic is that you get to play in the world of ideas and words. It is like being invited to get into your favourite sandpit every day and fool around and see what happens. One of the problems with this, however, is that sometimes people ask you to explain the curious sandcastle you built or that odd looking shape in the corner. As those of you who have a psyc...

Complex systems interact with an environment where a high degree of uncertainty exists. To reduce uncertainty, enterprises (should) create intelligence. This chapter shows that intelligence has two purposes: first, to increase and to assess (thus to correct) existing knowledge, and second, to support decision making by reducing uncertainty. The chapter discusses complex adaptive systems. Enterp...

health systems, particularly those in low- and middle-income countries (lmics), need stronger management and leadership capacities. management and leadership are not synonymous, yet should be considered together as there can be too much of one and not enough of the other. in complex adaptive health systems, the multiple interactions and relationships between people and elements of the system me...

There is still no consensus definition of complex systems. This article explores, as a heuristic approach, the possibility of using notions associated with life as transversal concepts for defining complex systems. This approach is developed within a general classification of systems, with complex systems considered as a general ‘living things’ category and living organisms as a specialised cla...