Part 1. Building a New Science for a Complex World
Prev
Next
Part 1. Building a New Science for a Complex World
Table of Contents
1. Complex Science for a Complex World: An Introduction
Introduction
The complex world of human ecosystems
Understanding human behaviour
Complexity of human ecosystems
Exploring human ecosystems with agents
Autonomous and adaptive agents
Hierarchies of autonomous agents
Interconnected and embedded agents
Exploring national research priorities with agents
An environmentally sustainable Australia
Promoting and maintaining good health
Safeguarding Australia
Building a new science for a complex world
Towards holistic visions and polymorphic tools
Towards a new epistemology of science
A few last words
References
2. Towards a New Ontology of Complexity Science
Introduction
A fully connected world
A new kind of science
The practice of complexity
References
3. Agents, Icons and Idols
Abstract
Introduction
Cognitive agents
Interaction system
System of representation
Conative system
Organisation system
Exploring human ecosystems
Deceptive idols
Bacon’s idols
Prospect theory
Cognitive dissonance
Socially constructed icons
Peirce’s icons
Enactive cognitive theory
Social constructions
Paradigm shift
Normal views on social rationality
A post-normal temptation
Companion modelling
Conclusion
Acknowledgement
References
4. The Uncertain Fate of Self-Defeating Systems
Abstract
Introduction
Self-referential systems
Definition
The bar problem defined
The bar problem simulated
The bar problem extended
Human ecosystems
Fisheries
Evolutionarily stable strategies
A modified minority game?
Discussion
Acknowledgments
References
5. The Structure of Social Networks
Abstract
Introduction
Networks
Network properties
Real world complex networks
Models of complex networks
Hierarchies and dominance
Dominance and linear hierarchical ranking
Bobby Fischer and the Ruy Lopez opening line
Fischer’s dominance
Some closing comments on dominance hierarchies
Enforcement of social norms
Models of social dilemmas
Model of social structure
Discussion and implications
Some comments on the enforcement of social norms
Closing comments
Acknowledgements
References
6. Integration and Implementation Sciences: Building a New Specialisation
Abstract
Introduction
Defining key elements of the social issues
Theoretical and methodological pillars
Systems thinking and complexity science
Participatory methods
Knowledge management, exchange and implementation
Grounding in practical collaboration
Where would Integration and Implementation Sciences sit in universities?
Statistics as a useful analogy
Challenges in developing a new specialisation
Next Steps
Acknowledgments
References