Agent Based Modeling of Complex Adaptive Systems Delft University of Technology

Introduction lecture on SPM 9550 Agent Based Modelling (ABM) and Complex Adaptive Systems (CAS).

This lecture discuss Chaos and instability. Students should be able to: Define chaos and differentiate it from randomness; Understand pseudo random numbers and their role of in Agent Based Models; Understand model bifurcations; Understand the notion of at

This lecture discuss Chaos and instability. Students should be able to: Define chaos and differentiate it from randomness; Understand pseudo random numbers and their role of in Agent Based Models; Understand model bifurcations; Understand the notion of at

The goals of this lecture: Understand how the diversity of Agents' (elements) influence the system emergent properties, states, behavior and interfaces/interactions; Understand the notion of self-similarity across system levels; Understand the notion of s

The goals of this lecture: Students should be able to give an definition of Emergence / Emergent Properties; Understanding how emergence appears from a reductionist and from a holistic perspective; Understand the notion of system levels, agent, network an

The goals of this lecture: Understand the notions of evolution, co-evolution, coupled fitness landscapes and intractability; Understand the difference between biological and socio-technical evolution.