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

Introduction to SPM 9550

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

SPM 9550: Diversity and Self-Similarity

This lecture discuss Path Dependency. Students should be able to: Give a definition of path dependency; Understand path dependency as a notion of memory (internal to agent); Understand path dependency as a notion of history (external to agent, as an emerg

SPM 9550: Path Dependency

The goals of this lecture: Understand the difference between vertical and horizontal nestedness; Understand that a system can be a context for another system; Understand adaptive cycles from the perspective of system nestedness.

SPM 9550: System Nestedness

The goals of this lecture: Students should be able to give a definition of Observer Dependent; Understand that each observer has his own worldview that determines what and how is observed; Understand how observe dependence interacts with Emergence; Unders

SPM 9550: Observer Dependence

The goals of this lecture: Understand the notion of networks as graphs consisting of nodes and edges; Understand different topologies and how they affect the networks; Know the meaning of the basic network metrics; Understand basic network evolution proce

SPM 9550: Networks - I

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

SPM 9550: Chaos, Randomness and Instability - Part 2

Resilience

The goals of this lecture are to introduce concept resilience, to introduce concept of robustness and to explain the difference between engineering resilience and ecological resilience.

SPM 9550: What exactly is resilience?: Exploring the concept and its use for Agent Based Modeling

The goals of this lecture: Understand what is an Agent, and what is an Agent Based Model; Understand the concepts of generative science; Understand how bottom up modeling is different from other modeling techniques.

SPM 9550: Introduction to Agent Based Modeling

SPM 9550: Chaos, Randomness and Instability - Part 1

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.

SPM 9550: Evolution

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

SPM 9550: Emergence

Hi Dr. Nikolic, I’m going to look up some of your papers to put in my thesis for Illinois Tech in Dr Cinar’s Lab. I like your philosophy on how an ABM is deterministic chaos. I agree.

Nice Philosophy of ABM

Agent Based Modeling of Complex Adaptive Systems

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