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

The best podcasts on investing. For anyone interested in the stories in the investing industry, whether it's an interview with Ray Dalio or Ed Thorp to the writer of The Big Short. This topic includes the most fascinating stories from all the best investors. Add episodes you're interested into your queue below!

Best Investing Podcasts

The best podcast episodes on non-current politics. Covering topics such as universal basic income, democracy, poverty & justice and more. For anyone interested in learning more about politics that affect that world, not just now, but in the longer term. Add episodes you're interested into your queue below!