Agent Based Modeling of Complex Adaptive Systems

Delft University of Technology
  • 4,8 (4)
  • PODCASTS
Agent Based Modeling of Complex Adaptive Systems

Delft University of Technology on iTunes

Episódios

  1. 03/05/2018 · VÍDEO

    Introduction to SPM 9550

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

    1h12min

  2. 03/05/2018 · VÍDEO

    SPM 9550: Chaos, Randomness and Instability - Part 1

    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

    46min

  3. 03/05/2018 · VÍDEO

    SPM 9550: Chaos, Randomness and Instability - Part 2

    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

    7min

  4. 03/05/2018 · VÍDEO

    SPM 9550: Diversity and Self-Similarity

    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

    37min

  5. 03/05/2018 · VÍDEO

    SPM 9550: Emergence

    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

    1h2min

  6. 03/05/2018 · VÍDEO

    SPM 9550: Evolution

    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.

    48min

  7. 03/05/2018 · VÍDEO

    SPM 9550: Introduction to 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.

    23min

  8. 03/05/2018 · VÍDEO

    SPM 9550: Networks - I

    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

    1h7min

  9. 03/05/2018 · VÍDEO

    SPM 9550: Observer Dependence

    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

    48min

  10. 03/05/2018 · VÍDEO

    SPM 9550: Path Dependency

    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

    41min

  11. 03/05/2018 · VÍDEO

    SPM 9550: System Nestedness

    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.

    49min

  12. 03/05/2018 · VÍDEO

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

    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.

    52min
  • 12 episódios

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