Emergence – Key Concept in Systems Thinking
Emergence – Key Concept in Systems Thinking, available at $39.99, has an average rating of 3.9, with 9 lectures, based on 29 reviews, and has 239 subscribers.
You will learn about By the end of this course students will have a solid grasp of the core concepts within emergence theory and will be able to apply them within their specific domain. By the end of the course students will have gained a greater understanding of the key concepts within systems theory and complexity theory This course is ideal for individuals who are This course will be suited to those within almost all areas of science, engineering or management It is particularly useful for This course will be suited to those within almost all areas of science, engineering or management.
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Summary
Title: Emergence – Key Concept in Systems Thinking
Price: $39.99
Average Rating: 3.9
Number of Lectures: 9
Number of Published Lectures: 9
Number of Curriculum Items: 9
Number of Published Curriculum Objects: 9
Original Price: €29.99
Quality Status: approved
Status: Live
What You Will Learn
- By the end of this course students will have a solid grasp of the core concepts within emergence theory and will be able to apply them within their specific domain.
- By the end of the course students will have gained a greater understanding of the key concepts within systems theory and complexity theory
Who Should Attend
- This course will be suited to those within almost all areas of science, engineering or management
Target Audiences
- This course will be suited to those within almost all areas of science, engineering or management
Emergence is one of the central concepts within systems thinking as it describes a universal process of becoming or creation, a process whereby novel features and properties emerge when we put elementary parts together as they interact and self-organize to create new patterns of organization. Emergence being a highly abstract concept is literally everywhere, from the evolution of the universe to the formation of traffic jams, from the development of social movements to the flocking of birds, from the cooperation of trillions of cells giving rise to the human body to the formation of hurricanes and financial crises. Although the ideas of emergence have been of interest to many for millennia it has often been seen as something of a mystery, but with the development of complexity theory, we increasingly have the computational and conceptual tools to understand it in a structured, scientific fashion. During the course, we will be drawing upon different ideas in complexity and systems theory to build up a framework for understanding emergence in a coherent fashion. More specifically, we will explore emergence as a form of nonlinear pattern formation. Where synergies between elementary parts give rise to self-organization and the formation of a distinct pattern, that creates new, emergent levels of organization, that are driven by an evolutionary dynamic.
Content
After giving an overview of emergence theory, the course is designed around four main sections. In the first section, we start off by talking about patterns of correlation in general before going on to look at synergistic interactions that are the foundations to emergence.
The next section is focused on pattern formation, the question of how the parts come to self-organize; to synchronize their states into forming a new level of organization. Here we will talk about the two primary different types of emergence that are often used categorizations; what are called strong and weak emergence.
In the third section, we will look at the idea of integrative levels, how synergies give rise to pattern formation and the emergence of new levels of organization called integrative levels. We will talk about how these different levels come to have their own irreducible internal structure and processes that result in a complex dynamic between the micro and macro levels of organization.
In the last section of the course, we will look at how emergence plays out over time within some process. We will talk about the edge of chaos hypothesis; how self-organizing, emergent systems never quite lock into place but instead evolve through a dynamic interplay between order and disorder, to create novel phenomena at new levels of complexity.
Audience
This is an introductory course and is non-technical, however, it is important to note that the concept of emergence is highly abstract, to do it justice we will have to use high-level abstractions, as such students will need to feel comfortable with formal abstract models.
The course should be accessible without need for any specific background in science and should be of relevance to many different domains, in particular for those in the areas of computer science, biology and ecology, philosophy, the cognitive sciences and anyone with an interest in better understanding this central concept with the complexity and systems theory framework.
Course Curriculum
Chapter 1: Overview
Lecture 1: Emergence
Chapter 2: Synergies
Lecture 1: Patterns
Lecture 2: Synergies
Chapter 3: Pattern Formation
Lecture 1: Pattern Formation
Lecture 2: Strong & Weak Emergence
Chapter 4: Integrative Levels
Lecture 1: Intergrative Levels
Lecture 2: Micro-Macro Dynamic
Chapter 5: Emergent Processes
Lecture 1: Emergent Processes
Lecture 2: Edge of Chaos
Instructors
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Systems Innovation
eLearning for systems thinkers
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 10 votes
- 5 stars: 13 votes
Frequently Asked Questions
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