Table of Contents

1 Introduction

1.1 Systems

1.1.1 what is a system?

1.1.2 why do systems exist?

1.2 Simple to Complex

1.2.1 simple system example

1.2.2 complex system example

1.3 How Can We Formalize A Framework?

1.3.1 invariant features of a system

2 Design

2.1 Signals and Boundaries

2.1.1 [5]

2.1.2 Signals

  1. What is a signal
  2. Representing Signals
  3. Encoding Signals
  4. Decoding Signals
  5. Encoding Multiple Signals

2.1.3 Defining Boundaries

2.1.4 Tags

2.2 Agents

2.2.1 [5]

2.2.2 State

2.2.3 Information Processing

2.2.4 Output

2.3 Complex Systems

2.3.1 [5]

2.3.2 Collections of Agents/Nodes

2.4 Patterns and Propagation

2.4.1 [2]

2.5 Networks and Flow

2.5.1 Directed/Undirected Graphs

2.5.2 Network Measures

2.5.3 Sources/Sinks

2.5.4 [6]

2.6 Hierarchical Embeddings

2.6.1 [2]

2.7 Cycles and Processes: Continuous Vs. Discrete

2.7.1 [7]

2.8 Entropy

2.8.1 [12]

2.9 Nonlinearity

2.9.1 [5]

2.9.2 [7]

2.9.3 Feedback

2.9.4 Chaos

3 Implementation

3.1 Water

3.1.1 Streams

3.1.2 Waves

3.1.3 Flow

3.2 Chemical Reactions

3.3 Biology

3.3.1 Simple Building Blocks

3.4 Humans

3.4.1 [6]

3.4.2 Physical Senses (Vision/Auditory/Touch)

3.4.3 Communication

3.4.4 Human Language vs. Computer Code

  1. [1]
  2. generative sets, how we use syntax to group tagged blocks into hierarchies

3.4.6 Emotion

3.4.7 The Brain as a Substrate

  1. Representation vs. Interpretation
  2. Capacity and Intelligence

3.5 Art/Music

3.6 Psychology/Individual Behavior

3.6.1 [3]

3.6.2 [6]

3.7 Cities

3.7.1 Streets

  1. Ex: Transportation Network Planning as Minimizing Special Routes, terminal endpoints
    1. what if every road was a tight, one way? if there was only one car on the road and no stopsigns, this would be most efficient but constraint of having a lot of cars
    2. in terms of networks, roads between hubs ideally should have the most bandwidth and decreasing bandwidth down to the least hub-like endpoint

3.7.2 Flow

3.7.3 [4]

3.8 Governments/Society/Economies/Collective Behavior

3.8.1 [4]

3.9 The Universe at Scale

4 Integration

4.1 Emergence

4.2 Creating New Dimensions

4.3 Agent State and Representation

4.4 Dynamics

4.5 Adaptation and Learning

5 Conclusion

5.1 "A Short Version of the Whole"

5.2 Guiding Unfamiliarity

5.4 Consistency of Representation