Computational Creativity and Multi-Agent Systems, fall 2016

The documentation is largely in development. Expect constant changes.

(repository with the full code examples)

This documentation holds tips and sample code relevant to the course. All the code is written with Python 3.5 in mind. Although many of the snippets work on earlier Python versions, we recommend installing Python 3.5 straight away (see Setup Development Environment).

• 1. Preliminaries
  • 1.1. Install Python
    • 1.1.1. Installing Python 3.5.x
    • 1.1.2. Creating a Virtual Environment
    • 1.1.3. Installing the Requirements
    • 1.1.4. Text Editor
  • 1.2. Learn Python
• 2. Course Format
  • 2.1. First Part - Weekly format
  • 2.2. Second Part - Group Projects
  • 2.3. Take Home Exam
  • 2.4. Grading
• 3. Linguistic Creativity
  • 3.1. Text Generation with MC
    • 3.1.1. Generate Data
    • 3.1.2. Compute State Transition Probabilities
    • 3.1.3. Generate Text
  • 3.2. Parsing Text with NLTK
    • 3.2.1. Downloading the Data
    • 3.2.2. Remove the Excessive Parts
    • 3.2.3. Tokenize the text
    • 3.2.4. Sanitation of the Tokenized Sentences
• 4. Multi-Agent Systems
  • 4.1. Toy Example of MAS
    • 4.1.1. Parsing the Vocabulary
    • 4.1.2. Creating an Agent Class
    • 4.1.3. Generating words
    • 4.1.4. Evaluating Words
    • 4.1.5. Inventing New Words
    • 4.1.6. Voting
    • 4.1.7. Running the Simulation
  • 4.2. Agents with Memory
    • 4.2.1. Memory Model
    • 4.2.2. Add ListMemory to ToyAgent
    • 4.2.3. Memorization from Domain
    • 4.2.4. Running the Simulation
• 5. Assignments
  • 5.1. Essays
  • 5.2. Exercises
• 6. Group project
  • 6.1. Overview
  • 6.2. Group Formation
  • 6.3. Project Progression
  • 6.4. Deliverables
    • 6.4.1. Documentation
    • 6.4.2. Code
    • 6.4.3. Demo
• 7. References

Indices and tables

• Index
• Module Index
• Search Page