Modeling Creativity: Case Studies in Python (PDF)
✒️ By Tom D. De Smedt
Dive into ‘Modeling Creativity: Case Studies in Python’ and discover how coding can spark innovation. This book blends real-world examples with Python, making creative problem-solving feel less like work and more like play. Whether you’re new to programming or already a Python enthusiast, you’ll find practical insights and inspiration for your next big idea.
Contents of the Book
NATURE
- Blind creativity
- Evolution by natural selection
- EVOLUTION: genetic algorithm + competition
- Evolutionarily stable strategy (ESS) and cooperation
- Complex systems and emergent behavior
- Artificial life
- Discussion
Generative art
- Brief history
- Overview of software for generative art
- NodeBox
- NodeBox case studies
- Discussion
PART 2 — THE MIND
Brain-computer interfaces
- EEG wireless headset
- EEG affective visualization
- Discussion
Human creativity
- Creativity
- Inspiration
- Intuition and insight
- A concept search space
- Imagination and metaphor
- Creative thinking test
- Discussion
Computational creativity
- FLOWEREWOLF: alliterative adjectives
- PERCEPTION: semantic network of common sense
- Discussion
PART 3 — LANGUAGE
Computational linguistics
- Natural language processing
- MBSP for Python
- Machine learning
- Pattern for Python
- A Mad-Tea Party (creative thinking test revisited)
- Discussion
Sentiment Analysis
- A subjectivity lexicon for Dutch adjectives
- Sentiment analysis for political discourse
- Discussion
Closing Sections
- Conclusions
- Appendix
- Bibliography
- Index
Book Description
Ever wondered how creativity works? ‘Modeling Creativity: Case Studies in Python’ by Tom D. De Smedt unpacks the secrets. It mixes the logic of programming with the unpredictability of human imagination. Using Python, the book guides you through hands-on projects that make you think, “Hey, I could do this!” If you’ve ever wanted to see code create poetry or art, you’re in for a treat.
Book Overview
This book isn’t just about dry theory. Instead, it dives into playful experiments and real case studies. You’ll see how algorithms mimic creative thinkingsometimes with hilarious results! Each chapter breaks down a concept, then invites you to test it out yourself. The author keeps things light but informative, which is honestly refreshing. If you want to compare approaches, check out how data modeling is tackled in other Python booksit’s a neat side quest.
Why Read This Book
If you’re tired of dry programming manuals, this one will shake things up. The blend of code and creativity is rare, and it’s honestly fun to follow along. The book makes abstract ideas concrete by showing you exactly how creative tasks can be modeled with Python scripts. Plus, it’s not afraid to get a little weird (in the best way). Think of it as your backstage pass to the show where computers try to be artists.
Who This Book Is For
Are you a coder who wishes they were more creative? Or maybe an artist who wants to dabble in tech? This book is perfect for students, hobbyists, teachersreally anyone who’s curious about both programming and creativity. No need to be a Python pro; the author explains everything clearly and with a sense of humor. If you’re looking for more on this topic, exploring other modeling resources in PDF format might be right up your alley too.
What You Will Learn
- The basics of modeling creative processes using Python
- How algorithms can simulate artistic tasks like writing or drawing
- Hands-on coding exercises that spark your own ideas
- Ways to combine data science with art and literature
- Techniques for analyzing and generating new creative works
- Fun case studies that make complex concepts easy to grasp
- How to apply these methods to your own projectsno matter your background!
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