Spam Novel

[jeffThompson]

Year two, second generated novel.

[wordsmythe]

Sounds really fun!

On Sun, Nov 2, 2014 at 7:07 AM, Jeff Thompson notifications@github.com
wrote:

Some plans, hatched mostly while sitting through a very long, very boring
meeting.

A set of randomized characters, each with a house in a particular
landscape and a set of personality and biological "genes". Each house is
placed randomly in a 2D grid and a map of various terrain is grown from
those seeds. The landscape will be a large island, to avoid them running
off the map.

Over the course of the novel, the characters wander via set but randomized
patterns. They can interact with the landscape, get and run low on food and
water, bump into each other, etc. Their genes reflect their past and
current conditions, and are mutated over time.

In many ways, this is a larger version of @DungeonBot
http://www.twitter.com/dungeonbot, who wanders an infinite 2D dungeon.
The character's sentiment slowly changes (over a period of a year or two)
from generally optimistic to completely forlorn.

Genes might include:

• N previous terrain they've been on ("I'm wet and tired" if they've
  been slogging through a swamp)
• Hunger, thirst
• Miles walked
• Weather conditions (also mutating over time)
• The sentiment of recent interactions (det. through sentiment
  analysis)
• Preexisting personality traits (a generally positive or negative
  outlook, etc)
• Health

(Genes represented as binary strings encoding numerical states.)

Ideas on format and output:

• I imagine the output being images of the map with character
  positions, plus the text.
• Characters' speech might be pulled as Markov chains from novels with
  similar sentiments and/or outlook.
• Characters start as babies? Parent's personalities, situation,
  parenting, etc effect's character's development and future state.
• Terrain shapes initial personality?

—
Reply to this email directly or view it on GitHub
#21 (comment)
.

[jeffThompson]

Alright, I had an overly ambitious plan that was never going to happen. So...

I pulled approximately 60k spam comments from my blog and used them to generate a text. Nothing too fancy:

• Markov-chain for sentence generation
• Randomized sentences, punctuation, and chapters
• Lots of after-the-fact-cleanup and formatting
• A little manual cleanup for formatting to PDF

A sample paragraph:
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And another:
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Full PDF is here, project repo is here.