This is a study in storytelling and morphology, eventually combining Georges Polti's "The Thirty-Six Dramatic Situations" with aspects of Joseph Campbell, David Adams Leeming, and Phil Cousineau's mythology patterns to create story frameworks. The ultimate goal is to study how their pattens could be used interactively to create procedurally-generated, player-driven stories. What you see right now are baby steps, but an important foundation for future work.
Character names are selected from a list provided by The Office for National Statistics, UK (England and Wales, 2009 database).
All stories are randomly generated on refresh.
Complex situation generation (with relationships)
This is where the bulk of my work is going: an attempt to draw more meaningful relationships between characters, based on a crude mix of two (or more) of Polti's dramatic situations. It's often a bit of a mess, but occasionally touches on a bit of brilliance.
I've culled a few of the situations that the algorithm can't quite handle yet. I'm putting them back in as the algorithm becomes more robust.
Vengeance taken for kin upon kin / Fatal imprudence. Millie is a guilty kin and is the victim of the imprudent Frankie. Frankie is an avenging kin and is the imprudent. William is a relative of both.
Deliverance / Crime pursued by vengeance. Ava rescues Marcus. Wen threatens Marcus and is a criminal pursued by Marcus.
Self-sacrifice for kin / Obtaining. Victoria is a hero who sacrifices themselves for their kin Sacha and solicits their adversary Beau. Beau refuses the solicitation of Victoria.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
Falling prey to cruelty or misfortune / Self-sacrifice for an ideal. Jude is an unfortunate and a hero. Toby is the master. There is an ideal. There is something sacrificed.
Slaying of kin unrecognized / Necessity of sacrificing loved ones. Joshua is a slayer and a beloved victim. Ashton is a hero. Courtney is the unrecognized victim. There is a necessity for the sacrifice.
Fatal imprudence / Falling prey to cruelty or misfortune. Ryan is the imprudent and an unfortunate. Lori is the master. Miriam is the victim.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
An enemy loved. Tyler is a Lover. Eesa is the Hater. George is the Beloved Enemy.
Supplication. Hope is a Supplicant. Mairead is a Presecutor. Laith is a Power in authority whose decision is doubtful.
Deliverance. Bailey is a Threatener. Ike is a Rescuer. Max is an Unfortunate.
The same algorithm as the top experiment, but mixing together four plots instead of two. The reason it doesn't really work is because it attempts to draw relationships wherever possible, resulting in entirely too many connections for too few characters. Many of the situations don't work when applied to the same characters, like a slain character still being able to discover something. Sometimes, however, it hits a nice balance by fluke. It's a curious example of the limitations of the current algorithm.
Necessity of sacrificing loved ones / Pursuit / Slaying of kin unrecognized / Madness. Isabella is a hero who is forced to sacrifice their beloved Emma and is has gone insane. Rosie is a fugitive being chased by Isabella and is slayed, unrecognized, by their kin Isabella and is the victim of Isabella. There is a necessity for the sacrifice.
Loss of loved ones / Crime pursued by vengeance / Supplication / Discovery of the dishonour of a loved one. George is slain by Joseph and discovers the guilt of their beloved Joseph. Niall sees the slaying of George. Joseph is a criminal pursued by George and persecutes George. Mateusz is a power in authority whose decision is doubtful.
Remorse / Supplication / Loss of loved ones / Obtaining. Isabel is the victim of Charlotte and is slain by Charlotte and solicits their adversary Charlotte. James is an interrogator and sees the slaying of Isabel. Charlotte persecutes Isabel and refuses the solicitation of Isabel. Matilda is a power in authority whose decision is doubtful.
Name generation
Pulls random names from UK census data, weighted for popular names. Also cross-references the male and female list to find gender-neutral options. It can currently retrieve around 8k unique names.
Male: Kian Female: Ava Gender-neutral: Charlie
Male: Tai Female: Amy Gender-neutral: Tyler
Male: Max Female: Laura Gender-neutral: Jayden
This is a study in storytelling and morphology, eventually combining Georges Polti's "The Thirty-Six Dramatic Situations" with aspects of Joseph Campbell, David Adams Leeming, and Phil Cousineau's mythology patterns to create story frameworks. The ultimate goal is to study how their pattens could be used interactively to create procedurally-generated, player-driven stories. What you see right now are baby steps, but an important foundation for future work.
Character names are selected from a list provided by The Office for National Statistics, UK (England and Wales, 2009 database).
All stories are randomly generated on refresh.
Complex situation generation (with relationships)
This is where the bulk of my work is going: an attempt to draw more meaningful relationships between characters, based on a crude mix of two (or more) of Polti's dramatic situations. It's often a bit of a mess, but occasionally touches on a bit of brilliance.
I've culled a few of the situations that the algorithm can't quite handle yet. I'm putting them back in as the algorithm becomes more robust.
Obstacles to love / Enmity of kin. Joseph is lovers with Kaylah and hates their kin Annie. There is an obstacle.
Adultery / Self-sacrifice for an ideal. Jessica is adulterous with Madison and is a hero who is forced to sacrifice themselves for an ideal. Lily has been cheated on by their spouse Jessica. There is an ideal, and something sacrificed.
Obstacles to love / Disaster. Charlie is lovers with Daisy and was in power but was vanquished by their enemy Frankie. There is an obstacle.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
Discovery of the dishonour of a loved one / Vengeance taken for kin upon kin. Robyn is the discoverer and a guilty kin. Evie is the guilty one and an avenging kin. Arthur is a relative of both.
Slaying of kin unrecognized / Erroneous judgement. Noah is a slayer and the author of the mistake. Myla is a mistaken one. George is the unrecognized victim and a victim of the mistake. Charles is the guilty one.
Obtaining / Revolt. Sonia is a solicitor and a conspirator. Isaac is an adversary who is refusing and a tyrant.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Disaster. Khalil is the Vanquished Power. Sachin is the Victorious Enemy.
Obstacles to love. Bobby is a Lover. Lexie is another Lover. There is an Obstacle.
Erroneous judgement. Gabriella is a Victim of the Mistake. Leon is the Guilty One. Tyler is the Author of the Mistake. Alicja is a Mistaken One.
The same algorithm as the top experiment, but mixing together four plots instead of two. The reason it doesn't really work is because it attempts to draw relationships wherever possible, resulting in entirely too many connections for too few characters. Many of the situations don't work when applied to the same characters, like a slain character still being able to discover something. Sometimes, however, it hits a nice balance by fluke. It's a curious example of the limitations of the current algorithm.
Ambition / Enmity of kin / Conflict with a god / Deliverance. Kalen is an ambitious person and hates their kin Favour and is a mortal in conflict with the immortal Favour. Aaban rescues Kalen. Favour is adversaries with Kalen and threatens Kalen. There is something coveted.
Recovery of a lost one / Falling prey to cruelty or misfortune / Madness / Involuntary crimes of love. Rosie seeks and finds the lost Charlie and is has gone insane and commits a crime because of their love for Charlie. Charlie causes misfortune to fall on Rosie. Tyler is the victim of Rosie and is the revealer of their crime.
Pursuit / The enigma / Madness / Abduction. Emily interrogates the mysterious Olivia and is has gone insane and is abducted by Olivia. Gregory is the guardian of Emily. Olivia is a fugitive being chased by Emily and is the victim of Emily.
Name generation
Pulls random names from UK census data, weighted for popular names. Also cross-references the male and female list to find gender-neutral options. It can currently retrieve around 8k unique names.
Male: Robert Female: Phoenix Gender-neutral: Shiloh
Male: Alexander Female: Amy Gender-neutral: Jayden
Male: Charles Female: Kaia Gender-neutral: Skye
This is a study in storytelling and morphology, eventually combining Georges Polti's "The Thirty-Six Dramatic Situations" with aspects of Joseph Campbell, David Adams Leeming, and Phil Cousineau's mythology patterns to create story frameworks. The ultimate goal is to study how their pattens could be used interactively to create procedurally-generated, player-driven stories. What you see right now are baby steps, but an important foundation for future work.
Character names are selected from a list provided by The Office for National Statistics, UK (England and Wales, 2009 database).
All stories are randomly generated on refresh.
Complex situation generation (with relationships)
This is where the bulk of my work is going: an attempt to draw more meaningful relationships between characters, based on a crude mix of two (or more) of Polti's dramatic situations. It's often a bit of a mess, but occasionally touches on a bit of brilliance.
I've culled a few of the situations that the algorithm can't quite handle yet. I'm putting them back in as the algorithm becomes more robust.
Ambition / Remorse. Zain is an ambitious person and is the victim of Harrison. Gabriel is an interrogator. Harrison is adversaries with Zain. There is something coveted.
Rivalry of superior vs. inferior / Vengeance taken for kin upon kin. Nikodem is a guilty kin. Ali a superior rival to Nikodem and is an avenging kin. Lucas is a relative of both. There is an object of rivalry.
Enmity of kin / Madness. Archie hates their kin Riley and is has gone insane. Riley is the victim of Archie.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
Self-sacrifice for kin / Deliverance. Yasmin is a hero and a rescuer. Raphael is a kin and an unfortunate. James is a threatener.
Crime pursued by vengeance / Pursuit. Kalem is an avenger and the punisher. Aaron is a criminal and the fugitive.
All sacrificed for passion / Fatal imprudence. Muhammad is a lover and the imprudent. Emily is the victim. There is an object of fatal passion. There is something sacrificed.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Rivalry of kin. Reuben is a Preferred kin. Lachlan is a Rejected kin. There is an Object of Rivalry.
Ambition. Jack is an Adversary. Hollie is an Ambitious Person. There is Something Coveted.
Crime pursued by vengeance. Adriana is an Avenger. Leah is a Criminal.
The same algorithm as the top experiment, but mixing together four plots instead of two. The reason it doesn't really work is because it attempts to draw relationships wherever possible, resulting in entirely too many connections for too few characters. Many of the situations don't work when applied to the same characters, like a slain character still being able to discover something. Sometimes, however, it hits a nice balance by fluke. It's a curious example of the limitations of the current algorithm.
Loss of loved ones / Necessity of sacrificing loved ones / Abduction / Murderous adultery. Samuel is slain by Zuzanna and is a hero who is forced to sacrifice their beloved Alexa and is abducted by Zuzanna and is adulterous with Alexa. Alexa sees the slaying of Samuel and is the guardian of Samuel. Zuzanna is the betrayed partner. There is a necessity for the sacrifice.
Abduction / An enemy loved / Crime pursued by vengeance / Fatal imprudence. Ashton is abducted by Salma and is lovers with their enemy Skye and is the victim of the imprudent Salma. Skye is the guardian of Ashton. Salma hates Ashton and is a criminal pursued by Ashton and is the imprudent.
Murderous adultery / Revolt / Discovery of the dishonour of a loved one / Supplication. Abigail is adulterous with Ellie and conspires against the tyrant Ava and discovers the guilt of their beloved Ava. Ava is the betrayed partner and is a tyrant and persecutes Abigail. George is a power in authority whose decision is doubtful.
Name generation
Pulls random names from UK census data, weighted for popular names. Also cross-references the male and female list to find gender-neutral options. It can currently retrieve around 8k unique names.
Male: Theo Female: Jazmine Gender-neutral: Charlie
This is a study in storytelling and morphology, eventually combining Georges Polti's "The Thirty-Six Dramatic Situations" with aspects of Joseph Campbell, David Adams Leeming, and Phil Cousineau's mythology patterns to create story frameworks. The ultimate goal is to study how their pattens could be used interactively to create procedurally-generated, player-driven stories. What you see right now are baby steps, but an important foundation for future work.
Character names are selected from a list provided by The Office for National Statistics, UK (England and Wales, 2009 database).
All stories are randomly generated on refresh.
Complex situation generation (with relationships)
This is where the bulk of my work is going: an attempt to draw more meaningful relationships between characters, based on a crude mix of two (or more) of Polti's dramatic situations. It's often a bit of a mess, but occasionally touches on a bit of brilliance.
I've culled a few of the situations that the algorithm can't quite handle yet. I'm putting them back in as the algorithm becomes more robust.
Recovery of a lost one / Ambition. Taha seeks and finds the lost Amirah and is an ambitious person. Charlie is adversaries with Taha. There is something coveted.
Murderous adultery / Crimes of love. Archie is adulterous with Amir and commits a crime because of their love for Amir. David is the betrayed partner.
Obtaining / Abduction. Benji solicits their adversary James and is abducted by James. Tyler is the guardian of Benji. James refuses the solicitation of Benji.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
Involuntary crimes of love / Rivalry of superior vs. inferior. James is a lover and a superior rival. Betsy is the beloved. Madeline is the revealer of their crime and an inferior rival. There is an object of rivalry.
Vengeance taken for kin upon kin / The enigma. William is a guilty kin and an interrogator. Ruby is an avenging kin and the seeker. Archie is a relative of both.
Falling prey to cruelty or misfortune / All sacrificed for passion. Ivy is an unfortunate and a lover. Yusra is the master. There is an object of fatal passion. There is something sacrificed.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Involuntary crimes of love. Joshua is a Lover. Jaiden is the Revealer of their crime. Ayanna is the Beloved.
Murderous adultery. Zachariah is another Adulterer. Jesse is an Adulterer. Finlay is the Betrayed Partner.
Daring enterprise. Luca is an Adversary. Lucia is a Bold Leader. There is an object of desire.
The same algorithm as the top experiment, but mixing together four plots instead of two. The reason it doesn't really work is because it attempts to draw relationships wherever possible, resulting in entirely too many connections for too few characters. Many of the situations don't work when applied to the same characters, like a slain character still being able to discover something. Sometimes, however, it hits a nice balance by fluke. It's a curious example of the limitations of the current algorithm.
Supplication / Fatal imprudence / Murderous adultery / Self-sacrifice for kin. William is the victim of the imprudent Tyreece and is adulterous with James and is a hero who sacrifices themselves for their kin James. Tyreece persecutes William and is the imprudent and is the betrayed partner. Aamna is a power in authority whose decision is doubtful.
An enemy loved / Conflict with a god / Self-sacrifice for an ideal / Crime pursued by vengeance. Eva is lovers with their enemy Zach and is a mortal in conflict with the immortal Joshua and is a hero who is forced to sacrifice themselves for an ideal. Joshua hates Eva and is a criminal pursued by Eva. There is an ideal, and something sacrificed.
Rivalry of superior vs. inferior / Abduction / Falling prey to cruelty or misfortune / Slaying of kin unrecognized. Tilly is abducted by Nicola. Paige is the guardian of Tilly and causes misfortune to fall on Tilly. Nicola a superior rival to Tilly and is slayed, unrecognized, by their kin Tilly. There is an object of rivalry.
Name generation
Pulls random names from UK census data, weighted for popular names. Also cross-references the male and female list to find gender-neutral options. It can currently retrieve around 8k unique names.
Male: Brooklyn Female: Chloe Gender-neutral: Morgan
This is a study in storytelling and morphology, eventually combining Georges Polti's "The Thirty-Six Dramatic Situations" with aspects of Joseph Campbell, David Adams Leeming, and Phil Cousineau's mythology patterns to create story frameworks. The ultimate goal is to study how their pattens could be used interactively to create procedurally-generated, player-driven stories. What you see right now are baby steps, but an important foundation for future work.
Character names are selected from a list provided by The Office for National Statistics, UK (England and Wales, 2009 database).
All stories are randomly generated on refresh.
Complex situation generation (with relationships)
This is where the bulk of my work is going: an attempt to draw more meaningful relationships between characters, based on a crude mix of two (or more) of Polti's dramatic situations. It's often a bit of a mess, but occasionally touches on a bit of brilliance.
I've culled a few of the situations that the algorithm can't quite handle yet. I'm putting them back in as the algorithm becomes more robust.
Fatal imprudence / Pursuit. Elisabeth is the victim of the imprudent Isaac. Isaac is the imprudent and is a fugitive being chased by Elisabeth.
Ambition / Murderous adultery. Rhys is an ambitious person and is adulterous with Eloise. Chloe is adversaries with Rhys and is the betrayed partner. There is something coveted.
Deliverance / Ambition. Damon is an ambitious person. Louie rescues Damon. Paige threatens Damon and is adversaries with Damon. There is something coveted.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
An enemy loved / Rivalry of kin. Haidar is a lover and a preferred kin. Hannah is the beloved enemy. Harry is the hater and a rejected kin. There is an object of rivalry.
Slaying of kin unrecognized / Loss of loved ones. Sienna is a slayer and a kin spectator. Ava is a kin slain. Ella is the unrecognized victim and an executioner.
Abduction / All sacrificed for passion. Caitlyn is the abducted and a lover. Kai is the guardian. Lewis is an abductor. There is an object of fatal passion. There is something sacrificed.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Conflict with a god. Cameron is a Mortal. Jake is an Immortal.
Revolt. Noah is a Conspirator. Harry is a Tyrant.
Murderous adultery. Kelci is another Adulterer. Liam is an Adulterer. Amber is the Betrayed Partner.
The same algorithm as the top experiment, but mixing together four plots instead of two. The reason it doesn't really work is because it attempts to draw relationships wherever possible, resulting in entirely too many connections for too few characters. Many of the situations don't work when applied to the same characters, like a slain character still being able to discover something. Sometimes, however, it hits a nice balance by fluke. It's a curious example of the limitations of the current algorithm.
Discovery of the dishonour of a loved one / Vengeance taken for kin upon kin / Abduction / An enemy loved. Ethan discovers the guilt of their beloved Megan and is a guilty kin and is abducted by Megan and is lovers with their enemy Keira. Keira is the guardian of Ethan. Megan is an avenging kin and hates Ethan. Sophie is a relative of both.
Revolt / Pursuit / Rivalry of superior vs. inferior / Discovery of the dishonour of a loved one. David conspires against the tyrant Freya and discovers the guilt of their beloved Freya. Freya is a tyrant and is a fugitive being chased by David and a superior rival to David. There is an object of rivalry.
Enmity of kin / Necessity of sacrificing loved ones / Pursuit / The enigma. Emmie hates their kin Emmie and is a hero who is forced to sacrifice their beloved Riley and interrogates the mysterious Emmie. Emmie is a fugitive being chased by Emmie. There is a necessity for the sacrifice.
Name generation
Pulls random names from UK census data, weighted for popular names. Also cross-references the male and female list to find gender-neutral options. It can currently retrieve around 8k unique names.
Male: Callum Female: Lexi Gender-neutral: Ellis
Male: Joshua Female: Rosie Gender-neutral: Ashton
Male: Lewis Female: Victoria Gender-neutral: Charley