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.
Deliverance / Vengeance taken for kin upon kin. Oliver is a guilty kin. Ethan rescues Oliver. William threatens Oliver and is an avenging kin. Reece is a relative of both.
Self-sacrifice for an ideal / Conflict with a god. Leo is a hero who is forced to sacrifice themselves for an ideal and is a mortal in conflict with the immortal Mckenzie. There is an ideal, and something sacrificed.
The enigma / Crimes of love. Jessica interrogates the mysterious Daisey and commits a crime because of their love for Tyler.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
Involuntary crimes of love / All sacrificed for passion. Isabel is a lover. Ayesha is the beloved. Victoria is the revealer of their crime. There is an object of fatal passion. There is something sacrificed.
Fatal imprudence / Loss of loved ones. Holly is the imprudent and a kin spectator. Oliver is a kin slain. Destiny is the victim and an executioner.
Pursuit / Disaster. James is the punisher and the vanquished power. Isabella is the fugitive and the victorious enemy.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Abduction. Electra is an Abducted. Max is their Guardian. Lyra is an Abductor.
Disaster. Alexandra is the Vanquished Power. Jessica is the Victorious Enemy.
Vengeance taken for kin upon kin. Finley is a relative of both. Ella is a Guilty kin. Nancy is an Avenging kin.
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 / Abduction / Daring enterprise / Rivalry of kin. Sean is an ambitious person and is abducted by Jayden and is a bold leader and is preferred over their kin Jayden. Liam is the guardian of Sean and is an adversary. Jayden is adversaries with Sean and is a rejected kin. There is something coveted, an object of desire, and an object of rivalry.
Pursuit / Enmity of kin / Disaster / Deliverance. Nana hates their kin Archie and was in power but was vanquished by their enemy Archie. Sophie rescues Nana. Archie is a fugitive being chased by Nana and threatens Nana.
Vengeance taken for kin upon kin / The enigma / Falling prey to cruelty or misfortune / Revolt. Kenneth is a guilty kin and interrogates the mysterious Abdirahman and conspires against the tyrant Abdirahman. Esme causes misfortune to fall on Kenneth. Abdirahman is an avenging kin and is a tyrant. Jaimie is a relative of both.
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: Thomas Female: Matilda Gender-neutral: Brody
Male: Leland Female: Gracie Gender-neutral: Charlie
Male: George Female: Jasmine Gender-neutral: Alex
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.
The enigma / Crime pursued by vengeance. Libby interrogates the mysterious Millie. Millie is a criminal pursued by Libby.
Remorse / Crime pursued by vengeance. Rhys is the victim of Luke. Eleanor is an interrogator. Luke is a criminal pursued by Rhys.
Ambition / Pursuit. Libby is an ambitious person. Amirah is adversaries with Libby and is a fugitive being chased by Libby. There is something coveted.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
All sacrificed for passion / Supplication. Abdul is a lover and a supplicant. Penny is a presecutor. Evie is a power in authority whose decision is doubtful. There is an object of fatal passion. There is something sacrificed.
Fatal imprudence / Loss of loved ones. Harrison is the imprudent and a kin spectator. Willow is a kin slain. Lucy is the victim and an executioner.
Revolt / Disaster. Lacie is a conspirator and the vanquished power. Levi is a tyrant and the victorious enemy.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Revolt. Camron is a Conspirator. James is a Tyrant.
Rivalry of superior vs. inferior. Sidney is an Inferior Rival. Brandon is a Superior Rival. There is an Object of Rivalry.
Falling prey to cruelty or misfortune. Jack is an Unfortunate. Isabella is the Master.
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.
Crimes of love / Crime pursued by vengeance / Supplication / Loss of loved ones. Jago commits a crime because of their love for Fergus and is slain by Tyler. Fergus sees the slaying of Jago. Tyler is a criminal pursued by Jago and persecutes Jago. Jayden is a power in authority whose decision is doubtful.
Rivalry of kin / Enmity of kin / Obtaining / Crimes of love. Charlotte is preferred over their kin Bradley and hates their kin Bradley and solicits their adversary Bradley and commits a crime because of their love for Isabella. Bradley is a rejected kin and refuses the solicitation of Charlotte. There is an object of rivalry.
Madness / Necessity of sacrificing loved ones / Rivalry of kin / Recovery of a lost one. Yacoub is has gone insane and is a hero who is forced to sacrifice their beloved Jake and is preferred over their kin Amari and seeks and finds the lost Jake. Amari is the victim of Yacoub and is a rejected kin. There is a necessity for the sacrifice, and 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: Alfie Female: Maisie Gender-neutral: Alexi
Male: Roman Female: Lilian Gender-neutral: Jaden
Male: Joshua Female: Jayda Gender-neutral: Madison
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 / Self-sacrifice for an ideal. Zara is a guilty kin and is a hero who is forced to sacrifice themselves for an ideal. Kyra is an avenging kin. Mathew is a relative of both. There is an ideal, and something sacrificed.
Supplication / Loss of loved ones. Ruth is slain by Joshua. Ewan sees the slaying of Ruth. Joshua persecutes Ruth. Jessica is a power in authority whose decision is doubtful.
The enigma / Rivalry of superior vs. inferior. Jamie interrogates the mysterious Claude. Claude a superior rival to Jamie. There is an object of rivalry.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
Recovery of a lost one / Self-sacrifice for an ideal. Connor is a seeker and a hero. Ted is the one found. There is an ideal. There is something sacrificed.
Discovery of the dishonour of a loved one / Falling prey to cruelty or misfortune. Cerys is the discoverer and an unfortunate. Alfie is the master. Lily is the guilty one.
Falling prey to cruelty or misfortune / Self-sacrifice for kin. Riley is an unfortunate and a hero. Mikey is the master and a kin.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Enmity of kin. Zuzanna is a Hated kin. Isabella is a Malevolent kin.
Remorse. Jack is a Culprit. Louis is an Interrogator. Amelia is a Victim.
An enemy loved. Keira is a Lover. Brooke is the Hater. Katie is the Beloved Enemy.
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.
Remorse / Necessity of sacrificing loved ones / Abduction / Self-sacrifice for kin. Mia is the victim of Ayla and is a hero who is forced to sacrifice their beloved Hayder and is abducted by Ayla and is a hero who sacrifices themselves for their kin Hayder. Hayder is an interrogator and is the guardian of Mia. There is a necessity for the sacrifice.
Rivalry of kin / Fatal imprudence / Deliverance / Adultery. Thomas is preferred over their kin Esme and is the victim of the imprudent Esme and is adulterous with Amelia. Amelia rescues Thomas. Esme is a rejected kin and is the imprudent and threatens Thomas and has been cheated on by their spouse Thomas. There is an object of rivalry.
Abduction / Discovery of the dishonour of a loved one / Enmity of kin / Slaying of kin unrecognized. Megan is abducted by Brody and discovers the guilt of their beloved Brody and hates their kin Brody. Zaki is the guardian of Megan. Brody is slayed, unrecognized, by their kin Megan.
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.
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.
Abduction / Remorse. Chloe is abducted by Bernie and is the victim of Bernie. Charlotte is the guardian of Chloe and is an interrogator.
Rivalry of superior vs. inferior / The enigma. Martha interrogates the mysterious Elliot. Elliot a superior rival to Martha. There is an object of rivalry.
Daring enterprise / Discovery of the dishonour of a loved one. Tristan is a bold leader and discovers the guilt of their beloved Nieve. Blake is an adversary. There is an object of desire.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
Supplication / Remorse. Tia is a supplicant and an interrogator. Crystal is a victim. Miles is a presecutor and a culprit. Hassaan is a power in authority whose decision is doubtful.
Supplication / Murderous adultery. Tony is a supplicant and another adulterer. Aryaan is an adulterer. Douglas is a presecutor and the betrayed partner. Reece is a power in authority whose decision is doubtful.
Abduction / An enemy loved. Maximus is the abducted and a lover. Saule is the guardian and the beloved enemy. Salma is an abductor and the hater.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Fatal imprudence. Maisie is the Victim. Alex is the Imprudent.
Fatal imprudence. Max is the Victim. Sadie is the Imprudent.
Abduction. Ellie is an Abducted. Konrad is their Guardian. Claudia is an Abductor.
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.
Involuntary crimes of love / Obtaining / An enemy loved / Crimes of love. Hannah commits a crime because of their love for Taya and solicits their adversary Louie and is lovers with their enemy Taya and commits a crime because of their love for Taya. Louie is the revealer of their crime and refuses the solicitation of Hannah and hates Hannah.
The enigma / Madness / Crimes of love / Slaying of kin unrecognized. Callum interrogates the mysterious Thomas and is has gone insane and commits a crime because of their love for Amelia. Thomas is the victim of Callum and is slayed, unrecognized, by their kin Callum.
Recovery of a lost one / Fatal imprudence / Conflict with a god / Abduction. Nathan seeks and finds the lost Kyson and is the victim of the imprudent James and is a mortal in conflict with the immortal James and is abducted by James. Kyson is the guardian of Nathan. James is the imprudent.
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: Sulaiman Female: Sophie Gender-neutral: Charlie
Male: Mohammed Female: Maisie Gender-neutral: Levi
Male: Nathan Female: Starr Gender-neutral: Jordan
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.
Supplication / Remorse. Harry is the victim of Rudy. Olivia is an interrogator. Rudy persecutes Harry. Sophia is a power in authority whose decision is doubtful.
Disaster / Discovery of the dishonour of a loved one. Alfie was in power but was vanquished by their enemy Troy and discovers the guilt of their beloved Troy.
Pursuit / Vengeance taken for kin upon kin. Mckenzie is a guilty kin. Mya is a fugitive being chased by Mckenzie and is an avenging kin. Maggie is a relative of both.
Complex situation generation (no relationships)
Similar to my work above, but without attempting to draw any relationships between the characters.
All sacrificed for passion / Deliverance. Maddison is a lover and a rescuer. Kayden is an unfortunate. Ava is a threatener. There is an object of fatal passion. There is something sacrificed.
Rivalry of superior vs. inferior / Revolt. Bonnie is a superior rival and a conspirator. Cameron is an inferior rival and a tyrant. There is an object of rivalry.
Obstacles to love / Necessity of sacrificing loved ones. William is a lover and a beloved victim. Ellie is another lover and a hero. There is an obstacle. There is a necessity for the sacrifice.
Simple situation generation
Nothing more than one of Polti's dramatic situations combined with random names. The most basic story-starter.
Deliverance. Sophie is a Threatener. Owen is a Rescuer. Syed is an Unfortunate.
Remorse. Owen is a Culprit. Zainab is an Interrogator. Henry is a Victim.
Disaster. Keira is the Vanquished Power. Pedro is the Victorious Enemy.
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.
Rivalry of kin / The enigma / Daring enterprise / Abduction. William is preferred over their kin Antonia and interrogates the mysterious Antonia and is a bold leader and is abducted by Antonia. Roma is an adversary and is the guardian of William. Antonia is a rejected kin. There is an object of rivalry, and an object of desire.
The enigma / Ambition / Abduction / Vengeance taken for kin upon kin. Jessica interrogates the mysterious Jack and is an ambitious person and is abducted by Jack and is a guilty kin. Evelyn is the guardian of Jessica. Jack is adversaries with Jessica and is an avenging kin. Harry is a relative of both. There is something coveted.
Pursuit / Adultery / Supplication / Falling prey to cruelty or misfortune. Devon is adulterous with George. George causes misfortune to fall on Devon. Sophie is a fugitive being chased by Devon and has been cheated on by their spouse Devon and persecutes Devon. Molly 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.