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Mixed Narrative and Dialog Content Planning Based on BDI Agents

Developing an automated narrative system that generates creative storylines and meaningful character interactions. Using MAS of BDI agents with focus on dialog content planning.

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Mixed Narrative and Dialog Content Planning Based on BDI Agents

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  1. Carlos León Aznar Samer Hassan Collado Pablo Gervás Juan Pavón Mestras Mixed Narrative and Dialog Content Planning Based on BDI Agents CAEPIA 2007 Universidad Complutense de Madrid Acknowledgments. This work has been developed with support of the projects TIN2006-14433-C02-01 and TIN2005-08501-C03-01, funded by the Spanish Council for Science and Technology.

  2. CAEPIA 2007 Contents • Objective • The initial MAS • New context & BDI • Storytelling: Content planning • Example • Future work

  3. CAEPIA 2007 Objective • Storytellingnarrative systems try to automatically generate a creative story in natural language • Dialogs carry much information not present in simple narrative text • The system proposed: • creates stories with focus on character interactions, based on communication between the characters • addresses content planning for dialogs together with narrative text

  4. CAEPIA 2007 Objective • For achieving this aim, the work is divided in two modules: • MAS of BDI agents that simulate social interaction, generating the contents for the story • An automatic story generation module, that receives the set of facts happened in the simulation, and creates a textual representation of the main events

  5. CAEPIA 2007 Contents • Objective • The initial MAS • New context & BDI • Storytelling: Content planning • Example • Future work

  6. CAEPIA 2007 The initial MAS • Agent Based Social Simulation system • Each agent is an individual with attributes and relations • The original system has a sociological context in postmodern Spain

  7. CAEPIA 2007 The initial MAS • Agent/Individual: • Agent attributes: ideology, religiosity, economic class, age, sex… • Different behaviour while life cycle: youth, adult, old • Demographic micro-evolution: couples, reproduction, inheritance • World: • Demographic model • Network relationships: • Friends groups • Relatives

  8. CAEPIA 2007 Contents • Objective • The initial MAS • New context & BDI • Storytelling • Content planning • Example • Future work

  9. CAEPIA 2007 Adapting the system for a new context • Modern social systems can be boring for storytelling • Fantasy Medieval World is more interesting • Personification of the characters: name, race, inheritable last name • Deron Cairnbreaker, the Elf • New semantic of the facts • Death  Betrayed, accident, poisoned… • Relation  Enemy, friend, love… • Introduction of life events • Killing dragons • Suffer several spells • Finding treasures in dangerous dungeons

  10. CAEPIA 2007 Deep changes in agent architecture • The idea is to make the agents evolve in time internally • Agents’ characteristics will now change depending on the events: treasure  economy increasing • From simple cellular automata to BDI agent: • Believes: represent the knowledge of the agent about his world - “What I know and believe” • Desires (objectives): represent the state that the agent is trying to reach - “What I want” • Intentions (plans): the means that the agent choose to accomplish its objectives - “What I am going to do”

  11. CAEPIA 2007 BDI model • With the BDI model, each agent is “more intelligent”, taking its own decisions, and building a real story • D  Ask for info  success?  Dialog  new B  enough?  generation I’s associated  try to execute those events  if D satisfied, delete D • There are several D’s in each agent, so it’s not linear • Agents’ planning is quite simple, but enough for the prototype to generate coherent and linked content

  12. CAEPIA 2007 Contents • Objective • The initial MAS • New context & BDI • Storytelling: Content planning • Example • Future work

  13. CAEPIA 2007 Text generation • This process takes place in several stages: • Content planning: concepts that will appear in the final content are decided and organised into a specific order and structure • Sentence planning: each message resulting from the previous stage is progressively enriched with all the linguistic information required to realize it • Surface realization: assembles all the relevant pieces into linguistically and typographically correct text

  14. CAEPIA 2007 Content Planning • The module is mainly centred around content planning • Imports XML log from ABSS • While importing, the facts are related by time or cause relations • Dialogs are handled as other facts, so both can be mixed • The discourse is created based on a state space search: backtracking algorithm that explores the solution space, by creating different stories, using relations between statements as operators

  15. CAEPIA 2007 Content Planning • Many possible stories are generated • For selecting one, objectives are defined: • Linearity of the text: level of sequentiality • Theatricality: porcentage of dialog parts • Causality: importante of cause-effect relations • The most similar story to the objective will be the chosen one

  16. CAEPIA 2007 Contents • Objective • The initial MAS • New context & BDI • Storytelling: Content planning • Example • Future work

  17. CAEPIA 2007 Example It was an elf. And His name was Deron. And His last name was Cairnbreaker. And Deron Cairnbreaker desired to become a great wizard. After that, the spell of memory was cast upon Deron Cairnbreaker. Because of that, its education decreased. After that, Deron Cairnbreaker and Parbagar Greatcutter talked: - Do you know who has the one ring? - Yes, I can tell you who has the one ring - said Deron Cairnbreaker, and he told him where. - Are you sure? Then I’ll go and talk with him. - said Parbagar Greatcutter - Farewell. Before that, Deron Cairnbreaker and Georgia Houston talked: - Do you know where can I find another wizard? - Yes, I do. I will tell you. - said Deron Cairnbreaker. Then, Deron Cairnbreaker showed the place. - Ok, now I have this useful information. - said Georgia Houston - Thank you!

  18. CAEPIA 2007 Contents • Objective • The initial MAS • New context & BDI • Storytelling: Content planning • Example • Future work

  19. CAEPIA 2007 Future work • Next logical step: introducing agents negotiation • Improving BDI complexity: • complex rules • certainty, intensity, success • Connecting NLP module with proper sentence planning and surface realization modules

  20. CAEPIA 2007 Thanks for your attention! Carlos León, Samer Hassan, Pablo Gervás, Juan Pavón samer@fdi.ucm.es Dep. Ingenieria del Software e Inteligencia Artificial Universidad Complutense de Madrid

  21. CAEPIA 2007 Contents License • This presentation is licensed under a Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/3.0/ • You are free to copy, modify and distribute it as long as the original work and author are cited

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