Prolog and natural-language analysis
Prolog and natural-language analysis
Journal of Artificial Intelligence in Education
AI planning: a prospectus on theory and applications
ACM Computing Surveys (CSUR)
Space-efficient search algorithms
ACM Computing Surveys (CSUR)
Multiagent systems: an emerging subdiscipline of AI
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
A formal model for simple narratives
A formal model for simple narratives
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Artificial Intelligence seeks to simulate human reasoning abilities on a computer. Humans make sense of their environment by organizing past events into a narrative story. For a computer to do this, it must be able to recognize the form of a narrative and then give meaning to the events that take place within its model of the world. Narrative intelligence is the subfield of AI that seeks to automate this process. After a narrative has been identified, an AI system must use theories of causality to connect current states and events to one another. Once a coherent chain of events is created, they are put together to form the narrative. One such example of a system that does this is the Joseph Story Generation System. It takes a provided world model (in our case the world of Russian Folklore) and generates random stories by the application of a story grammar that we have designed. This is what we will be using to further our theories of knowledge representation, narrative intelligence, and causality.