Automated narrative planning model extension

Author:

Porteous JulieORCID,Ferreira João F.,Lindsay Alan,Cavazza Marc

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference65 articles.

1. Amir, E., & Chang, A. (2008). Learning partially observable deterministic action models. Journal of Artificial Intelligence Research, 33(1), 349–402.

2. Bryce, D., Benton, J., & Boldt, MW. (2016). Maintaining evolving domain models. In: Proceedings of the 25th International Joint Conference on AI (IJCAI)

3. Cashmore, M., Fox, M., Long, D., Magazzeni, D., Ridder, B., De Carolis, V., Lane, D., Maurelli F (2015) Dynamically extending planning models using an ontology. In: Proceedings of the 2nd ICAPS Workshop on Planning and Robotics (PlanRob-15)

4. Coman, A., Muñoz-Avila, H. (2011). Generating diverse plans using quantitative and qualitative plan distance metrics. In: Proceedings of 25th AAAI Conference on Artificial Intelligence (AAAI)

5. Cresswell, S., & Gregory, P. (2011). Generalised domain model acquisition from action traces. In: Proceedings of the 21st International Conference on Automated Planning and Scheduling (ICAPS)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sentence-level heuristic tree search for long text generation;Complex & Intelligent Systems;2023-09-29

2. Solution Density and Search Strategy in Narrative Generation;IEEE Transactions on Games;2022-12

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