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The paper reports on an experiment, in which a Knowledge-Based Reinforcement Learning (KB-RL) method was compared to a Neural Network (NN) approach in solving a classical Artificial Intelligence (AI) task.
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Cannady, J.: Artificial Neural Networks for Misuse Detection. In: NATIONAL INFORMATION SYSTEMS SECURITY CONFERENCE. pp. 443–456 (1998)
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Sutton, R.S., Barto, A.G.: Introduction to Reinforcement Learning. MIT Press, Cambridge, MA, USA, 1st edn. (1998)
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Reed, R., Marks, R.: Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks. Bradford book, MIT Press (1999)
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Kołcz, A., Chowdhury, A., Alspector, J.: Data duplication: an imbalance problem? In: In Proceedings of the ICML’2003 Workshop on Learning from Imbalanced Datasets (2003)
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A. Houk, P.: A Strategic Game Playing Agent for FreeCiv. Master’s thesis, Northwestern University, Illinois, United States (2004)
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Avram, G.: Empirical study on knowledge based systems. The Electronic Journal of Information Systems Evaluation 8
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Jones, J., Goel, A.: Knowledge Organization and Structural Credit Assignment. In: In Proc. IJCAI-05 Workshop on Reasoning, Representation and Learning in Computer Games. Edinburgh, UK (08 2005)
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Abdullah, M.S., Kimble, C., Benest, I., Paige, R.: Knowledge‐based systems: a re‐evaluation. Journal of Knowledge Management 10
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Arnold, F., Horvat, B., Sacks, A.M.: FreeCiv Learner : A Machine Learning Project Utilizing Genetic Algorithms (2007)
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Haykin, S.: Neural Networks: A Comprehensive Foundation (3rd Edition). Prentice-Hall, Inc., Upper Saddle River, NJ, USA (2007)
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Hinrichs, T., Forbus, K.: Analogical learning in a turn-based strategy game. IJCAI International Joint Conference on Artificial Intelligence pp. 853–858 (12 2007)
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Ulam, P., Goel, A., Jones, J., Murdock, W.: Using model-based reflection to guide reinforcement learning. In: In Fourth AAAI Conference on AI in Interactive Digital Entertainment (2008)
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Akerkar, R., Sajja, P.: Knowledge-Based Systems. Jones and Bartlett Publishers, Inc., USA, 1st edn. (2009)
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Jones, J., Goel, A.K.: Metareasoning for adaptation of classification knowledge. In: AAMAS (2009)
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Navarro, H., Bennun, L.: Descriptive examples of the limitations of Artificial Neural Networks applied to the analysis of independent stochastic data. International Journal of Computer Engineering and Technology 5
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Oravec, J.A.: Expert systems and knowledge-based engineering (1984-1991). International Journal of Designs for Learning 7
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Bologna, G., Hayashi, Y.: A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs. Applied Computational Intelligence and Soft Computing 2018
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Jones, J., Parnin, C., Sinharoy, A., Rugaber, S., Goel, A.K.: Adapting Game-Playing Agents to Game Requirements. In: Proc. Fifth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-09). pp. 148–153 (2009)
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Lucas, P.: Expert Systems. In: Kok, J.N. (ed.) Encyclopedia of Life Support Systems (EOLSS), pp. 328–356. Eolss Publishers, Paris (2009)
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Mitrea, C., Lee, C., Wu, Z.: A Comparison between Neural Networks and Traditional Forecasting Methods: A Case Study. International Journal of Engineering Business Management 1
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Watson, I., Azhar, D., Chuyang, Y.T., Pan, W., Chen, G.: Optimization in Strategy Games : Using Genetic Algorithms to Optimize City Development in FreeCiv (2009). https://doi.org/10.1.1.567.7035, dOI: 10.1.1.567.7035
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Hinrichs, T., Forbus, K.: Toward Higher-Order Qualitative Representations. In: Proceedings of QR 2012 (2012)
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Gilpin, L.H., Bau, D., Yuan, B.Z., Bajwa, A., Specter, M., Kagal, L.: Explaining Explanations: An Overview of Interpretability of Machine Learning. 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA) pp. 80–89 (2018)
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Tseng, H.H., Luo, Y., Haken, R.T., Naqa, I.E.: The Role of Machine Learning in Knowledge-Based Response-Adapted Radiotherapy. In: Front. Oncol. (2018)
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Hinkelmann, K., Ahmed, S., Corradini, F.: Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks - A Survey. In: AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2019)
2019
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Kumar, R., Srivastava, S., Gupta, J.R., Mohindru, A.: Comparative Study of Neural Networks for Dynamic Nonlinear Systems Identification. Soft Comput. 23
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Lécué, F.: On the role of knowledge graphs in explainable AI. In: Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-located with the 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 27, 2019. p. 29 (2019)
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Nechepurenko, L., Voss, V.: FreeCiv games for the experiment on comparing Knowledge-Based Reinforcement Learning and Neural Networks in Strategic Games (2019)
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Voss, V., Nechepurenko, L.: FreeCiv games played by Knowledge-based Reinforcement Learning (2019). https://doi.org/10.5281/zenodo.3266624, dOI: 10.5281/zenodo.3266624
2019
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