Seminar on Human-like Artificial Agents (Winter 2024/25)

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Dates

Tuesdays, 9:00, only on Discord (AUDITORIUM)

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Seminar Terms

• You must attend the seminar regularly (let us know if you can’t attend at least 24 hours prior)
• You must give two presentations on a chosen topic
  • The first is a lecture about a scientific paper that is highly important to your thesis (new requirement this semester)
  • The second is typically a report about the state of your bachelor/master thesis
• You must act as an opponent for one presentation about your colleague’s bachelor/master thesis
• If the need arises, you will have to participate in some experiment (e.g., evaluating software or a project of your colleague)

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Examples of papers to choose from (pick your own)

Paper	Links	Presenter
Analysis of Statistical Forward Planning Methods in Pommerman, Diego Perez Liebana, Raluca Gaina, Olve Drageset, Ercument Ilhan, Martin Balla and Simon Lucas (2019)	Paper
Horswill, I. (2020, October). A Declarative PCG Tool for Casual Users. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (Vol. 16, No. 1, pp. 81-87).	Paper
Ferreira, L., Lelis, L., & Whitehead, J. (2020, October). Computer-generated music for tabletop role-playing games. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (Vol. 16, No. 1, pp. 59-65).	Paper
Bhaumik, Debosmita, et al. “Tree Search versus Optimization Approaches for Map Generation.” Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. Vol. 16. No. 1. 2020.	Paper
Karavolos, D., Liapis, A., & Yannakakis, G. N. (2019). A multi-faceted surrogate model for search-based procedural content generation. IEEE Transactions on Games.	Paper
By, T. (2019). Hexagonal grid numbering. IEEE Transactions on Games.	Paper (MFF subnet)
Steinmetz, E. S., & Gini, M. (2020). More Trees or Larger Trees: Parallelizing Monte Carlo Tree Search. IEEE Transactions on Games.	Paper (MFF subnet)
Daylamani-Zad, D., & Angelides, M. C. (2020). Altruism and Selfishness in Believable Game Agents: Deep Reinforcement Learning in Modified Dictator Games. IEEE Transactions on Games, 13(3), 229-238.	Paper (MFF subnet)
Freiknecht, J., & Effelsberg, W. (2019). Procedural generation of multistory buildings with interior. IEEE Transactions on Games, 12(3), 323-336.	Paper (MFF subnet)
Kim, E. Y., & Ashlock, D. (2019). Testing a Protocol for Characterizing Game Playing Agents Trained via Evolution on a New Game. IEEE Transactions on Games, 12(3), 236-245.	Paper
Baeta, F., Correia, J., Martins, T., & Machado, P. (2021). Speed benchmarking of genetic programming frameworks. arXiv preprint arXiv:2106.11919.	Paper
Tisdale, B., Seals, D., Pope, A. S., & Tauritz, D. R. (2021, June). Directing evolution: the automated design of evolutionary pathways using directed graphs. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 732-740).	Paper
Paolo, G., Coninx, A., Doncieux, S., & Laflaquière, A. (2021). Sparse reward exploration via novelty search and emitters. arXiv preprint arXiv:2102.03140.	Paper
Molin, L. D., Kanwal, J., & Stone, C. (2021, June). Resource availability and the evolution of cooperation in a 3D agent-based simulation. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 93-101).	Paper
Liu, J., Moreau, A., Preuss, M., Rapin, J., Roziere, B., Teytaud, F., & Teytaud, O. (2020, June). Versatile black-box optimization. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 620-628).	Paper
Hevia Fajardo, M. A., & Sudholt, D. (2020, June). On the choice of the parameter control mechanism in the (1+(λ, λ)) genetic algorithm. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 832-840).	Paper
Rajabi, A., & Witt, C. (2020, June). Self-adjusting evolutionary algorithms for multimodal optimization. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 1314-1322).	Paper
Green, M. E., DeLuca, T. F., & Kaiser, K. W. (2020, June). Modeling wildfire using evolutionary cellular automata. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 1089-1097).	Paper
Javaheripi, M., Samragh, M., Javidi, T., & Koushanfar, F. (2020, June). GeneCAI: gene tic evolution for acquiring compact AI. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 350-358).	Paper (MFF subnet)
Do, A. V., Bossek, J., Neumann, A., & Neumann, F. (2020, June). Evolving diverse sets of tours for the travelling salesperson problem. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 681-689).	Paper
Medvet, E., Bartoli, A., De Lorenzo, A., & Fidel, G. (2020, June). Evolution of distributed neural controllers for voxel-based soft robots. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 112-120).	Paper (MFF subnet)
Santana, C., Keedwell, E., & Menezes, R. (2020, June). An approach to assess swarm intelligence algorithms based on complex networks. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 31-39).	Paper
GECCO Proceedings: 2021, 2020	try to find some
IEEE Transactions on Games (journal): 2021 (1, 2, 3), you can check older as well	try to find some
CIG (Conference on Games, originally CIG, Computational Intelligence in Games): 2020, 2019	try to find some
AIIDE (Artificial Intelligence and Interactive Digital Entertainment) Proceedings: 2020, 2019, 2018, you can check older as well	try to find some
IEEE Games, Entertainment, Media conference papers	try to find some
IEEE ICTAI (International Conference on Tools with Artificial Intelligence): 2020, 2019, 2018, you can check older as well	try to find some
ICEC (International Conference on Entertaining Computing) Proceeedings: 2020, 2018, you can check older as well
MIG (Motion in Games): 2021, 2020, 2019, you can check older as well
Everything Procedural conference	try to find some
More venues (via Google Scholar keyword search): “game”, “interactive”, “entertainment”, “game learning”, “interaction” (not everything is related)	try to find some

Structure of the Paper Presentation

1. Summarize what the paper is about, what is its take-home-message (10-15 minutes)
2. Say how is it relevant to your thesis and what you do differently
3. Critically feedback the writing of the paper (5 minutes), e.g.:
   1. They claimed something at the beginning, that they did not deliver;
   2. the hypothesis was clear but the experiment is not designed so it may bring fruitful data;
   3. the data reported, when you try to interpret them, is not supporting the discussion within the paper;
   4. is the experiment replicable?
   5. …

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Structure of the Project-WIP Intro Presentation

1. Quickly mention what your work is about
2. Tell us the motivation behind your work
   1. Why are you pursuing this topic?
   2. What is scientifically exciting about your topic?
   3. What the result should ideally be?
   4. Who can benefit from your work?
3. Describe the state of your work
   1. How are you planning to finish the thesis, what steps are required to deliver it?
   2. What have you done so far and what is before you
4. End the presentation with open challenges or current problems you are facing to spark the discussion

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Seminar Schedule

Date	Note	Presenter
8.10.	introductory lecture
15.10.	Scientific Reading	Dan Juříček
22.10.	Scientific Reading	Igor Minenko
29.10.	cancelled
5.11.	cancelled
12.11.	Scientific Reading	Adrián Kormoš
19.11.	Scientific Reading	Monika
26.11.	Project Presentation	Igor Min
	opponent	Dan Juříček
3.12.	Project Presentation	Monika Bošániová
	opponent	Adrián Kormoš
10.12.	Project Presentation	Adrián Kormoš
	opponent	Monika Bošániová
17.12	Project Presentation	Dan Juříček
	opponent	Igor Minenko