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Wen-Chi Yang
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Proceedings Papers
. isal2023, ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference8, (July 24–28, 2023) 10.1162/isal_a_00577
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Different perception fields can result in varying behavioural strategies, collective behaviour, or ecological niches. However, limited research has been conducted on the effect of different perception fields within the same species, except for a few computer simulations that may not accurately reflect animals’ real reactions. This study aims to investigate the effect of different perception fields within the same species by attempting to expand goldfish’s perception of their blind zone. A blue circle was used as a visual signal to indicate the presence of another fish in the blind zone of the subject fish, and the response of the subject fish was recorded. Three experiments, namely the benchmark, main, and comparison experiments, were designed to determine whether this artificial visual signal could extend the goldfish’s perception fields. The results demonstrated that in the experiment with this artificial signal (main experiment), the situation that other fish appearing in the blind zone of the subject fish were significantly fewer compared to the experiment with random signals (comparison experiment) or no signals (benchmark experiment). These findings suggest that goldfish may be able to recognise the meaning of the artificial signal in the main experiment and use it to expand their perception and coordinate their actions accordingly.
Proceedings Papers
. isal2023, ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference86, (July 24–28, 2023) 10.1162/isal_a_00578
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Animals’ escaping behavior can be seen as an economic game between predation risk and foraging cost, which is measured by flight distance in the standard deterministic model. However, this fight distance should not be constant even in a stationary environment because it will also be affected by the predator’s parameters. In order to better understand animal’s escaping behavior, this paper investigates goldfish escaping strategies on the relevant position against a toy submarine in quantification, and further proposed a probabilistic model over the factors that influence the probability to escape. This research has determined goldfish’s hyperparameters in their escaping habits based on recording data and found that the flight distance is not only influenced by the risk and cost in previous research but also the approaching direction between goldfish and predator and approaching speed. The proposed probabilistic model shows that flight distance generally increases with the predator’s approaching speed and the extent of approaching direction against the vertical plane. The proposed model is finally cross-validated with the true video clip.
Proceedings Papers
. isal2023, ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference87, (July 24–28, 2023) 10.1162/isal_a_00579
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The development of perception augmentation technology provides great opportunities to cross species’ boundaries and create intimacy. Technologies such as virtual reality (VR) are proving to be powerful tools for expanding human capabilities and perception. However, challenges and potentiality still remain when applying these technologies to other social animals. Therefore, we designed four experiments to simulate different levels of VR augmentation, different in perception, interaction and immersion, to investigate the effects of such visual stimuli on Goldfish’s social and individual behaviours. Results have shown that the change in the level of VR augmentation had a significant effect on both the social and individual behaviours of the subject fish. With visual perception alone, fish can still distinguish the different levels of VR augmentation, and react to them to different extents, rather than simply ignore the conspecifics with less realism. These findings mean Goldfish are able to conceive and utilize VR technology and have the potential to eventually be a part of the cross-species Metaverse.
Proceedings Papers
. isal2020, ALIFE 2020: The 2020 Conference on Artificial Life605-613, (July 13–18, 2020) 10.1162/isal_a_00343
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Several teaching methodologies have been developed to enhance student engagement in a classroom, and a reward structure to evaluate and encourage students is a standard component. However, rewarding a student not only motivates the recipient but also raises social comparison in a classroom. While this concern has long been expressed, empirical studies are limited due to the lack of variety in realistic cases. In this work, we construct an artificial society to investigate the utilities of different reward structures undergoing students’ social comparisons. The proposed complex system follows Adams's equity theory that student agents who feel unfair will reduce their engagement levels and vice versa. Through a series of simulations, we propose three inferences from the findings. First, rewarding students proportional to their classroom performance is adequate to obtain a high engagement level of most students, whereas some students’ achievements considerably fall behind. Secondly, rewarding students by their engagement levels can be seriously harmful to the performance of high-ability students in our model. Lastly, if students can be guided to compare with peers of similar abilities, equally rewarding students then becomes the optimal scheme for both students and educators. Our theoretical approach reveals the potential of computational modeling on the analysis of complex student behavior and brings in further validation issues on the other hand.