We apply Ant Colony Optimization concepts to the problem of finding appropriate reward values after successful task completion in serious games. Our algorithm is deployed within the InLife platform, which leverages the power of serious games augmented with real-world IOT sensors for educational purposes.
Jul 1, 2019
We apply Ant Colony Optimization concepts to the prob- lem of finding appropriate reward values after successful task completion in serious games.
The used principles are that more rewards should go to poorly successful players, more rewards should go to poorly undertaken actions, and it is pointless to ...
The algorithm is deployed within the InLife platform, which leverages the power of serious games augmented with real-world IOT sensors for educational ...
Sep 20, 2019 · In the present paper, we investigated performance of the MAXMIN Ant System, a combinatorial optimization algorithm, with and without human interventions.
Missing: Artificial Rewards
Yann Semet, Bruno Marcon, Konstantinos P. Demestichas, Nikos Koutsouris, Antonio Ascolese: Artificial Ant Colonies for Adaptive Rewards in Serious Games.
Nikos Koutsouris's 4 research works with 21 citations, including: Artificial Ant Colonies for Adaptive Rewards in Serious Games.
behavior of real ants can be used in artificial ant colonies for searching of close-enough solutions mainly to discrete optimization problems. As one of the�...
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In this paper, we propose a new multi-label feature selection method based on Ant Colony Optimization (ACO).
Apr 26, 2010 · There is no research indicating the use of ACO in video game Artificial Intelligence (AI). ... Multi-colony Ant Colony Optimization for the Node ...