Open Universiteit

Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/9241
Title: Adaptation and Assessment (TwoA) asset in C# (v1.2)
Authors: Nyamsuren, Enkhbold
Keywords: automatic game adaptation
stealth assessment
adaptation algorithm
RAGE
Issue Date: 23-Mar-2017
Citation: Nyamsuren, E. (2017). Adaptation and Assessment (TwoA) asset in C# (version 1.2) [Software]. Heerlen, The Netherlands: Open Universiteit. Available under the Apache License, Version 2.0 from https://github.com/rageappliedgame/HatAsset
Abstract: Developed within the RAGE project funded by EU within Horizon2020 program. This asset enables a real-time automatic adaptation of game difficulty to player's expertise level. The adaptation algorithm makes use of a stealth assessment algorithm that assigns difficulty ratings and expertise ratings to the players and the game modules respectively. The asset tracks changes in these ratings allowing assessment of players' learning progress either by players themselves or by instructors. This is the version written in C# language. Version 1.2 includes considerable extensions to the TwoA functionalities: • API for building scenario dependency graphs • An improved scenario selection algorithm • The second module for adaptation and assessment based on continuous accuracy only • Extended parameter setting API
Description: RAGE products are licensed under the Apache License, Version 2.0 (the "License"). See the License for the specific language governing permissions and limitations under the License: http://www.apache.org/licenses/LICENSE-2.0
URI: https://github.com/rageappliedgame/HatAsset
https://github.com/rageappliedgame/HatAsset/tree/1b9b82c777ac48d97bdb8868f1488819d6bb5d52
http://hdl.handle.net/1820/9241
Appears in Collections:4. RAGE Products

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