IEICE TRANSACTIONS on Information
Tracing Werewolf Game by Using Extended BDI Model
Summary :
The Werewolf game is a kind of role-playing game in which players have to guess other players' roles from their speech acts (what they say). In this game, players have to estimate other players' beliefs and intentions, and try to modify others' intentions. The BDI model is a suitable one for this game, because it explicitly has notions of mental states, i.e. beliefs, desires and intentions. On the other hand, in this game, players' beliefs are not completely known. Consequently, in many cases it is difficult for players to choose a unique strategy; in other words, players frequently have to maintain probabilistic intentions. However, the conventional BDI model does not have the notion of probabilistic mental states. In this paper, we propose an extension of BDI logic that can handle probabilistic mental states and use it to model some situations in the Werewolf game. We also show examples of deductions concerning those situations. We expect that this study will serve as a basis for developing a Werewolf game agent based on BDI logic in the future.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.12 pp.2888-2896
- Publication Date
- 2017/12/01
- Publicized
- 2017/09/15
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016AGP0004
- Type of Manuscript
- Special Section PAPER (Special Section on Frontiers in Agent-based Technology)
- Category
- Information Network
Authors
Naoyuki NIDE
Nara Women's University
Shiro TAKATA
Kindai University
Keyword
Latest Issue
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Naoyuki NIDE, Shiro TAKATA, "Tracing Werewolf Game by Using Extended BDI Model" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 12, pp. 2888-2896, December 2017, doi: 10.1587/transinf.2016AGP0004.
Abstract: The Werewolf game is a kind of role-playing game in which players have to guess other players' roles from their speech acts (what they say). In this game, players have to estimate other players' beliefs and intentions, and try to modify others' intentions. The BDI model is a suitable one for this game, because it explicitly has notions of mental states, i.e. beliefs, desires and intentions. On the other hand, in this game, players' beliefs are not completely known. Consequently, in many cases it is difficult for players to choose a unique strategy; in other words, players frequently have to maintain probabilistic intentions. However, the conventional BDI model does not have the notion of probabilistic mental states. In this paper, we propose an extension of BDI logic that can handle probabilistic mental states and use it to model some situations in the Werewolf game. We also show examples of deductions concerning those situations. We expect that this study will serve as a basis for developing a Werewolf game agent based on BDI logic in the future.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016AGP0004/_p
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@ARTICLE{e100-d_12_2888,
author={Naoyuki NIDE, Shiro TAKATA, },
journal={IEICE TRANSACTIONS on Information},
title={Tracing Werewolf Game by Using Extended BDI Model},
year={2017},
volume={E100-D},
number={12},
pages={2888-2896},
abstract={The Werewolf game is a kind of role-playing game in which players have to guess other players' roles from their speech acts (what they say). In this game, players have to estimate other players' beliefs and intentions, and try to modify others' intentions. The BDI model is a suitable one for this game, because it explicitly has notions of mental states, i.e. beliefs, desires and intentions. On the other hand, in this game, players' beliefs are not completely known. Consequently, in many cases it is difficult for players to choose a unique strategy; in other words, players frequently have to maintain probabilistic intentions. However, the conventional BDI model does not have the notion of probabilistic mental states. In this paper, we propose an extension of BDI logic that can handle probabilistic mental states and use it to model some situations in the Werewolf game. We also show examples of deductions concerning those situations. We expect that this study will serve as a basis for developing a Werewolf game agent based on BDI logic in the future.},
keywords={},
doi={10.1587/transinf.2016AGP0004},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Tracing Werewolf Game by Using Extended BDI Model
T2 - IEICE TRANSACTIONS on Information
SP - 2888
EP - 2896
AU - Naoyuki NIDE
AU - Shiro TAKATA
PY - 2017
DO - 10.1587/transinf.2016AGP0004
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2017
AB - The Werewolf game is a kind of role-playing game in which players have to guess other players' roles from their speech acts (what they say). In this game, players have to estimate other players' beliefs and intentions, and try to modify others' intentions. The BDI model is a suitable one for this game, because it explicitly has notions of mental states, i.e. beliefs, desires and intentions. On the other hand, in this game, players' beliefs are not completely known. Consequently, in many cases it is difficult for players to choose a unique strategy; in other words, players frequently have to maintain probabilistic intentions. However, the conventional BDI model does not have the notion of probabilistic mental states. In this paper, we propose an extension of BDI logic that can handle probabilistic mental states and use it to model some situations in the Werewolf game. We also show examples of deductions concerning those situations. We expect that this study will serve as a basis for developing a Werewolf game agent based on BDI logic in the future.
ER -
English
