MKULTRA (Demo)

Horswill, Ian

doi:10.1609/aiide.v11i1.12776

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Prolog-like reasoners are incorporated into research projects like MKULTRA [4] and commercial games like Project Highrise and City of Gangsters using custom C# reasoner engines [5] for improved compatibility and performance, albeit with limited control and expressiveness compared to Prolog. The ThinkEngine framework is developed by [6] to interface declarative Answer Set Programming (ASP) modules to a game engine via their EmbASP library.…”

Section: Related Workmentioning

confidence: 99%

Non-Player Character Decision-Making With Prolog and Ontologies

Lapeyrade,

Rey

2023

2023 IEEE Conference on Games (CoG)

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This paper proposes a new approach to non-player character (NPC) decision-making in games using a Prolog and ontologies declarative approach, addressing limitations of traditional techniques such as flexibility and maintainability. We implement a more complex Unity version of the Wumpus World to show our method's effectiveness and its potential to facilitate game AI design and prototyping. Our approach can achieve the same results as the classical methods without having to hard-code all the transitions between each possible game situation.

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Section: Related Workmentioning

confidence: 99%

Non-Player Character Decision-Making With Prolog and Ontologies

Lapeyrade,

Rey

2023

2023 IEEE Conference on Games (CoG)

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“…In Talk of The Town (Ryan et al 2015) -a historical, social simulation -characters can reason about their held beliefs; these beliefs are mutable and affected by various elements such as a character's memory and social network. Horswill's system MK ULTRA (Horswill 2015(Horswill , 2018 allows players to inject false beliefs in NPCs, manipulating their knowledge bases to accomplish player goals and solve puzzles. Versu (Evans and Short 2013) -an episodic storytelling simulation -utilizes a model of belief in which characters share a public view of the world and specific instances of individualized beliefs; these beliefs inform goals that can cause a significant change in the narrative.…”

Section: Belief Modeling In Social Simulation Gamesmentioning

confidence: 99%

Modeling Morality-Based Argumentation for Believable Game Characters: A Design Postmortem

AlJammaz,

Mateas,

Wardrip-Fruin

2023

AIIDE

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An ability to morally reason is crucial to the believability of many fictional characters, from Jane Austen’s heroines to the denizens of The Good Place. These works often foreground the complexity of moral questions and the circumstances un- der which different forms of behavior might be justified. Morality is also foregrounded in many games, from Black and White to Mass Effect 3. Yet, most in-game characters judge other characters (or the player) based on a single reputation scale or binary values of right and wrong. There has been little exploration in games of the relationship between char- acter values and beliefs and moral reasoning. In keeping with this year’s conference theme, “Oh the Humanity,” this design postmortem paper describes the design and development of Argument Box, a model of moral argumentation and reason- ing based on Lakoff’s metaphor theory of moral politics. We describe our design approach, iterations, and authoring con- cerns — covering what went right and wrong in our attempts to model morality-based argumentation for believable game characters.

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“…This makes them more difficult to use compared to behaviour trees or state machines that can be directly created from popular game engines. This is why, despite some attempts, including that of (Horswill 2015) and (Wright and Marshall 2000), they are not very common. The issue does not seem to be the quality of the approach but the handling of the algorithm.…”

Section: Rules-based Systemsmentioning

confidence: 99%

Reasoning with Ontologies for Non-player Character’s Decision-Making in Games

Lapeyrade

2022

AIIDE

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In most games, the decision-making of non-player characters (NPCs) is usually constructed using variants of state machines, behaviour trees, utility-based AI or planning. These methods are relatively simple to implement, but have drawbacks in that it can be difficult to create complex non-hard-coded behaviour for many agents and to maintain the algorithms, especially when scaling up. Game designers usually think of their games with rules that closely resemble logic rules. A methodology is introduced to design both general and modular behaviour using a logic reasoner with hierarchical ontologies. This approach is combined with the well-founded semantics (WFS) to solve the problem of representation and reasoning despite the lack of NPC knowledge.

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MKULTRA (Demo)

Cited by 3 publications

References 3 publications

Non-Player Character Decision-Making With Prolog and Ontologies

Non-Player Character Decision-Making With Prolog and Ontologies

Modeling Morality-Based Argumentation for Believable Game Characters: A Design Postmortem

Reasoning with Ontologies for Non-player Character’s Decision-Making in Games

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