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Evaluating Reader Comprehension of Plan-Based Stories Containing Failed Actions 18

Evaluating Reader Comprehension of Plan-Based Stories Contai...

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18th AAAI Conference on Artificial Intelligence and Interactive Digital entertainment, AIIDE 2022

作者： Sanghrajka, Rushit Young, R. Michael School of Computing University of Utah Salt Lake CityUT United States Entertainment Arts and Engineering Program University of Utah Salt Lake CityUT United States

ISBN: (纸本)1577358775

A growing number of algorithms for story planning include the ability to create stories with failed actions – in particular failed actions that occur because of the mistaken beliefs of the characters attempting them. To date, most of these systems have been evaluated analytically, primarily by comparing their expressive range to prior story generation systems. Empirical evaluation of these systems has been preliminary. In this paper, we outline a general comprehension-based approach to the evaluation of plan-based story generation. We describe how we specialize it for use evaluating story plans containing failed actions, and we describe the design and results of an experiment using this approach to evaluate plot lines produced by HEADSPACE, a system that models the beliefs of characters and uses that model to generate plot lines containing actions that are attempted but that fail. Copyright © 2022, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

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MULTISTYLE: Characterizing Multiplayer Cooperative Gameplay by Incorporating Distinct Player Playstyles in a Multi-Agent Planner 19

MULTISTYLE: Characterizing Multiplayer Cooperative Gameplay ...

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19th AAAI Conference on Artificial Intelligence and Interactive Digital entertainment, AIIDE 2023

作者： Lang, Eric W. Young, R. Michael School of Computing University of Utah 201 Presidents’ Circle Salt Lake CityUT84112 United States Entertainment Arts and Engineering Program University of Utah 201 Presidents’ Circle Salt Lake CityUT84112 United States

ISBN: (纸本)157735883X

This paper presents MULTISTYLE, a multi-agent centralized heuristic search planner that incorporates distinct agent playstyles to generate solution plans where characters express individual preferences while cooperating to reach a goal. We include algorithmic details, an example domain, and multiple different solution plans generated with unique agent playstyle sets. We discuss our intent to incorporate this planner in a tool for game level designers to help them anticipate and understand how teams of players with distinct playstyles may play through their levels. Ultimately, MULTISTYLE generates solution plans with a novel and increased expressive range by attempting to satisfy sets of action and proposition preferences for each agent. Copyright © 2023, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Multi agent systems

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Game System Models: Toward Semantic Foundations for Technical Game Analysis, Generation, and Design 18

Game System Models: Toward Semantic Foundations for Technica...

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18th AAAI Conference on Artificial Intelligence and Interactive Digital entertainment, AIIDE 2022

作者： Cardona-Rivera, Rogelio E. Zagal, José P. Debus, Michael S. School of Computing University of Utah Salt Lake CityUT United States Entertainment Arts and Engineering Program University of Utah Salt Lake CityUT United States School of Architecture Design and Conservation Royal Danish Academy of Fine Arts Copenhagen Denmark

ISBN: (纸本)1577358775

Game system models introduce abstractions over games in order to support their analysis, generation, and design. While excellent, models to date leave tacit what they abstract over, why they are ontologically adequate, and how they would be realized in the engine underlying the game. In this paper we model these abstraction gaps via the first-order modal µcalculus. We use it to reify the link between engines to our game interaction model, a player-computer interaction framework grounded in the Game Ontology Project. Through formal derivation and justification, we contend our work is a useful code studies perspective that affords better understanding the semantics underlying game system models in general. Copyright © 2022, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Semantics

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OGrES Welcome! Toward a systematic theory for serious game design 21

OGrES Welcome! Toward a systematic theory for serious game d...

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8th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2021

作者： Blackburn, Nancy N. Cardona-Rivera, Rogelio E. Laboratory for Quantitative Experience Design School of Computing and the Entertainment Arts and Engineering Program University of Utah Salt Lake CityUT United States

ISBN: (纸本)9781450383561

Despite the vast scholarship around serious games, there is still no consensus methodology for how to best go about designing them. This paper presents work-in-progress toward synthesizing an actionable, systematic serious game design theory. We introduce mIBO as a computational model to aid in thinking about game design processes and rationales, and OGrES as a method for defining the function of a serious game. © 2021 Owner/Author.

关键词： Serious games

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RPGPref: A Planning Heuristic that Uses Playstyle Preferences to Model Player Action and Choice 18

RPGPref: A Planning Heuristic that Uses Playstyle Preference...

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18th AAAI Conference on Artificial Intelligence and Interactive Digital entertainment, AIIDE 2022

ISBN: (纸本)1577358775

Recent work extending planning algorithms that reason about action and change has been successful at supporting game design, player modeling, and story generation. Incorporating agent preferences over actions and propositions into a planning process allows for a more accurate prediction of what a human might do when solving a problem like playing through a game level. This paper presents the preference-based planning heuristic RPGPREF which uses relaxed plan graphs (RPGs) and preference sets to guide a planner toward a preference-conforming path to its goal. A human subjects evaluation confirms that RPGPREF successfully guides the planning process toward solution plans that recognizably match and differentiate player playstyles. Copyright © 2022, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Artificial intelligence

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HeadSpace: Incorporating Action Failure and Character Beliefs into Narrative Planning 18

HeadSpace: Incorporating Action Failure and Character Belief...

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18th AAAI Conference on Artificial Intelligence and Interactive Digital entertainment, AIIDE 2022

作者： Sanghrajka, Rushit Young, R. Michael Thorne, Brandon School of Computing University of Utah Salt Lake CityUT United States Entertainment Arts and Engineering Program University of Utah Salt Lake CityUT United States Spectra Logic Salt Lake CityUT United States

ISBN: (纸本)1577358775

Previous work on story planning has lacked a knowledge representation for characters that attempt actions that fail because of the characters’ misconceptions about the world state. This work describes HEADSPACE, a state-space heuristic search planning system that generates stories that track and manipulate characters’ beliefs about the story world. The planner produces story plans with actions that are attempted but fail. We show an example story plan that contains failed-action content that cannot be generated by typical planning-based approaches to story creation, and we provide an analytical evaluation that characterizes our planner’s increased expressive range relative to other narrative planners addressing character belief and/or failed action execution. Copyright © 2022, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Knowledge representation

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Foundations of a computational science of game design: Abstractions and tradeoffs 16

Foundations of a computational science of game design: Abstr...

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16th AAAI Conference on Artificial Intelligence and Interactive Digital entertainment, AIIDE 2020

作者： Cardona-Rivera, Rogelio E. Laboratory for Quantitative Experience Design School of Computing and the Entertainment Arts and Engineering Program University of Utah Salt Lake CityUT United States

ISBN: (纸本)9781577358497

This paper presents the foundations of a computational science of game design—a model of abstraction: the outcome of a situated design process that conceptualizes something in terms of something else for a specific purpose. The outcome of abstraction is modeled via an abstraction scheme, a step toward modeling the process of game design abstraction from a human-centered perspective. A scheme’s purpose is couched relative to a scheme’s properties, also defined herein;collectively, the properties represent the space of tradeoffs designers must navigate for engineering virtual worlds. This model’s analytical traction is evidenced by applying it to the design of pathfinding, a core behavior in artificial intelligence for games. More broadly, it is a foundation for shared progress because it affords directly comparing particular abstractions of concepts and phenomena across the gamut of research on intelligent systems in entertainment. Copyright © 2020, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Game design

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Using domain compilation to add belief to narrative planners 16

Using domain compilation to add belief to narrative planners

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16th AAAI Conference on Artificial Intelligence and Interactive Digital entertainment, AIIDE 2020

作者： Christensen, Matthew Nelson, Jennifer M. Cardona-Rivera, Rogelio E. School of Computing University of Utah Salt Lake CityUT United States Entertainment Arts and Engineering Program University of Utah Salt Lake CityUT United States

ISBN: (纸本)9781577358497

Using domain compilation, we present a narrative planning system that is capable of creating narrative plans that use both character intention and character beliefs. We introduce a model capable of representing character beliefs in PDDL domains. This model allows characters to fail at actions when their beliefs about the world differ from the actual world state. Domains of this type can be compiled into purely intentional domains, and fed as input to intentional planners. The resulting stories feature characters that pursue their own intentions based on their own knowledge of the world, learn from mistakes to update their beliefs, and communicate information to each other. These types of stories are not possible with purely intentional domains. Copyright © 2020, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Planning

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Invisible Dynamic Mechanic Adjustment in Virtual Reality Games

Invisible Dynamic Mechanic Adjustment in Virtual Reality Gam...

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IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： Justus Robertson Rogelio E. Cardona-Rivera R. Michael Young University of York York UK School of Computing and the Entertainment Arts and Engineering Program University of Utah UT USA

ISBN: (数字)9781728174631

ISBN: (纸本)9781728174648

A key part of managing a player's virtual reality experience is ensuring that the environment behaves consistently to the player's interaction. In some instances, however, it is important to change how the world behaves-i.e. the world's simulation rules or mechanics-because doing so preserves the virtual environment's intended quality. Mechanics changes must be done carefully; if too overt, they may be perceivable and potentially thwart a player's sense of presence or *** paper reports the result of a study, which demonstrates the widely-held but heretofore-untested belief that changing an environment's mechanics without considering what the player knows is visible to the player. The study's findings motivate the paper's second contribution: an automated method to perform invisible dynamic mechanics adjustment, which affords shifting a game's previously-established mechanics in a manner that is not perceivably inconsistent to players. This method depends on a knowledge-tracking strategy and two such strategies are presented: (1) a conservative one, relevant to a wide variety of virtual environments, and (2) a more nuanced one, relevant to environments that will be experienced via head-mounted virtual reality displays. The paper concludes with a variety of design-centered considerations for the use of this artificial intelligence system within virtual reality.

关键词： Wounds Games Oils Solid modeling Virtual environments Artificial intelligence Tutorials

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Computational approaches to analyzing and generating comics 42

Computational approaches to analyzing and generating comics

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42nd Annual Meeting of the Cognitive Science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020

作者： Upadhyayula, Aditya Martens, Chris Cardona-Rivera, Rogelio E. Hendrickson, Andrew T. Cohn, Neil Department of Psychological and Brain Sciences Johns Hopkins University United States Department of Computer Science North Carolina State University United States School of Computing The Entertainment Arts and Engineering Program University of Utah United States Department of Cognitive Science and Artificial Intelligence Tilburg University Netherlands Department of Cognition and Communication Tilburg University Netherlands

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