Deceptive games

Deceptive games are games where the reward structure or other aspects of the game are designed to lead the agent away from a globally optimal policy. While many games are already deceptive to some extent, we designed a series of games in the Video Game Description Language (VGDL) implementing specific types of deception, classified by the cognitive biases they exploit. VGDL games can be run in the General Video Game Artificial Intelligence (GVGAI) Framework, making it possible to test a variety of existing AI agents that have been submitted to the GVGAI Competition on these deceptive games. Our results show that all tested agents are vulnerable to several kinds of deception, but that different agents have different weaknesses. This suggests that we can use deception to understand the capabilities of a game-playing algorithm, and game-playing algorithms to characterize the deception displayed by a game

Ensemble decision systems for general video game playing

Ensemble Decision Systems offer a unique form of decision making that allows a collection of algorithms to reason together about a problem. Each individual algorithm has its own inherent strengths and weaknesses, and often it is difficult to overcome the weaknesses while retaining the strengths. Instead of altering the properties of the algorithm, the Ensemble Decision System augments the performance with other algorithms that have complementing strengths. This work outlines different options for building an Ensemble Decision System as well as providing analysis on its performance compared to the individual components of the system with interesting results, showing an increase in the generality of the algorithms without significantly impeding performance.Comment: 8 Pages, Accepted at COG201

Ludii as a Competition Platform

Ludii is a general game system being developed as part of the ERC-funded Digital Ludeme Project (DLP). While its primary aim is to model, play, and analyse the full range of traditional strategy games, Ludii also has the potential to support a wide range of AI research topics and competitions. This paper describes some of the future competitions and challenges that we intend to run using the Ludii system, highlighting some of its most important aspects that can potentially lead to many algorithm improvements and new avenues of research. We compare and contrast our proposed competition motivations, goals and frameworks against those of existing general game playing competitions, addressing the strengths and weaknesses of each platform

ChatGPT4PCG Competition: Character-like Level Generation for Science Birds

This paper presents the first ChatGPT4PCG Competition at the 2023 IEEE Conference on Games. The objective of this competition is for participants to create effective prompts for ChatGPT--enabling it to generate Science Birds levels with high stability and character-like qualities--fully using their creativity as well as prompt engineering skills. ChatGPT is a conversational agent developed by OpenAI. Science Birds is selected as the competition platform because designing an Angry Birds-like level is not a trivial task due to the in-game gravity; the playability of the levels is determined by their stability. To lower the entry barrier to the competition, we limit the task to the generation of capitalized English alphabetical characters. Here, the quality of the generated levels is determined by their stability and similarity to the given characters. A sample prompt is provided to participants for their reference. An experiment is conducted to determine the effectiveness of its modified versions on level stability and similarity by testing them on several characters. To the best of our knowledge, we believe that ChatGPT4PCG is the first competition of its kind and hope to inspire enthusiasm for prompt engineering in procedural content generation.Comment: This paper under review is made available for participants of ChatGPT4PCG Competition (https://chatgpt4pcg.github.io/) and readers interested in relevant area

Certainty, Severity, and Low Latency Deception

abstract: There has been an ongoing debate between the relative deterrent power of certainty and severity on deceptive and criminal activity, certainty being the likelihood of capture and severity being the magnitude of the potential punishment. This paper is a review of the current body of research regarding risk assessment and deception in games, specifically regarding certainty and severity. The topics of game theoretical foundations, balance, and design were covered, as were heuristics and individual differences in deceptive behavior. Using this background knowledge, this study implemented a methodology through which the risk assessments of certainty and severity can be compared behaviorally in a repeated conflict context. It was found that certainty had a significant effect on a person’s likelihood to lie, while severity did not. Exploratory data was collected using the dark triad personality quiz, though it did not ultimately show a pattern.Dissertation/ThesisMasters Thesis Human Systems Engineering 201

Generation of Strategies for Environmental Deception in Two-Player Normal-Form Games

Methods of performing and defending against deceptive actions are a popular field of study in game theory; however, the focus is mostly on action deception in turn-based games. This work focuses on developing strategies for performing environmental deception in two-player, strategic-form games. Environmental deception is defined as deception where one player has the ability to change the other\u27s perception of the state of the game through modification of their perception of the game\u27s payoff matrix, similar to the use of camouflage. The main contributions of this research are an expansion of the definition of the stability of a Nash equilibrium to include cells outside the equilibrium, and the creation of four algorithms for developing strategies for environmental deception, including closed-form solutions for the creation of a 3x3 deceptive game with a 2x2 mixed-strategy Nash equilibrium (MSNE) that benefits the deceiver from a 3x3 game containing a 2x2 MSNE. It is found that the value gain produced by a deceptive algorithm is dependent upon the type of game to which it is applied and the maximum amount of allowable change to the payoff matrix emphasizing the importance of carefully selecting an algorithm to match the situation to which it is applied

The Wooster Voice (Wooster, Ohio), 1905-11-13

Debating News, is about the inter-collegiate debating still in development stages. In A New Dormitory Assured, President Holden announced that ground has been broken for a new women\u27s dormitory. Women in College Journalism, is about how there has never been a woman editor for the Voice but how that could change. In Famous Train In Music, famous bandmaster F. N. Innes composed the Pennsylvania Special and played it for the first time.https://openworks.wooster.edu/voice1901-1910/1075/thumbnail.jp

TODAY - March 21, 2014

Inside this issue: -- Loma Linda University Children\u27s Hospital Foundation Gala adds first-ever benefit concert-- Loma Linda University Health television show to air nationally on PBS\u27s WORLD Channel beginning April 4-- GRASP and GCAT awards highlight internally funded research at LLU-- LLUH introduces new site for policy & procedure management-- Riverside Convention Center to offer menu options designed by Loma Linda University Health-- School of Pharmacy delivers flu shots to San Bernardino UPS facility-- Human resources changes name to talent management services-- School of Dentistry hosts successful 24th annual Clinic With A Heart-- You might not want to read this sitting down-- History celebrated at open house for new Nichol Hall rotunda-- Emergency medical care program celebrates 20 years-- How nursing student Nicole Shea lives out the Loma Linda University Health commitment to service-- Innerweave: The Wholeness Story-- Epidemiology student finds connection and meaning at Loma Linda University-- Friends establish fund to honor the legacy of Timothy S. Greaves, MDhttps://scholarsrepository.llu.edu/today/1024/thumbnail.jp