Search results for: Georgios N. Yannakakis

Items from 1 to 20 out of 69 results

chapter

Evolving Interesting Maps for a First Person Shooter

Luigi Cardamone, Georgios N. Yannakakis, Julian Togelius, Pier Luca Lanzi

Lecture Notes in Computer Science > Applications of Evolutionary Computation > EvoGAMES Contributions > 63-72

We address the problem of automatically designing maps for first-person shooter (FPS) games. An efficient solution to this procedural content generation (PCG) problem could allow the design of FPS games of lower development cost with near-infinite replay value and capability to adapt to the skills and preferences of individual players. We propose a search-based solution, where maps are evolved to...

chapter

Sonancia: A multi-faceted generator for horror

Phil Lopes, Antonios Liapis, Georgios N. Yannakakis

2016 IEEE Conference on Computational Intelligence and Games (CIG) > 1 - 2

2016 IEEE Conference on Computational Intelligence and Games (CIG)

Fear and tension are the primary emotions elicited by the genre of horror, a peculiar characteristic for media whose sole purpose is to entertain. The audience is often lead into tense and fearful situations, meticulously crafted by the authors using a narrative progression and a combination of visual and auditory stimuli. This paper presents a playable demonstration of the Sonancia system, a multi-faceted...

chapter

General general game AI

Julian Togelius, Georgios N. Yannakakis

2016 IEEE Conference on Computational Intelligence and Games (CIG) > 1 - 8

2016 IEEE Conference on Computational Intelligence and Games (CIG)

Arguably the grand goal of artificial intelligence research is to produce machines with general intelligence: the capacity to solve multiple problems, not just one. Artificial intelligence (AI) has investigated the general intelligence capacity of machines within the domain of games more than any other domain given the ideal properties of games for that purpose: controlled yet interesting and computationally...

chapter

A holistic approach for semantic-based game generation

Owen Sacco, Antonios Liapis, Georgios N. Yannakakis

2016 IEEE Conference on Computational Intelligence and Games (CIG) > 1 - 8

2016 IEEE Conference on Computational Intelligence and Games (CIG)

The Web contains vast sources of content that could be reused to reduce the development time and effort to create games. However, most Web content is unstructured and lacks meaning for machines to be able to process and infer new knowledge. The Web of Data is a term used to describe a trend for publishing and interlinking previously disconnected datasets on the Web in order to make them more valuable...

chapter

Evolving missions for Dwarf quest dungeons

Daniel Karavolos, Antonios Liapis, Georgios N. Yannakakis

2016 IEEE Conference on Computational Intelligence and Games (CIG) > 1 - 2

2016 IEEE Conference on Computational Intelligence and Games (CIG)

This paper describes a search-based level generation approach that uses the search space of action sequences, represented as graphs, rather than spatial layouts. The search is guided by mutation operators that manipulate the graph topology, and the paper explores various objective functions that are based on generic level evaluation metrics. The evolved action sequences are passed to a grammar-based...

chapter

Platformer level design for player believability

Elizabeth Camilleri, Georgios N. Yannakakis, Alexiei Dingli

2016 IEEE Conference on Computational Intelligence and Games (CIG) > 1 - 8

2016 IEEE Conference on Computational Intelligence and Games (CIG)

Player believability is often defined as the ability of a game playing character to convince an observer that it is being controlled by a human. The agent's behavior is often assumed to be the main contributor to the character's believability. In this paper we reframe this core assumption and instead focus on the impact of the game environment and aspects of game design (such as level design) on the...

chapter

Evolving missions to create game spaces

Daniel Karavolos, Antonios Liapis, Georgios N. Yannakakis

2016 IEEE Conference on Computational Intelligence and Games (CIG) > 1 - 8

2016 IEEE Conference on Computational Intelligence and Games (CIG)

This paper describes a search-based generative method which creates game levels by evolving the intended sequence of player actions rather than their spatial layout. The proposed approach evolves graphs where nodes representing player actions are linked to form one or more ways in which a mission can be completed. Initially simple graphs containing the mission's starting and ending nodes are evolved...

chapter

Constrained surprise search for content generation

Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis

2016 IEEE Conference on Computational Intelligence and Games (CIG) > 1 - 8

2016 IEEE Conference on Computational Intelligence and Games (CIG)

In procedural content generation, it is often desirable to create artifacts which not only fulfill certain playability constraints but are also able to surprise the player with unexpected potential uses. This paper applies a divergent evolutionary search method based on surprise to the constrained problem of generating balanced and efficient sets of weapons for the Unreal Tournament III shooter game...

article

Evolving models of player decision making: Personas versus clones

Christoffer Holmgård, Antonios Liapis, Julian Togelius, Georgios N. Yannakakis

Entertainment Computing > 2016 > 16 > C > 95-104

The current paper investigates multiple approaches to modeling human decision making styles for procedural play-testing. Building on decision and persona theory we evolve game playing agents representing human decision making styles. Three kinds of agents are evolved from the same representation: procedural personas, evolved from game designer expert knowledge, clones, evolved from observations of...

chapter

Analysing the Relevance of Experience Partitions to the Prediction of Players’ Self-reports of Affect

Héctor Perez Martínez, Georgios N. Yannakakis

Lecture Notes in Computer Science > Affective Computing and Intelligent Interaction > Emotion in Games Workshop > 538-546

A common practice in modeling affect from physiological signals consists of reducing the signals to a set of statistical features that feed predictors of self-reported emotions. This paper analyses the impact of various time-windows, used for the extraction of physiological features, to the accuracy of affective models of players in a simple 3D game. Results show that the signals recorded in the central...

chapter

Generic Physiological Features as Predictors of Player Experience

Héctor Perez Martínez, Maurizio Garbarino, Georgios N. Yannakakis

Lecture Notes in Computer Science > Affective Computing and Intelligent Interaction > Oral Presentations > 267-276

This paper examines the generality of features extracted from heart rate (HR) and skin conductance (SC) signals as predictors of self-reported player affect expressed as pairwise preferences. Artificial neural networks are trained to accurately map physiological features to expressed affect in two dissimilar and independent game surveys. The performance of the obtained affective models which are trained...

chapter

Emotion in Games

Georgios N. Yannakakis, Kostas Karpouzis, Ana Paiva, Eva Hudlicka

Lecture Notes in Computer Science > Affective Computing and Intelligent Interaction > Emotion in Games Workshop > 497-497

Computer games are unique elicitors of emotion. Recognition of player emotion, dynamic construction of affective player models, and modelling emotions in non-playing characters, represent challenging areas of research and practice at the crossroads of cognitive and affective science, psychology, artificial intelligence and human-computer interaction. Techniques from AI and HCI can be used to recognize...

chapter

Entertainment Modeling in Physical Play Through Physiology Beyond Heart-Rate

Georgios N. Yannakakis, John Hallam

Lecture Notes in Computer Science > Affective Computing and Intelligent Interaction > Recognising Affect Using Physiological Measures > 254-265

An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in this paper. An exploratory survey experiment raises the difficulties of isolating elements derived (solely) from heart rate recordings attributed to reported entertainment and a control experiment for surmounting those difficulties...

chapter

Capturing Entertainment Through Heart Rate Dynamics in the Playware Playground

Georgios N. Yannakakis, John Hallam, Henrik Hautop Lund

Lecture Notes in Computer Science > Entertainment Computing - ICEC 2006 > Posters > 314-317

This paper introduces a statistical approach for capturing enter-tainment in real-time through physiological signals within interactive playgrounds inspired by computer games. For this purpose children’s heart rate (HR) signals and judgement on entertainment are obtained from experiments on the innovative Playware playground. A comprehensive statistical analysis shows that children’s notion of entertainment...

chapter

A Game-Based Corpus for Analysing the Interplay between Game Context and Player Experience

Noor Shaker, Stylianos Asteriadis, Georgios N. Yannakakis, Kostas Karpouzis

Lecture Notes in Computer Science > Affective Computing and Intelligent Interaction > Emotion in Games Workshop > 547-556

Recognizing players’ affective state while playing video games has been the focus of many recent research studies. In this paper we describe the process that has been followed to build a corpus based on game events and recorded video sessions from human players while playing Super Mario Bros. We present different types of information that have been extracted from game context, player preferences and...

chapter

Ranking vs. Preference: A Comparative Study of Self-reporting

Georgios N. Yannakakis, John Hallam

Lecture Notes in Computer Science > Affective Computing and Intelligent Interaction > Oral Presentations > 437-446

This paper introduces a comparative analysis between rating and pairwise self-reporting via questionnaires in user survey experiments. Two dissimilar game user survey experiments are employed in which the two questionnaire schemes are tested and compared for reliable affect annotation. The statistical analysis followed to test our hypotheses shows that even though the two self-reporting schemes are...

chapter

Capturing Player Enjoyment in Computer Games

Georgios N. Yannakakis, John Hallam

Studies in Computational Intelligence > Advanced Intelligent Paradigms in Computer Games > 175-201

The current state-of-the-art in intelligent game design using Artificial Intelligence (AI) techniques is mainly focused on generating human-like and intelligent characters. Even though complex opponent behaviors emerge through various machine learning techniques, there is generally no further analysis of whether these behaviors contribute to the satisfaction of the player. The implicit hypothesis...

chapter

Towards Adaptive Virtual Camera Control in Computer Games

Paolo Burelli, Georgios N. Yannakakis

Lecture Notes in Computer Science > Smart Graphics > View and Camera Control > 25-36

Automatic camera control aims to define a framework to control virtual camera movements in dynamic and unpredictable virtual environments while ensuring a set of desired visual properties. We investigate the relationship between camera placement and playing behaviour in games and build a user model of the camera behaviour that can be used to control camera movements based on player preferences. For...

chapter

Erratum: Ranking vs. Preference: A Comparative Study of Self-reporting

Georgios N. Yannakakis, John Hallam

Lecture Notes in Computer Science > Affective Computing and Intelligent Interaction > Erratum > E1-E1

chapter

Towards Capturing and Enhancing Entertainment in Computer Games

Georgios N. Yannakakis, John Hallam

Lecture Notes in Computer Science > Advances in Artificial Intelligence > Full Papers > 432-442

This paper introduces quantitative measurements/metrics of qualitative entertainment features within computer game environments and proposes artificial intelligence (AI) techniques for optimizing entertainment in such interactive systems. A human-verified metric of interest (i.e. player entertainment in real-time) for predator/prey games and a neuro-evolution on-line learning (i.e. during play) approach...

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GAMES (33)
COMPUTATIONAL MODELING (9)
ARTIFICIAL INTELLIGENCE (7)
EVOLUTIONARY COMPUTATION (7)
VISUALIZATION (7)
FEATURE EXTRACTION (6)
ADAPTATION MODELS (5)
DATA MODELS (5)
GENERATORS (5)
PROCEDURAL CONTENT GENERATION (5)
SOCIOLOGY (5)
STATISTICS (5)
MEASUREMENT (4)
OPTIMIZATION (4)
PREFERENCE LEARNING (4)
SKIN CONDUCTANCE (4)
SOFTWARE (4)
AFFECTIVE COMPUTING (3)
ALGORITHM DESIGN AND ANALYSIS (3)
BLOOD VOLUME PULSE (3)
COLLABORATION (3)
COMPUTATIONAL INTELLIGENCE (3)
COMPUTER GAMES (3)
ELECTRONIC MAIL (3)
ENTERTAINMENT MODELING (3)
GENETIC ALGORITHMS (3)
GRAMMAR (3)
HEART RATE (3)
PLAYER EXPERIENCE (3)
PLAYER EXPERIENCE MODELING (3)
PLAYER MODELLING (3)
PREDICTIVE MODELS (3)
STRESS DETECTION (3)
WEAPONS (3)
ART (2)
ARTIFICIAL NEURAL NETWORKS (2)
BENCHMARK TESTING (2)
CAMERAS (2)
COMMUNITIES (2)
COMPUTATIONAL AESTHETICS (2)
COMPUTERS (2)
DATA MINING (2)
DATABASES (2)
EXPERIENCE-DRIVEN PROCEDURAL CONTENT GENERATION (2)
GAMES FOR HEALTH (2)
HUMANS (2)
INTELLIGENT INTERACTIVE PLAYGROUNDS (2)
LAYOUT (2)
NAVIGATION (2)
NEURO-EVOLUTION (2)
PHYSIOLOGY (2)
PLAYER BEHAVIOR (2)
PLAYER MODELING (2)
POST TRAUMATIC STRESS DISORDER (2)
PREDICTION ALGORITHMS (2)
RANKING (2)
SEARCH PROBLEMS (2)
SPACE MISSIONS (2)
SPECIAL ISSUES AND SECTIONS (2)
TILES (2)
TRAINING (2)
USER PROFILING (2)
VIRTUAL CAMERA CONTROL (2)
STARCRAFT (1)
3D COMPUTER GAMES (1)
ABSTRACTS (1)
AFFECT ANNOTATION (1)
AFFECTIVE GAMING (1)
AFFECTIVE LOOP (1)
AFFECTIVE MODELING (1)
AFFECTRANK (1)
ANALYTICAL MODELS (1)
ANNOTATION (1)
ARTIFICIAL SOCIETIES (1)
AUTOMATIC CAMERA CONTROL PROBLEM (1)
BEHAVIORAL SCIENCE (1)
BEHAVIOUR CLONING (1)
BEHAVIOUR IMITATION (1)
BIOLOGICAL CELLS (1)
BIOSIGNALS (1)
BRAIN MODELS (1)
BUILDINGS (1)
CAMERA CONTROL (1)
CLASSIFICATION (1)
CLASSIFICATION ALGORITHMS (1)
COLLABORATIVE LEARNING ENVIRONMENTS (1)
COMMUNITY STRUCTURES (1)
COMPLETE WEIGHTED NETWORKS (1)
COMPLEX ADAPTIVE SYSTEMS (1)
COMPLEXITY (1)
COMPLEXITY THEORY (1)
COMPUTATIONAL AND ARTIFICIAL INTELLIGENCE (1)
COMPUTER GRAPHICS (1)
COMPUTER SCIENCE EDUCATION (1)
CONFERENCES (1)
CONSTRAINED OPTIMIZATION (1)
CONSTRAINED SET (1)
CONSUMER BEHAVIOR (1)
CONTENT PERSONALIZATION (1)
CONTROL SYSTEMS (1)
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INFONA - science communication portal

Search results for: Georgios N. Yannakakis

Evolving Interesting Maps for a First Person Shooter

Sonancia: A multi-faceted generator for horror

General general game AI

A holistic approach for semantic-based game generation

Evolving missions for Dwarf quest dungeons

Platformer level design for player believability

Evolving missions to create game spaces

Constrained surprise search for content generation

Evolving models of player decision making: Personas versus clones

Analysing the Relevance of Experience Partitions to the Prediction of Players’ Self-reports of Affect

Generic Physiological Features as Predictors of Player Experience

Emotion in Games

Entertainment Modeling in Physical Play Through Physiology Beyond Heart-Rate

Capturing Entertainment Through Heart Rate Dynamics in the Playware Playground

A Game-Based Corpus for Analysing the Interplay between Game Context and Player Experience

Ranking vs. Preference: A Comparative Study of Self-reporting

Capturing Player Enjoyment in Computer Games

Towards Adaptive Virtual Camera Control in Computer Games

Erratum: Ranking vs. Preference: A Comparative Study of Self-reporting

Towards Capturing and Enhancing Entertainment in Computer Games

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