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INTERCOGAM SIGNED

Information Theoretic Evaluation of Random Content Generation in Games

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "INTERCOGAM" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF HERTFORDSHIRE HIGHER EDUCATION CORPORATION 

Organization address
address: COLLEGE LANE
city: HATFIELD
postcode: AL10 9AB
website: www.herts.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://homepages.herts.ac.uk/
 Total cost 251˙857 €
 EC max contribution 251˙857 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-GF
 Starting year 2016
 Duration (year-month-day) from 2016-12-01   to  2019-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF HERTFORDSHIRE HIGHER EDUCATION CORPORATION UK (HATFIELD) coordinator 251˙857.00
2    NEW YORK UNIVERSITY US (NEW YORK) partner 0.00

Map

 Project objective

INTERCOGAM’s goal is to develop and use information theory based intrinsic motivation formalisms to evaluate automatically generated game mechanics. Content generation is one of the production bottlenecks of professional game design, which has begun to be addressed by procedural content generation. In this field, search based procedural content generation uses the idea of evolutionary algorithms to represent, modify and adapt games and game content to maximise fun and engagement with the game. One major challenge here is the identification of widely applicable fitness functions, which capture the different aspects of what makes a game fun, such as challenge level, complexity, pacing, etc. INTERCOGAM will relate psychological and game design concepts of game experience to either existing formalisms for intrinsic motivation or develop new ones, where appropriate. Human play testers will then play procedurally generated games and evaluate their own experience, allowing us to verify whether our formalism captures the actual human motivation, and whether humans indeed act according to certain intrinsic motivations. INTERCOGAM will yield both, a tool to generate new and engaging game ideas, aiding better and faster game design, and provide new insights into how the human mind engages with different worlds where there is no external reward present.

 Publications

year authors and title journal last update
List of publications.
2020 Christoph Salge, Michael Cerny Green, Rodrigo Canaan, Filip Skwarski, Rafael Fritsch, Adrian Brightmoore, Shaofang Ye, Changxing Cao, Julian Togelius
The AI Settlement Generation Challenge in Minecraft
published pages: 19-31, ISSN: 0933-1875, DOI: 10.1007/s13218-020-00635-0
KI - Künstliche Intelligenz 34/1 2020-04-24
2020 Stephenson, Matthew; Anderson, Damien; Khalifa, Ahmed; Levine, John; Renz, Jochen; Togelius, Julian; Salge, Christoph
A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking
published pages: , ISSN: , DOI:
Note: This paper is accepted but not yet published by IEEE CEC 2020 1 2020-04-24
2019 Andrei D. Robu, Christoph Salge, Chrystopher L. Nehaniv, Daniel Polani
Measuring Time with Minimal Clocks
published pages: 383-409, ISSN: 1064-5462, DOI: 10.1162/artl_a_00303
Artificial Life 25/4 2020-04-24
2018 Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
published pages: , ISSN: 1662-5218, DOI: 10.3389/fnbot.2018.00045
Frontiers in Neurorobotics 12 2019-05-23
2017 Christoph Salge, Daniel Polani
Empowerment As Replacement for the Three Laws of Robotics
published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2017.00025
Frontiers in Robotics and AI 4 2019-05-10

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