Towards Games for Knowledge Acquisition and Modeling

Many model-based methods in AI require formal representation of knowledge as input. For the acquisition of highly structured, domain-specific knowledge, machine learning techniques still fall short, and knowledge elicitation and modelling is then the standard. However, obtaining formal models from informants who have few or no formal skills is a non-trivial aspect of knowledge acquisition, which can be viewed as an instance of the well-known "knowledge acquisition bottleneck". Based on the authors' work in conceptual modelling and method engineering, this paper casts methods for knowledge modelling in the framework of games. The resulting games-for-modelling approach is illustrated by a first prototype of such a game. The authors' long-term goal is to lower the threshold for formal knowledge acquisition and modelling.

[1]  Travis L. Ross,et al.  Optimizing the Psychological Benefits of Choice: Information Transparency and Heuristic Use in Game Environments , 2011, Int. J. Gaming Comput. Mediat. Simulations.

[2]  Stijn Hoppenbrouwers,et al.  Evaluating Modeling Sessions Using the Analytic Hierarchy Process , 2009, PoEM.

[3]  Peter Rittgen.  Collaborative Business and Information Systems Design , 2009, Int. J. e Collab..

[4]  Chris Elgood.  Handbook of Management Games , 1976 .

[5]  Frederick Hayes-Roth,et al.  Building expert systems , 1983, Advanced book program.

[6]  Stijn Hoppenbrouwers,et al.  Formal Modelling as a Grounded Conversation , 2005 .

[7]  Philippe Kruchten,et al.  The Rational Unified Process: An Introduction, Second Edition , 2000 .

[8]  Alicia Díaz,et al.  Co-Protégé: Collaborative Ontology Building with Divergences , 2006, 17th International Workshop on Database and Expert Systems Applications (DEXA'06).

[9]  Luis von Ahn.  Games with a Purpose , 2006, Computer.

[10]  Henderik Alex Proper,et al.  System Development as a Rational Communicative Process , 2003 .

[11]  Ivar Jacobson,et al.  The Unified Modeling Language User Guide , 1998, J. Database Manag..

[12]  Daniela M. Romano,et al.  Bio-Affective Computer Interface for Game Interaction , 2010, Int. J. Gaming Comput. Mediat. Simulations.

[13]  Guus Schreiber,et al.  Knowledge Engineering and Management: The CommonKADS Methodology , 1999 .

[14]  John W. Rice,et al.  The Gamification of Learning and Instruction: Game-Based Methods and Strategies for Training and Education , 2012, Int. J. Gaming Comput. Mediat. Simulations.

[15]  Peter Rittgen.  Collaborative Modeling : A Design Science Approach , 2009 .

[16]  Sandra Schamroth Abrams,et al.  The Dynamics of Video Gaming: Influences Affecting Game Play and Learning , 2010 .

[17]  Diane Wilcox,et al.  Design and Implementation of Educational Games: Theoretical and Practical Perspectives , 2010 .

[18]  Christian Wagner,et al.  Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management , 2006, Inf. Resour. Manag. J..

[19]  David J. Hand,et al.  Intelligent Data Analysis: An Introduction , 2005 .

[20]  Heather Desurvire,et al.  Using heuristics to evaluate the playability of games , 2004, CHI EA '04.

[21]  Matteo Cristani,et al.  A Survey on Ontology Creation Methodologies , 2005, Int. J. Semantic Web Inf. Syst..

[22]  Richard E. Ferdig,et al.  Handbook of Research on Effective Electronic Gaming in Education , 2009 .

[23]  David Gibson,et al.  International Journal of Gaming and Computer-Mediated Simulations , 2012 .

[24]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..