An Ontological Framework for Cooperative Games

Social intelligence is an emerging property of a system composed of agents that consists of the ability of this system to conceive, design, implement and execute strategies to solve problems and thus achieve a collective state of the system that is concurrently satisfactory for all and each one of the agents that compose it. In order to make decisions when dealing with complex problems related to social systems and take advantage of social intelligence, cooperative games theory constitutes the standard theoretical framework. In the present work, an ontological framework for cooperative games modeling and simulation is presented.

[1]  Melanie Mitchell,et al.  Complexity - A Guided Tour , 2009 .

[2]  Udo Buscher,et al.  Vertical cooperative advertising in a retailer duopoly , 2014, Comput. Ind. Eng..

[3]  Arturo Carsetti Epistemic Complexity and Knowledge Construction , 2013 .

[4]  H. Van Dyke Parunak,et al.  Representing Social Structures in UML , 2001, AOSE.

[5]  S. Bookheimer,et al.  Form and Content Dissociating Syntax and Semantics in Sentence Comprehension , 1999, Neuron.

[6]  Brian Castellani,et al.  Sociology and Complexity Science , 2009 .

[7]  Grady Booch,et al.  Object-Oriented Analysis and Design with Applications , 1990 .

[8]  Cheng-Chang Lin,et al.  A Cooperative Coalitional Game in Duopolistic Supply-Chain Competition , 2012 .

[9]  Takao Terano,et al.  Agent-Based Approaches in Economic and Social Complex Systems VIII , 2015 .

[10]  Gérard P. Cachon,et al.  Perspective: Complexity Theory and Organization Science , 1999, Organization Science.

[11]  L. Kóczy,et al.  Cluster games: A novel, game theory-based approach to better understand incentives and stability in clusters , 2012 .

[12]  John A. Barnden,et al.  Semantic Networks , 1998, Encyclopedia of Social Network Analysis and Mining.

[13]  Saeed Alaei,et al.  A game theoretical study of cooperative advertising in a single-manufacturer-two-retailers supply chain , 2014 .

[14]  Mary Shaw Alphard: Form and Content , 1981, Springer New York.

[15]  Cori Vilella,et al.  Enjoying cooperative games: The R package GameTheory , 2017, Appl. Math. Comput..

[16]  Anthony L. Patti,et al.  Economic clusters and the supply chain: a case study , 2006 .

[17]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[18]  Steffen Staab,et al.  What Is an Ontology? , 2009, Handbook on Ontologies.

[19]  Carolina Islas Sedano,et al.  Collaborative and cooperative games: Facts and assumptions , 2013, 2013 International Conference on Collaboration Technologies and Systems (CTS).

[20]  Ivar Jacobson,et al.  The unified modeling language reference manual , 2010 .

[21]  Robert M. Hayes,et al.  Cooperative Game Theoretic Models for Decision-Making in Contexts of Library Cooperation , 2003, Libr. Trends.

[22]  S. Deshmukh,et al.  Revenue sharing in semiconductor industry supply chain: Cooperative game theoretic approach , 2009 .

[23]  José Ortega y Gasset,et al.  History as a system : and other essays toward a philosophy of history , 1961 .

[24]  Peter Fritzson,et al.  Principles of Object-Oriented Modeling and Simulation with Modelica 3.3: A Cyber-Physical Approach , 2014 .

[25]  Christopher G. Langton,et al.  Life at the Edge of Chaos , 1992 .

[26]  Amir Ahmadi-Javid,et al.  A Game-Theoretic Analysis for Coordinating Cooperative Advertising in a Supply Chain , 2011, J. Optim. Theory Appl..

[27]  Víctor A. Bucheli,et al.  Collective intelligence: analysis and modelling , 2015, Kybernetes.