Agile strategic information systems based on axiomatic agent architecture

Strategic decisions to be made by Strategic Information systems in uncertain environments are considered as the main concern of organizations to achieve differentiating advantages. Architecting such a Strategic Information System (SIS) in which strategic decisions are made continuously can be well performed by employing an axiomatic design approach. The main advantage of axiomatic design approach relies in its potential to determine basic constituents of an agent based SIS. People may decide differently in the same situation not because they are logical but because they sometimes decide emotionally. Regarding emotional characteristics of human being, architecting an SIS based on emotional agents has been proposed in a model. The model contributes in strategic decision making using axiomatic design theory. The main advantage of employing axiomatic design theory is to consider critical points such as emotional decision making and flexibility which results in agile SIS.

[1]  Christine L. Lisetti,et al.  Emotions and Personality in Agent Design and Modeling , 2001, ATAL.

[2]  Steve Caplin,et al.  Principles Of Design , 2011 .

[3]  Cengiz Kahraman,et al.  Multi-attribute information technology project selection using fuzzy axiomatic design , 2005, J. Enterp. Inf. Manag..

[4]  M. Seif El-Nasr,et al.  A fuzzy emotional agent for decision-making in a mobile robot , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[5]  Aaron Sloman,et al.  What Are Emotion Theories About , 2004 .

[6]  Juan David Velásquez,et al.  When Robots Weep: Emotional Memories and Decision-Making , 1998, AAAI/IAAI.

[7]  Osman Kulak,et al.  A complete cellular manufacturing system design methodology based on axiomatic design principles , 2005, Comput. Ind. Eng..

[8]  Vincent A. Cicirello A Game-Theoretic Analysis of Multi-Agent Systems for Shop Floor Routing , 2001 .

[9]  Gustavo Nucci Franco,et al.  Towards an axiomatic framework to support the design of holonic systems , 2001, 12th International Workshop on Database and Expert Systems Applications.

[10]  Nam P. Suh,et al.  Design and operation of large systems , 1995 .

[11]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[12]  C. Togay,et al.  Detection of Component Composition Mismatch with Axiomatic Design , 2006, Proceedings of the IEEE SoutheastCon 2006.

[13]  Aaron Sloman,et al.  Why Robots Will Have Emotions , 1981, IJCAI.

[14]  R. Ventura,et al.  Experiments with an Emotion-based Agent using the DARE Architecture , 2001 .

[15]  Peter R. Wurman,et al.  Market structure and multidimensional auction design for computational economies , 1999 .

[16]  John Yen,et al.  FLAME—Fuzzy Logic Adaptive Model of Emotions , 2000, Autonomous Agents and Multi-Agent Systems.

[17]  Nicholas R. Jennings,et al.  Socially Responsible Decision Making by Autonomous Agents , 1999 .

[18]  Suzanne Pinson,et al.  An Intelligent Distributed System for Strategic Decision Making , 1997 .

[19]  Efraim Turban,et al.  Information Technology for Management: Making Connections for Strategic Advantage , 2000 .

[20]  Efraim Turban,et al.  Information Technology for Management: Making Connections for Strategic Advantage,3rd Edition , 2001 .

[21]  Mohsen Akbarpour Shirazi,et al.  An intelligent agent-based architecture for strategic information system applications , 2007, Knowl. Based Syst..

[22]  Gerardus de Vreede,et al.  Group Decision and Negotiation: Behavior, Models, and Support , 2019, Lecture Notes in Business Information Processing.

[23]  Michael Wooldridge,et al.  Intelligent agents: theory and practice The Knowledge Engineering Review , 1995 .

[24]  Leslie Pack Kaelbling,et al.  Reinforcement Learning by Policy Search , 2002 .

[25]  Richard S. Sutton,et al.  Introduction to Reinforcement Learning , 1998 .

[26]  Nam P. Suh Design of Systems , 2007 .

[27]  Nam P. Suh,et al.  Axiomatic Design Theory for Systems , 1998 .

[28]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[29]  Michael P. Wellman,et al.  A Parametrization of the Auction Design Space , 2001, Games Econ. Behav..

[30]  Christine L. Lisetti,et al.  Emotions and Personality in Agent Design and Modeling , 2001, User Modeling.