Measuring the Social Ability of Software Agents

To evaluate the global quality of a software agent it is necessary to define appropriate quality characteristics and to determine a set of measures for these features. A comprehensive set of measures has not yet been developed for agent-oriented software. However, some software measures have been adopted from other software paradigms, especially from the object-oriented paradigm because they have features in common. A key characteristic defining a software agent is its social ability, that is, its ability to interact with other agents to achieve its goals. This paper presents a first approximation to a set of measures for evaluating the social ability of software agents for use in the calculation of a global value for this characteristic.

[1]  Reiner R. Dumke,et al.  Performance Engineering in Agent-based Systems Concepts, Modelling and Examples , 2001 .

[2]  A. Abrao,et al.  Measuring Software Agent ’ s Intelligence , 2000 .

[3]  Zahia Guessoum.  Adaptive agents and multiagent systems , 2004, IEEE Distributed Systems Online.

[4]  Behrouz H. Far,et al.  Metrics for agent-based software development , 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

[5]  Alessandro Genco,et al.  An agent-based service network for personal mobile devices , 2006, IEEE Pervasive Computing.

[6]  Ana Mas.  Agentes software y sistemas multiagente : conceptos, arquitecturas y aplicaciones , 2005 .

[7]  Marios D. Dikaiakos,et al.  Performance Evaluation of Mobile Agents: Issues and Approaches , 2001, Performance Engineering.

[8]  Thomas Ledoux.  Adaptability in Mobile Agent Systems using Reflection , 2000 .

[9]  Barbara A. Kitchenham,et al.  The use and usefulness of the ISO/IEC 9126 quality standard , 2005, 2005 International Symposium on Empirical Software Engineering, 2005..

[10]  Jennifer Bigus,et al.  Constructing intelligent agents using JAVA , 1998 .

[11]  Rolf Pfeifer,et al.  Understanding intelligence , 2020, Inequality by Design.

[12]  S. Covey.  The seven habits of highly effective people. , 1991, National medical-legal journal.

[13]  Luigi Benedicenti,et al.  Establishing quality control in software agents , 2001, SIAP.

[14]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[15]  N. Chapman,et al.  Performance engineering , 1997 .

[16]  K. Dautenhahn,et al.  The agent-based perspective on imitation , 2002 .

[17]  Tim Storer,et al.  Agent Testing in an Ambient World , 2006 .

[18]  L. Gottfredson.  Mainstream science on intelligence: An editorial with 52 signatories, history, and bibliography , 1997 .

[19]  Hyacinth S. Nwana,et al.  Software agents: an overview , 1996, The Knowledge Engineering Review.