The Use of Norms Violations to Model Agents Behavioral Variety

In multi-agent applications, normative systems are usually used to regulate the behavior of the agents. They provide an efficient means to ensure limited deviations from an expected ideal behavior. Many works have been done in this classical research direction, less frequent are the works on norms in simulation. In this paper we focus on the simulation of spatially situated agents, typically moving around simulated physical environments. Our goal is to provide a mechanism allowing an efficient generation of consistent agents characteristics. We propose to model behavioral differentiation as violations of the norms, and show its application to traffic simulation with the driving simulation software used at Renault, scan e r TM.

[1]  Frank Dignum,et al.  Towards socially sophisticated BDI agents , 2000, Proceedings Fourth International Conference on MultiAgent Systems.

[2]  B Schnetzler,et al.  MICROSCOPIC TRAFFIC SIMULATION AND DRIVER BEHAVIOUR MODELLING: THE ARCHISIM PROJECT , 1995 .

[3]  Guido Boella,et al.  Regulative and Constitutive Norms in Normative Multiagent Systems , 2004, KR.

[4]  Philippe Mathieu,et al.  TIME AND SPACE MANAGEMENT IN CROWD SIMULATIONS , 2006 .

[5]  Pablo Noriega,et al.  Coordination, Organizations, Institutions, and Norms in Agent Systems III, COIN 2007, International Workshops COIN@AAMAS 2007, Honolulu, HI, USA, May 14, 2007, COIN@MALLOW 2007, Durham, UK, September 3-4, 2007, Revised Selected Papers , 2008, COIN.

[6]  Sylvain Piechowiak,et al.  Non-normative Behaviour in Multi-agent System: Some Experiments in Traffic Simulation , 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[7]  Pablo Cayetano Noriega Blanco-Vigil.  Agent mediated auctions: the fishmarket metaphor , 1998 .

[8]  Milind Tambe,et al.  Intelligent Agents VIII , 2002, Lecture Notes in Computer Science.

[9]  R E Dewar.  INDIVIDUAL DIFFERENCES. IN: HUMAN FACTORS IN TRAFFIC SAFETY , 2002 .

[10]  Bastin Tony Roy Savarimuthu,et al.  Role Model Based Mechanism for Norm Emergence in Artificial Agent Societies , 2007, COIN.

[11]  Julian Padget,et al.  Formalizing a Language for Institutions and Norms , 2001, ATAL.

[12]  J. A. Rothengatter,et al.  Traffic and Transport Psychology , 1997 .

[13]  Philippe Mathieu,et al.  Time and Space Management in Crowd Simulation , 2006 .

[14]  Frank Dignum,et al.  Deliberative Normative Agents: Principles and Architecture , 1999, ATAL.

[15]  Philippe Mathieu,et al.  Towards Traffic Generation with Individual Driver Behavior Model Based Vehicles , 2007 .

[16]  Esko Keskinen,et al.  DRIVER BEHAVIOUR AS A HIERARCHICAL SYSTEM , 2001 .

[17]  Javier Vázquez-Salceda,et al.  Organizing Multiagent Systems , 2005, Autonomous Agents and Multi-Agent Systems.

[18]  Johan Olstam.  Simulation of rural road traffic for driving simulators , 2005 .

[19]  Maite López-Sánchez,et al.  Adaptation of Autonomic Electronic Institutions Through Norms and Institutional Agents , 2006, ESAW.

[20]  Lars Åberg,et al.  Driver Behaviour in Intersections: Formal and Informal Traffic Rules , 2005 .

[21]  Peter Willemsen,et al.  Steering behaviors for autonomous vehicles in virtual environments , 2005, IEEE Proceedings. VR 2005. Virtual Reality, 2005..

[22]  Jordi Casas,et al.  Dynamic Network Simulation with AIMSUN , 2005 .

[23]  Benoit Lacroix,et al.  A Normative Model for Behavioral Differentiation , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[24]  Leendert van der Torre,et al.  An architecture of a normative system , 2006 .

[25]  Maite López-Sánchez,et al.  Towards Self-configuration in Autonomic Electronic Institutions , 2006, COIN@AAMAS/ECAI.