Trust and deception in virtual societies
Trust and deception in virtual societies
Social trust: a cognitive approach
Trust and deception in virtual societies
Simulation for the Social Scientist
Simulation for the Social Scientist
SMASS: A Serial Multi-Agent System for Social Simulation
Tools and Techniques for Social Science Simulation
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Developing artificial agents worthy of trust: "Would you buy a used car from this artificial agent?"
Ethics and Information Technology
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A program for the simulation of rationalsocial normative trust, predictive `trust,' andpredictive reliance between agents will beintroduced. It offers a tool for socialscientists or a trust component for multi-agentsimulations/multi-agent systems, which need toinclude trust between agents to guide thedecisions about the course of action. It isbased on an analysis of rational socialnormative trust (RSNTR) (revised version ofM. Tuomela 2002), which is presented andbriefly argued. For collective agents, beliefconditions for collective agency should beadded. For the various forms of trust agentsmust have (at least) subjectively rationalreasons to believe that the conditions of thetrust account are fulfilled. A list of suchreasons (of varied weights), e.g., given byempirical research, can manually be built intoa parameter file or be generated by a callingprogram in a fixed format. From this list ofreasons the program randomly generates a beliefbase for the agents of the artificial society.Reasons can be chained together so that one setof reasons satisfies several belief conditions.The program checks if the conditions arefulfilled for the artificial agents' socialnormative trust/predictive `trust'/`predictive reliance' in another agent that hewill perform an action X. Each outcome islogged to a result file. In conclusion wediscuss various aspects of the application of atrust component of the suggested kind inempirical research, social simulation, andmulti-agent systems.