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Regulated MAS: Social Perspective

Risk assessment through argumentation over contractual data

Dynamically Maintaining Standards Using Incentives

Computing Card Probabilities in Texas Hold'em

Policies for role maintenance through incentives: how to keep agents on track

Trust and Normative Control in Multi-Agent Systems

A Simulation System to Support Computer Poker Research

The development of Poker agents is a meaningful domain for AI research because it addresses issues such as opponent modeling, risk management and decision-making under uncertain information. The competitiveness of Poker agents is typically measured through simulation systems that run a series of games. However, current systems do not provide an adequate toolset for as-sessing the agents’ capabilities sinc...

Dynamic Discovery and Maintenance of Role-based Performance Standards

Trust and Normative Control in Multi-Agent Systems: An Empirical Study

ANTE: Agreement Negotiation in Normative and Trust-Enabled Environments

Research on negotiation and task allocation has been in the multi-agent systems realm since its inception as a research field. More recently, social aspects of agenthood have received increasing attention, namely developing on the fields of normative and trust systems. The integration of these different research contributions will allow to build robust applications for electronic agreement negotiation, aiming ...