WP5: Incentives and Decision Making

WP5 deals with the design of decision-making strategies for allowing computers to work effectively with people in heterogeneous groups that interact in carrying out complex activities; and, the design of incentive mechanisms for facilitating people’s behaviour in these groups. Building on techniques from game-theory, bounded rationality, automated negotiation, we will provide methods to predict strategic human and machine behaviour so that incentive mechanisms can be “designed-to-purpose”, and assistive intelligent algorithms that support humans in complex decision-making environments to empower them as participants in HDA-CASs. This work package will involve a heavy element of empirical investigation in “serious games” scenarios, mapping the theoretical frameworks of WP2 to human-centric system models.