Agent-Human Complex Games for Multi-agent Studies - IEEE CoG2022 Keynote IV

Keynote IV of 2022 IEEE Conference on Games given by Sarit Kraus, with the title of Agent-Human Complex Games for Multi-agent Studies.

Intelligent computer agents are increasingly deployed in group settings where they interact with people to carry out tasks. To operate effectively in such settings, computer agents need capabilities for making decisions and negotiating with other participants—both people and computer-based agents.

To construct effective agent strategies, it is almost impossible to use only a purely analytical approach, but there is a need to learn and evaluate agent strategies empirically in specific domains. In the talk, we will discuss five types of domains:

(i) real applications, such as agents for road safety;

(ii) simulations of real applications such as autonomous car simulations;

(iii) complex, off-the-shelf games such as Diplomacy or card games;

(iv) designed games for the specific research questions such as the Colored Trails environment; and

(v) abstract simple games such as the Ultimatum game.

For each of the domain types, we will present several examples and demonstrate their use in agents’ development and evaluation. We will discuss the advantages and the challenges of agent studies in each of the settings.