Reasoning about knowledge
Epistemic Logic for AI and Computer Science
Epistemic Logic for AI and Computer Science
Fundamenta Informaticae
Folk Psychology for Human Modelling: Extending the BDI Paradigm
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Complexity of a theory of collective attitudes in teamwork
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Evolution of Collective Commitment during Teamwork
Fundamenta Informaticae
A Tuning Machine for Cooperative Problem Solving
Fundamenta Informaticae - Multiagent Systems (FAMAS'03)
Collectively cognitive agents in cooperative teams
ESAW'04 Proceedings of the 5th international conference on Engineering Societies in the Agents World
A Framework for Graded Beliefs, Goals and Intentions
Fundamenta Informaticae - Understanding Computers' Intelligence Celebrating the 100th Volume of Fundamenta Informaticae in Honour of Helena Rasiowa
Taming the complexity of linear time BDI logics
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Epistemic profiles and belief structures
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
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For successful coordination and cooperation in a multiagent system, participants need to establish a sufficiently accurate awareness of the current situation. Awareness is understood here as a limited form of consciousness: in the minimal form, it refers to the state of an agent's beliefs about itself, about others and about the environment. When considered in the context of agents' mental states, this leads to distinguishing three levels of awareness: intra-personal (about the agent itself), inter-personal (about other agents as individuals), and group awareness.Problems in modeling agents' awareness on all three levels are analyzed. It turns out that both the communication medium and agents' cognitive and computational limitations make the achievement of awareness difficult. Cognitive science is used to analyze and explain problems in human awareness, based on the concept of bounded rationality. The BDI framework, originally designed to formally define agents' informational and motivational attitudes, turns out to be also fruitful both for precisely formulating the problems concerning agents' awareness, and, even more importantly, for formulating and comparing possible solutions. Thus, the two fields of cognitive science and MAS mutually benefit from each other's viewpoints, especially in the light of the currently growing need for teamwork in which both computational agents and humans are involved.In this paper, some possible avenues to solutions for defining and achieving appropriate levels of awareness are suggested. In some cases, these are concrete formal solutions, which have been adopted in our theory of collective motivational attitudes, presented in a number of conference and journal papers [5, 6, 7]. They give rise to more generic solutions that can be of use in any advanced BDI system, especially in those aiming to realize teamwork.