A Bayesian model of plan recognition
Artificial Intelligence
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans
Autonomous Agents and Multi-Agent Systems
A prototype infrastructure for distributed robot-agent-person teams
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
MONAD: a flexible architecture for multi-agent control
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
Towards collaborative task and team maintenance
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Supporting collaborative activity
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Flexible teamwork in behavior-based robots
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Incorporating observer biases in keyhole plan recognition (efficiently!)
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Robust agent teams via socially-attentive monitoring
Journal of Artificial Intelligence Research
Interactive execution monitoring of agent teams
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Journal of Artificial Intelligence Research
CAST: collaborative agents for simulating teamwork
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Modeling pedestrian crowd behavior based on a cognitive model of social comparison theory
Computational & Mathematical Organization Theory
Empirical evaluation of computational emotional contagion models
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
A new model of plan recognition
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Towards a computational model of social comparison: Some implications for the cognitive architecture
Cognitive Systems Research
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Almost all robots are autistic; very few humans are. Out of the box, robots generally do not behave correctly in social settings (involving humans, or other agents). Most researchers treat this challenge behaviorally, by superficially tacking task- and domain- specific social behavior onto functioning individual robots. These rules are built once, and applied once. In contrast, I posit that we can build better socially-capable robots by relying on general social intelligence building blocks, built into the brains of robots, rather than grafted on per mission: built once, applied everywhere. I challenge the autonomous agents community to synthesize the computational building blocks underlying social intelligence, and to apply them in concrete robot and agent systems. I argue that our field is in a unique position to do this, in that our community intersects with computer science, behavioral and social sciences, robotics, and neuro-science. Thus we can bring to bear a breadth of knowledge and understanding which cannot be matched in other related fields. To lend credibility for our ability to carry out this challenge, I will demonstrate that we have carried out similar tasks in the past (though at a smaller scale). I conclude with a sample of some open questions for research, raised by this challenge.