The synthesis of digital machines with provable epistemic properties
Proceedings of the 1986 Conference on Theoretical aspects of reasoning about knowledge
Planning for Conjunctive Goals
Planning for Conjunctive Goals
Large-scale concurrent computing in artificial intelligence research
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Linking perception and action through motivation and affect
Journal of Experimental & Theoretical Artificial Intelligence
Drinking from the firehose of experience
Artificial Intelligence in Medicine
Sensorimotor transformations in the worlds of frogs and robots
Artificial Intelligence
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence
An architecture for adaptive intelligent systems
Artificial Intelligence
Robotics and Autonomous Systems
Robotics and Autonomous Systems
Internalized plans: A representation for action resources
Robotics and Autonomous Systems
Integrating behavioral, perceptual, and world knowledge in reactive navigation
Robotics and Autonomous Systems
A biological perspective on autonomous agent design
Robotics and Autonomous Systems
Learning action effects in partially observable domains
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
HOPPER: a hierarchical planning agent for unpredictable domains
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
A survey of motivation frameworks for intelligent systems
Artificial Intelligence
A multi-agent approach for adaptive virtual organization using JADE
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
The thing that we tried didn't work very well: deictic representation in reinforcement learning
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Experiments toward a practical implementation of an intelligent kanban system
HoloMAS'05 Proceedings of the Second international conference on Holonic and Multi-Agent Systems for Manufacturing
Towards using first-person shooter computer games as an artificial intelligence testbed
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
Multi-agent reinforcement learning for simulating pedestrian navigation
ALA'11 Proceedings of the 11th international conference on Adaptive and Learning Agents
Guaranteeing real-time response with limited resources
Artificial Intelligence in Medicine
A domain-independent framework for modeling emotion
Cognitive Systems Research
Simulating activities: Relating motives, deliberation, and attentive coordination
Cognitive Systems Research
Transfer in reinforcement learning via shared features
The Journal of Machine Learning Research
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AI has generally interpreted the organized nature of everyday activity in terms of plan-following. Nobody could doubt that people often make and follow plans. But the complexity, uncertainty, and immediacy of the real world require a central role for moment-to-moment improvisation. But before and beneath any planning ahead, one continually decides what to do now. Investigation of the dynamics of everyday routine activity reveals important regularities in the interaction of very simple machinery with its environment. We have used our dynamic theories to design a program, called Pengi, that engages in complex, apparently planful activity without requiring explicit models of the world.