SOAR: an architecture for general intelligence
Artificial Intelligence
The agent network architecture (ANA)
ACM SIGART Bulletin
Artificial intelligence and mobile robots
An Behavior-based Robotics
Casper: Space Exploration through Continuous Planning
IEEE Intelligent Systems
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
The Belief-Desire-Intention Model of Agency
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Intelligence by design: principles of modularity and coordination for engineering complex adaptive agents
Comparative analysis of frameworks for knowledge-intensive intelligent agents
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Spartacus attending the 2005 AAAI conference
Autonomous Robots
Integrating motivations with planning
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Teleo-reactive programs for agent control
Journal of Artificial Intelligence Research
Reactive planning in a motivated behavioral architecture
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
MADbot: a motivated and goal directed robot
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Towards an integrated robot with multiple cognitive functions
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Decision-making in an embedded reasoning system
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Continual planning and acting in dynamic multiagent environments
Autonomous Agents and Multi-Agent Systems
Mixed-initiative in human augmented mapping
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
The behavior-oriented design of modular agent intelligence
NODe'02 Proceedings of the NODe 2002 agent-related conference on Agent technologies, infrastructures, tools, and applications for E-services
An investigation into reactive planning in complex domains
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
Pengi: an implementation of a theory of activity
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
Motivation management in AGI systems
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
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The ability to achieve one@?s goals is a defining characteristic of intelligent behaviour. A great many existing theories, systems and research programmes address the problems associated with generating behaviour to achieve a goal; much fewer address the related problems of how and why goals should be generated in an intelligent artifact, and how a subset of all possible goals are selected as the focus of behaviour. It is research into these problems of motivation, which this article aims to stimulate. Building from the analysis of a scenario involving a futuristic household robot, we extend an existing account of motivation in intelligent systems to provide a framework for surveying relevant literature in AI and robotics. This framework guides us to look at the problems of encoding drives (how the needs of the system are represented), goal generation (how particular instances of goals are generated from the drives with reference to the current state), and goal selection (how the system determines which goal instances to act on). After surveying a variety of existing approaches in these terms, we build on the results of the survey to sketch a design for a new motive management framework which goes beyond the current state of the art.