Design-to-time real-time scheduling
Design-to-time real-time scheduling
Designing behaviors for information agents
AGENTS '97 Proceedings of the first international conference on Autonomous agents
A computational approach to organizations and organizing
Simulating organizations
The CMUnited-97 robotic soccer team: perception and multiagent control
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Toward robust agent control in open environments
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
BIG: an agent for resource-bounded information gathering and decision making
Artificial Intelligence - Special issue on Intelligent internet systems
Distributed sensor network for real time tracking
Proceedings of the fifth international conference on Autonomous agents
Resource-Bounded Searches in an Information Marketplace
IEEE Internet Computing
Investigating Interactions between Agent Conversations and Agent Control Components
Issues in Agent Communication
Relating Quantified Motivations for Organizationally Situated Agents
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Coordinated Hospital Patient Scheduling
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
An Experimental Evaluation of Domain-Independent Fault Handling Services in Open Multi-Agent Systems
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Criteria-Directed Heuristic Task Scheduling TITLE2:
Criteria-Directed Heuristic Task Scheduling TITLE2:
Design-to-Criteria Schedulin: Real-Time Agent Control TITLE2:
Design-to-Criteria Schedulin: Real-Time Agent Control TITLE2:
Environment centered analysis and design of coordination mechanisms
Environment centered analysis and design of coordination mechanisms
Toward quantified control for organizationally situated agents
Toward quantified control for organizationally situated agents
Integrative negotiation in complex organizational agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
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Control for agents situated in multi- agent systems is a complex problem. This is particularly true in hard, open, dynamic environments where resource, privacy, bandwidth, and computational limitations impose restrictions on the type of information that agents may share and the control problem solving options available to agents. The MQor motivational quantities framework addresses these issues by evaluating candidate tasks based on the agent's organizational context and by framing control as a local agent optimization problem that approximates the global problem through the use of state and preferences.