This paper presents a framework that enables autonomous agents to dynamically select the mechanism they employ in order to coordinate their inter-related activities. Adopting this framework means coordination mechanisms move from the realm of being imposed upon the system at design time, to something that the agents select at run-time in order to fit their prevailing circumstances and their current coordination needs. Empirical analysis is used to evaluate the effect of various design alternatives for the agent's decision making mechanisms and for the coordination mechanisms themselves
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Agent technology enables the designers of computer based systems to construct software agents that...
This paper presents a formal framework within which autonommous agents can dynamically select and ap...
This thesis presents and evaluates a decision making framework that enables autonomous agents to dyn...
This paper presents a formal framework within which autonomous agents can dynamically select and app...
This paper examines the potential and the impact of introducing learning capabilities into autonomou...
This paper examines the potential and the impact of introducing learning capabilities into autonomou...
This paper examines the potential and the impact of introducing learning capabilities into autonomou...
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designi...
Abstract. Agents in an organization need to coordinate their actions in order to reach the organizat...
Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reaso...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Coordination is a recurring theme in multiagent systems design. We consider the problem of achieving...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Agent technology enables the designers of computer based systems to construct software agents that...
This paper presents a formal framework within which autonommous agents can dynamically select and ap...
This thesis presents and evaluates a decision making framework that enables autonomous agents to dyn...
This paper presents a formal framework within which autonomous agents can dynamically select and app...
This paper examines the potential and the impact of introducing learning capabilities into autonomou...
This paper examines the potential and the impact of introducing learning capabilities into autonomou...
This paper examines the potential and the impact of introducing learning capabilities into autonomou...
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designi...
Abstract. Agents in an organization need to coordinate their actions in order to reach the organizat...
Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reaso...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Coordination is a recurring theme in multiagent systems design. We consider the problem of achieving...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Task-based planning problems for multi-agent systems require multiple agents to find a joint plan fo...
Agent technology enables the designers of computer based systems to construct software agents that...