Showing papers by "Massimo Paolucci published in 2000"

A planning component for RETSINA agents

Abstract: In the RETSINA multi-agent system, each agent is provided with an internal planning component-HITaP. Each agent, using its internal planner, formulates detailed plans and executes them to achieve local and global goals. Knowledge of the domain is distributed among the agents, therefore each agent has only partial knowledge of the state of the world. Furthermore, the domain changes dynamically, therefore the knowledge available might become obsolete. To deal with these issues, each agent's planner allows it to interleave planning and execution of information gathering actions, to overcome its partial knowledge of the domain and acquire information needed to complete and execute its plans. Information necessary for an agent's local plan can be acquired through cooperation by the local planner firing queries to other agents and monitoring for their results. In addition, the local planner deals with the dynamism of the domain by monitoring it to detect changes that can affect plan construction and execution. Teams of agents, each of which incorporates a local RETSINA planner have been implemented. These agents cooperate to solve problems in different domains that range from portfolio management to command and control decision support systems'.

Agent interoperation across multiagent system boundaries

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Interleaving planning and execution in a multiagent team planning environment

Abstract: Agents in a multiagent system may need to share information and services. For this, they need to be able to interleave deliberative planning with execution of actions. The deliberative planning is needed to decide which actions to perform to achieve an objective, whereas execution of some of the actions is needed to make a more informed decision on the other actions and to access services provided by other agents. HITaP is a planner that interleaves planning and execution: using HITaP an agent can, during planning, gather information by either direct inspection of the domain or by ring queries to other agents and recording their answers. Interleaving planning and execution, as provided by HITaP, plays a crucial role in an agent's ability to construct shared plans with other agents and to manage the negotiation process that leads to agreement with the agent's teammates on these plans. HITaP is implemented and currently used as planning module for agents in the RETSINA multiagent system. These agents cooperate to solve problems in di erent domains that range from portfolio management to command and control decision support systems.1

Matchmaking to Support Intelligent Agents for Portfolio Management

Abstract: A-Match is a matchmaking system that allows agents to enter and exit the system dynamically. It employs a Matchmaker to support agents in the system in their exchange of services. A-Match lets human users interact with the Matchmaker. Through the A-Match users find agents that can provide needed services or advertise new agents. The functionality of the A-Match is displayed in the context of the Warren System, a system that supports the user to manage its own stock portfolio.