A key challenge to planning in multiagent systems is to deal with uncertainty related to coordination, which means to manage the interdependencies between agent activities. Typically, a decentralized agent has only partial knowledge of the system and must deal with nondeterministic outcomes of both local and nonlocal actions. While there are many multiagent planning approaches, the issue of unc...

Timed coordination is an important issue in the developement of multi-agent systems. However, introducing a formalism for modelling time and achieving coordination while respecting the autonomy of the agents is still a challenge. This paper describes a formalism for a timed coordination mechanism which conciliates the “free thinking”of an agent.

As agents populate Cyberspace in their many guises and roles, they coordinate and interact in different ways, spanning self-interested, as well as collaborative interactions. Agent coordination should be supported by an agent’s internal architecture and agent societal frameworks. We take a micro-economic view of coordination. In this talk we report on our work on adaptive agent architecture and...

In this paper, we propose a nested Petri net approach to model the coordination of multi-agent systems. A higher level net (called host net) defines the movements and coordination mechanism of agents, while lower level nets (called agent nets that are tokens of the host net) model the behavior of individual agents. A dynamic channel concept and the notation are introduced for modeling the commu...

Whenever a multiagent system is designed, many dependencies in the system are identified and must be solved in a correct way. Coordination deals with the management of such dependencies. For that, two complementary viewpoints can be distinguished: subjective coordination manages intra-agent aspects while objective coordination essentially deals with inter-agent aspects. On the basis of this sep...

An intelligent multiagent system includes a number of software agents interacting to solve a problem. Various agents are responsible for planning different tasks. These tasks must be coordinated to solve complex problems. A number of reasons exist for which coordination among the agents is necessary, and numerous issues have to be tackled to achieve efficient coordination. The focus of this pap...

In this paper, we apply agent technology to develop autonomous WfMS with a separately coordinative interface to fulfill the consideration of security for inter-organizational applications. The proposed agent-based coordinative WfMS (ACWS) are implemented on a JADE platform containing three normal containers. The client container works as an agent pool to support client’s operations about submit...

A generic Mediator architecture for distributed task planning and coordination has been developed using multi-agent paradigms. In this approach, agents function autonomously as independent computing processes, and dynamic virtual clusters coordinate the agent’s activities and decision making. This coordination involves dynamically created coordination agents and resource agents concurrently. Th...

Though research on agents that interact with humans via voice or text has been intensively conducted, agents that can interact with more than two persons in parallel have not been studied well. To enable an agent to interact with multiple people, we propose a method to assign multiple scenarios to one agent, in which each scenario describes an interaction protocol between the agent and one pers...

We examine an approach to multi-agent coordination that builds on earlier work on enabling single agents to control their reasoning in dynamic environments. Specifically, we study a generalization of the filtering strategy. Where single-agent filtering means tending to bypass options that are incompatible with an agent's own goals, multi-agent filtering means tending to bypass options that are ...