Commitments help model interactions in multiagent systems in a computationally realizable yet high-level manner without compromising the autonomy and heterogeneity of the member agents. Recent work shows how to combine commitments with goals and apply planning methods to enable agents to determine their actions. However, previous approaches to modeling commitments are confined to propositional representations, which limits their applicability in practical cases. We propose a first-order representation and reasoning technique that accommodates templatic commitments and goals that may be applied repeatedly with differing bindings for domain objects. Doing so not only leads to a more perspicuous modeling, but also supports many practical pa...
The notion of commitment is central to understanding agents and multiagent systems. At least two kin...
Distributed Artificial Intelligence systems, in which multiple agents interact to improve their indi...
We regard simulation as a set of interaction episodes between partaking agents in an agent-based s...
This paper seeks to combine two largely independent threads of multiagent systems research---agent s...
We consider the problem of relating an agent’s internal state (its beliefs and goals) and its social...
Commitments capture how an agent relates to another agent, whereas goals describe states of the worl...
Abstract. Modeling and regulating interactions among agents is a crit-ical step in the development o...
In a cooperative system, multiple dynamic entities work together and share their resources to achiev...
Abstract. Commitments are a powerful representation for modeling multiagent interactions. Previous a...
Abstract. Whereas commitments capture how an agent relates with another agent, (private) goals descr...
This article addresses the challenge of planning coordinated activities for a set of autonomous agen...
. Social commitments have long been recognized as an important concept for multiagent systems. We pr...
Multiagent social commitments provide a principled basis for agent interactions, and serve as a natu...
An agent coordinating with another needs a model of the other agent to avoid interference or to prom...
In this research, commitments - specifically collective commitments - are looked at as a way to mode...
The notion of commitment is central to understanding agents and multiagent systems. At least two kin...
Distributed Artificial Intelligence systems, in which multiple agents interact to improve their indi...
We regard simulation as a set of interaction episodes between partaking agents in an agent-based s...
This paper seeks to combine two largely independent threads of multiagent systems research---agent s...
We consider the problem of relating an agent’s internal state (its beliefs and goals) and its social...
Commitments capture how an agent relates to another agent, whereas goals describe states of the worl...
Abstract. Modeling and regulating interactions among agents is a crit-ical step in the development o...
In a cooperative system, multiple dynamic entities work together and share their resources to achiev...
Abstract. Commitments are a powerful representation for modeling multiagent interactions. Previous a...
Abstract. Whereas commitments capture how an agent relates with another agent, (private) goals descr...
This article addresses the challenge of planning coordinated activities for a set of autonomous agen...
. Social commitments have long been recognized as an important concept for multiagent systems. We pr...
Multiagent social commitments provide a principled basis for agent interactions, and serve as a natu...
An agent coordinating with another needs a model of the other agent to avoid interference or to prom...
In this research, commitments - specifically collective commitments - are looked at as a way to mode...
The notion of commitment is central to understanding agents and multiagent systems. At least two kin...
Distributed Artificial Intelligence systems, in which multiple agents interact to improve their indi...
We regard simulation as a set of interaction episodes between partaking agents in an agent-based s...