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Proceedings ArticleDOI

An Interaction Protocol for Mutual Assistance in Agent Teamwork

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TLDR
Two versions of the Mutual Assistance Protocol are introduced: Action MAP, in which the helper performs an action within a teammate's individual plan, and Resource MAP,In which one or more helpers provide resources to a teammate.
Abstract
This paper proposes and explores an interaction protocol for incorporating helpful behavior into agent teamwork. In the proposed Mutual Assistance Protocol (MAP), an agent can directly assist a teammate who requests help, provided that the two agents jointly determine, based on their individual beliefs, that the expected outcome of the help act is in the interest of the team. This distributed decision is reached through a bidding sequence similar to the one in the Contract Net Protocol. The deliberation about help is approximate in that each agent only assesses the team impact of the change to its own individual plan. The paper introduces two versions of the protocol: Action MAP, in which the helper performs an action within a teammate's individual plan, and Resource MAP, in which one or more helpers provide resources to a teammate. Both versions include refinements for the handling of simultaneous help requests. A cooperative game simulation demonstrates the advantages of Action MAP over action help protocols that use unilateral decision mechanisms, and over teamwork scenarios without help. The experiments show how the team performance depends on: the teammates' mutual awareness of each other's abilities, dynamic disturbance in the environment, communication costs, and computation costs.

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Journal ArticleDOI

Learning collaborative team behavior from observation

TL;DR: This technique described here known as COLTS combines current research in teamwork simulation and learning from observation to effectively train a multi-agent system capable of displaying effective team behavior in limited domains.
Proceedings ArticleDOI

Requester vs. Helper-Initiated Protocols for Mutual Assistance in Agent Teamwork

TL;DR: Simulation experiments show that design refinements result in team performance gains over the original version of Action MAP, as the amount of agents' initial resources, dynamic disturbance in the environment, and communication costs are varied.
Proceedings ArticleDOI

A simulation framework for design-oriented studies of interaction models in agent teamwork

TL;DR: A new software framework for design-oriented simulation studies of interaction models used in agent teamwork that provides a generic simulator that can be instantiated with concrete multiagent system models to obtain custom simulators for specific experimental studies to reduce the design decision space through feedback from experiments performed during the early stages of interaction model development.
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Decentralized reactive adjustment of agent teamwork organization to changing environment

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Proceedings ArticleDOI

Design of Shopper Support Function by Cooperation of Agent-based IoT Devices

TL;DR: Wang et al. as discussed by the authors proposed a mechanism to provide new support services for shoppers by combining various IoT devices with suppressing influence to their regular jobs, and they described concept of agent-based IoT and design of this mechanism.
References
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Book

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

TL;DR: This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., online trading, offers a newly seen computer science perspective on multi agent systems, while integrating ideas from operations research, game theory, economics, logic, and even philosophy and linguistics.
Journal ArticleDOI

Incentives to help in multi-agent situations

Hideshi Itoh
- 01 May 1991 - 
TL;DR: In this article, the authors consider a situation where each agent can allocate his effort to various production activities called tasks, and the principal, who cannot observe the effort chosen by each agent, designs wage schedules contingent on outcomes.
Book ChapterDOI

Contextual performance and teamwork: Implications for staffing

TL;DR: The authors suggest that contextual performance (i.e. individual-level behavior that supports the social, organizational, and psychological environment in which task behaviors are performed) underlies teamwork, and task performance underlies taskwork.
Journal ArticleDOI

Agent decision-making in open mixed networks

TL;DR: This paper identifies a range of social attributes in an open-network setting that influence people's decision-making and thus affect the performance of computer-agent strategies, and establishes the importance of learning and adaptation to the success of such strategies.
Journal ArticleDOI

A theoretical framework on proactive information exchange in agent teamwork

TL;DR: A formal framework for proactive information delivery in agent teamwork is presented and a new modal operator, InfoNeed, is used to represent information needs, and axioms for anticipating the information needs of other agents are proposed and justified.
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