scispace - formally typeset
Search or ask a question
Topic

Contract Net Protocol

About: Contract Net Protocol is a research topic. Over the lifetime, 606 publications have been published within this topic receiving 13729 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: A coordination scheme for holonic systems, based on a mix between contract net protocol and distributed constraint satisfaction problems, can ensure the right trade-off between complexity and optimality, and the attached model can constitute the required link between design and implementation, thus contributing to an easier deployment of holonic system.

15 citations

Journal ArticleDOI
TL;DR: A multi-agent fusion and coordination system is presented to deal with the damage identification for the strain distribution and joint failure in the large structure and shows that the method can significantly improve the monitoring performance for the large-scale structure.

15 citations

Book ChapterDOI
24 Sep 2018
TL;DR: This work presents a distributed and scalable drone delivery system based on the contract net protocol for task allocation and the ROS hybrid behaviour planner (RHBP) for goal-oriented task execution.
Abstract: The demand for fast and reliable parcel shipping is globally rising Conventional delivery by land requires good infrastructure and causes high costs, especially on the last mile We present a distributed and scalable drone delivery system based on the contract net protocol for task allocation and the ROS hybrid behaviour planner (RHBP) for goal-oriented task execution The solution is tested on a modified multi-agent systems simulation platform (MASSIM) Within this environment, the solution scales up well and is profitable across different configurations

15 citations

Proceedings ArticleDOI
20 Jun 2010
TL;DR: This work introduces a new Trust Establishment Protocol (TEP) in CNP, thereby improving CNP and the proposed new version shall be referred to as CNTEP Architecture.
Abstract: Contract Net Protocol (CNP) is a means to specify problem-solving communication required in a distributed multi-agent environment. Although, FIPA standardized CNP addresses most of the issues with respect to communication happening among agents in a Multi-Agent Environment (MAE), issues related to establishing trust-worthy communication amongst agents is still prevailing. This work introduces a new Trust Establishment Protocol (TEP) in CNP, thereby improving CNP. The proposed new version shall be referred to as CNTEP Architecture. Introduction of TEP in existing CNP would help in ensuring truthfulness of agents which is crucial for open, dynamic and heterogeneous multi-agent systems.

15 citations

Proceedings ArticleDOI
E. Malville1, F. Bourdon
03 Jul 1998
TL;DR: The aim is to provide task allocation protocols for building Multi-Agents Systems in distributed environments based on a Group Self-Design (GSD) approach that enables a group to be sub-divided autonomously and independently of the others.
Abstract: This paper focuses on distributed task allocation mechanisms in Open Multi-Agents Systems. Our aim is to provide task allocation protocols for building Multi-Agents Systems in distributed environments. The mechanism we propose is based on a Group Self-Design (GSD) approach. From a global point of view the GSD protocols enable the search space to be organised into a tree-structure in which nodes are agent groups. From a local point of view they enable a group to be sub-divided autonomously and independently of the others. The purpose of GSD is to limit the network load created by the management of the system dynamic and by the search of task solvers. We put forward an evaluation of our approach in terms of network load in relation to the contract net protocol of R.G. Smith (1980) and to the agent group model of B. Dillenseger and F. Bourdon (1995).

15 citations


Network Information
Related Topics (5)
Wireless sensor network
142K papers, 2.4M citations
76% related
Control theory
299.6K papers, 3.1M citations
74% related
Fuzzy logic
151.2K papers, 2.3M citations
73% related
Feature extraction
111.8K papers, 2.1M citations
73% related
Artificial neural network
207K papers, 4.5M citations
72% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20225
20218
202015
201916
201814
201713