Agent Communication Model Research Articles

Modeling communication of collaborative multiagent system under epistemic planning

In most multiagent applications, communication is essential among agents to coordinate their actions and achieve their goals. However, communication often has a related cost that affects overall system performance. In this paper, we draw inspiration from epistemic planning studies to develop a communication model for agents that allows them to cooperate and make communication decisions effectively within a planning task. The proposed model treats a communication process as an action that modifies the epistemic state of the team. We evaluate whether agents can cooperate effectively and achieve higher performance using communication protocol modeled in our epistemic planning framework in two simulated tasks. Based on an empirical study conducted using search and rescue tasks with different scenarios, our results show that the proposed model improved team performance across all scenarios than baseline models.

ACMICS: an agent communication model for interacting crowd simulation

We present and evaluate a novel approach to simulate communication between the agents. Our approach distinguishes low- and high-level communication tasks. This separation makes it easy to extend and use it in new scenarios. We highlight the benefits of our approach using different simulation scenarios consisting of hundreds of agents. We also model evacuation behavior in unknown environments and highlight the benefits of our approach particularly in simulating such behavior.

Mobile Agent Communication in Highly Dynamic Networks: A Self-Adaptive Architecture inspired by the Honey Bee Colony

Communication is considered as a building block for mobile agent systems. In highly dynamic networks, thanks to environmental stimuli such as changes in connection quality and network topology, performance of communication between mobile agents may be degraded considerably. With focus on attaining fault tolerance and reliability, we propose a context-aware architecture for agent communication model inspired by the honey bee colony. To validate the hypothesis, a software prototype has been designed and implemented according to the proposed mechanism. Encouraging experimental results on a test system show that our approach brings benefits to a colony of agent platforms.

A Push-Based Agent Communication Model Empowering Assistive Technologies

Nowadays Web services are one of the most commonly used technologies for distributed system integration and interoperability. Recently, a new communication technique called WebSockets has appeared for implementing Web services that offer a true server-push mechanism. In this paper we present a system based on it to manage agent communications, and we motivate its use in an Assistive Technologies use case. A new WebSocket Message Transport Protocol is described and an implementation for the Jade platform is presented. Subscription based agent interaction for the use case is presented, along with a comparison between WebSocket and HTTP Message Transport Protocols.

Multi-agent simulation of individual mobility behavior in carpooling

Carpooling is an emerging alternative transportation mode that is eco-friendly and sustainable as it enables commuters to save time, travel resource, reduce emission and traffic congestion. The procedure of carpooling consists of a number of steps namely; (i) create a motive to carpool, (ii) communicate this motive with other agents, (iii) negotiate a plan with the interested agents, (iv) execute the agreed plans, and (v) provide a feedback to all concerned agents. In this paper, we present a conceptual design of an agent-based model (ABM) for the carpooling a that serves as a proof of concept. Our model for the carpooling application is a computational model that is used for simulating the interactions of autonomous agents and to analyze the effects of change in factors related to the infrastructure, behavior and cost. In our carpooling application, we use agent profiles and social networks to initiate our agent communication model and then employ a route matching algorithm, and a utility function to trigger the negotiation process between agents. We developed a prototype of our agent-based carpooling application based on the work presented in this paper and carried out a validation study of our results with real data collected in Flanders, Belgium.

Simulation of Carpooling Agents with the Janus Platform

Carpooling is an emerging alternative transportation mode that is eco-friendly and sustainable as it enables commuters to save time, travel resource, reduce emission and traffic congestion. The procedure of carpooling consists of a number of steps namely; (i) create a motive to carpool, (ii) communicate this motive with other agents, (iii) negotiate a plan with the interested agents, (iv) execute the agreed plans, and (v) provide a feedback to all concerned agents. The state-of-the-art research work on agent-based modeling is limited to a number of technical and empirical studies that are unable to handle the complex agent behavior in terms of coordination, communication and negotiations. In this paper, we present a conceptual design of an agent-based model (ABM) for the carpooling a that serves as a proof of concept. Our model for the carpooling application is a computational model that is used for simulating the interactions of autonomous agents and to analyze the effects of change in factors related to the infrastructure, behavior and cost. In our carpooling application, we use agent profiles and social networks to initiate our agent communication model and then employ a route matching algorithm, and a utility function to trigger the negotiation process between agents. We plan to, as a part of the future work, develop a prototype of our agent-based carpooling application based on the work presented in this paper. Furthermore, we also intend to carry out a validation study of our results with real data.

A semantic publish-subscribe coordination framework for IHE based cross-community health record exchange

This paper presents a semantic agent coordination framework for the automatic exchange of Electronic Health Records (EHR). The framework enables health organizations that comply with the existing interoperability standards, as proposed by the Integrating Healthcare Enterprise (IHE), to dynamically connect in a P2P network. A set of autonomous agents and a set of distributed coordination rules are used to coordinate the agents in the search of specific health records. The framework models the interactions among the communities as a combination of the tuple centre agent communication model with the publish-subscribe paradigm and semantic web technologies. In order to illustrate the scalability of our approach, we evaluate the proposed solution in distributed settings. The contribution of this work is that it proposes the coordination mechanisms for IHE compliant communities to dynamically connect and share EHR of patients.

Simulation Model of Carpooling with the Janus Multiagent Platform

Carpooling is an emerging alternative transportation mode that is eco-friendly and sustainable as it enables commuters to save time, travel resource, reduce emission and traffic congestion. The procedure of carpooling consists of a number of steps namely; (i) create a motive to carpool, (ii) communicate this motive with other agents, (iii) negotiate a plan with the interested agents, (iv) execute the agreed plans, and (v) provide a feedback to all concerned agents. The state-of-the-art research work on agent-based modeling is limited to a number of technical and empirical studies that are unable to handle the complex agent behavior in terms of coordination, communication and negotiations. In this paper, we present a conceptual design of an agent-based model (ABM) for the carpooling a that serves as a proof of concept. Our model for the carpooling application is a computational model that is used for simulating the interactions of autonomous agents and to analyze the effects of change in factors related to the infrastructure, behavior and cost. In our carpooling application, we use agent profiles and social networks to initiate our agent communication model and then employ a route matching algorithm, and a utility function to trigger the negotiation process between agents. We plan to, as a part of the future work, develop a prototype of our agent-based carpooling application based on the work presented in this paper. Furthermore, we also intend to carry out a validation study of our results with real data.

A Conceptual Design of an Agent-based Interaction Model for the Carpooling Application

Carpooling is an emerging alternative transportation mode that is eco-friendly and sustainable as it enables commuters to save time, travel resource, reduce emission and traffic congestion. The procedure of carpooling consists of a number of steps namely (i) create a motive to carpool, (ii) communicate this motive with other interested agents, (iii) negotiate a plan with the interested agents, (iv) execute the agreed plans and (v) provide a feedback to all concerned agents. The state-of-the-art research work on agent-based modeling is limited to a number of technical and empirical studies that are unable to handle the complex agent behavior in terms of coordination, communication and negotiations. In this paper we present a conceptual design of an agent-based model (ABM) for the carpooling application that serves as a proof of concept. Our agent-based model for the carpooling application is a computational model that is used for simulating the interactions of autonomous agents and to analyze the effects of change in factors related to the infrastructure, behavior and cost. In our agent-based carpooling application we use agent profiles and social networks to initiate our agent communication model and then employ a route matching algorithm and a utility function to trigger the negotiation process between agents. We plan to, as a part of the future work, develop a prototype of our agent-based carpooling application on the basis of the work presented in this paper. Furthermore, we also intend to carry out a validation study of our results with real data.

A New Communication Network Model for Chat Agents in Virtual Space

Internet chat programs and instant messaging services are becoming increasingly popular among Internet users. One of the crucial issues with Internet chat is how to manage the corresponding pairs of questions and answers in a sequence of conversations. Although many novel methodologies have been introduced to cope with this problem, most are poor in managing interruptions, organizing turn-taking, and conveying comprehension. The Internet environment is recently evolving into a 3D environment, but the problems with managing chat dialogues with the standard 2D text-based chat have remained. Therefore, we propose a more realistic communication model for chat agents in 3D virtual space in this paper. First, we propose a new method to measure the capacity of communication between chat agents and a novel visualization method to depict the hierarchical structure of chat dialogues. In addition, we are concerned with communication networks for virtual people (avatars) living in virtual worlds. In this paper we consider a microscopic aspect of a social network in a relatively short period of time. Our experiments show that our model is highly effective in a virtual chat environment, and the communication network based on our model greatly facilitates investigation of a very large and complicated communication network.

Stochastic model analysis on train agents communication

Purpose – The purpose of this paper is to investigate the reliable and steady working conditions of train agent systems while connected to the internet. The train agents can provide more accurate assistant navigation service and more useful “live” information service to ensure traveling crane safety. However, all these services seriously rely on reliability and stability of communication quality of the train agents. To ensure the stable and continuous work of the train agents, the stochastic model of the train agent communication is investigated in this paper.Design/methodology/approach – According to Markov theory, the stochastic model of the train agent communication is established, the reliability of which is also investigated, the availability and mean‐link interruption times in steady state are then given out.Findings – In the end, the steady working condition and controllability of the train agents are discussed.Research limitations/implications – The correctness of the mathematic model in the main ...

COMMUNICATION LANGUAGES FOR MULTIAGENT SYSTEMS

Agent Communication Languages (ACLs) have recently acquired a primary role in open multiagent systems, which need a standard communication framework shared by all interacting heterogeneous agents. According to the most important ACL standard proposals so far, agents are supposed to carry out the communication process by performing actions of a specific type, namely, communicative acts, whose semantics is defined in terms of the agents' mental states. Although following the mainstream guidelines inspired by the Speech Act Theory, our work illustrates an alternative model of agent communication, by shifting the focus from agents' mental states to their social state. Taking an existing communicative act library, we provide a semantics for a significant set of acts based on the concept of commitment, and prove that our approach tackles some issues that have not been dealt with in an effective way yet and that may have hindered the rise of an universally accepted ACL standard.

Research on agent communication model and its application in electric system

It is important of Agent communication for the reality of coordination, cooperation and consistency in multi-Agent system. In this paper, an architecture of Agent communication is given. In order t...

From Message Exchanges to Communicative Acts to Commitments

Our research aims at providing an alternative model of agent communication to the one proposed by the Foundation for Intelligent Physical Agents (FIPA). We adopt the mainstream perspective that views agent communication as the performance of communicative acts, but we shift the focus from agents' mental states to their social state. Starting from the FIPA Communicative Act Library, we provide a commitment-based semantics for a significant set of acts. This analysis leads to a classification of such acts that is to shed some light on topics that have not been dealt with in an effective way yet.

Towards a theory of belief reconstruction: Application to communication

We present a theory of belief reconstruction to be embedded in an agent's communication model, which accounts for both belief persistence and revision. We analyse Cohen and Levesque (1990a)'s theories, highlight problems which arise, and show that our theory does not have these problems. The starting point of our theory is called the observation principle. It accounts for a distinction between what an agent observes from another agent, and the action the latter has really performed. The theory is couched in an autoepistemic logic used objectively, along the same lines as in (Levesque, 1990). When applied to a communication context, it is shown that it correctly predicts the changes in an observer's beliefs in test cases such as sincere assertion and (detected or non-detected) lie. Such test cases highlight the ability of the theory to handle not only normal dialogue situations but also those where problems arise due to erroneous perception, such as misrecognition in spoken communication.

A commitment-based communication model for distributed office environments

In an office environment where agents cooperate to accomplish a certain tasks, the agents perform their tasks based on certain plans. To ensure the integrity of their teamwork, agents communicate with one another to coordinate their plans. Meanwhile, tasks are distributed to other agents via this communication process. This report describes a commitment-based communication model for autonomous agents to synchronize and track their activities in office environments. The communication model includes a communication process, a set of protocols to bind commitments, a set of communication operators and a set of commitment tracking operators.