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Wednesday, November 4, 2020 | History

3 edition of Context-aware Emotion-based Multi-agent Systems (Decision Engineering) found in the catalog.

Context-aware Emotion-based Multi-agent Systems (Decision Engineering)

Rajiv Khosla

Context-aware Emotion-based Multi-agent Systems (Decision Engineering)

  • 283 Want to read
  • 36 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Artificial intelligence,
  • Technology,
  • Technology & Industrial Arts,
  • Science/Mathematics,
  • Engineering (General),
  • Affective Computing,
  • Decision-making,
  • Emotions,
  • Human-Computer Interaction (HCI),
  • Multi-agent Systems,
  • Technology / Engineering / General,
  • Electronics - General,
  • Engineering - General

  • The Physical Object
    FormatHardcover
    Number of Pages400
    ID Numbers
    Open LibraryOL11914379M
    ISBN 101846283701
    ISBN 109781846283703

    D. Ayata, Y. Yaslan, E. Kamasak M. Emotion Based Music Recommendation System Using Wearable Physiological Sensors[J]. IEEE Transactions on Consumer Electronics, , PP(99): Google Scholar; Towards context-sensitive collaborative media recommender system[J]. Multimedia Tools and Applications, , 74(24): Google Scholar; L. ICE: self-configuration of information processing in heterogeneous agent teams. Share on. Authors. This article addresses the problem of finding suitable agents to collaborate with for a given interaction in distributed open systems, such as multiagent and P2P systems. The agent in question is g.


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Context-aware Emotion-based Multi-agent Systems (Decision Engineering) by Rajiv Khosla Download PDF EPUB FB2

Context-aware Emotion-based Multi-agent Systems is the first book to systematically cover the modelling of emotions and emotional states in human decision making and describe how human problem-solving may be integrated with intelligent technologies and intelligent agents.

The end result is an intelligent multi-agent architecture whose. Multi-agent system (MAS) is an expanding field in science and engineering. It merges classical fields like game theory with modern ones like machine learning and computer science.

This book provides a succinct introduction to the subject, covering the theoretical fundamentals as well as the latter developments in a coherent and clear : Jorge Rocha. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice.

It is suitable for classroom use or independent study. This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in   Costa H., Macedo L.

() Emotion-Based Recommender System for Overcoming the Problem of Information Overload. In: Corchado J.M.

et al. (eds) Highlights on Practical Applications of Agents and Multi-Agent Systems. PAAMS Communications in Computer and Information Science, vol Springer, Berlin, HeidelbergCited by: The main goal of this article is to show a context-aware PAA multi-agent system (CAPMAS) framework and how it conveys context-aware computing and agent technologies into ubiquitous system.

We use context-awareness to provide computing environments with the ability to usefully adapt the services or information they provide. Example 2. Consider an emotion cause event illustrated in Example 1, which contains seven seventh clause (c 7) is the emotion clause, which contains the emotion word “excited”.All the words except the emotion word “excited” in c 7 are the context of the emotion word.

In other words, the context of the emotion word in Example 1 is “The fans of Chuanjun Wang were”. Pinheiro P., Macedo M., Barbosa R., Santos R., Novais P. () Multi-agent Systems Approach to Industry Enabling Collaboration Considering a Blockchain for Knowledge Representation.

In: Bajo J. et al. (eds) Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS   To improve such interoperability, this article suggests a multi-agent system through web ontology links.

In particular, the work presents an effective model for an Emergency Search and Rescue System based on the mobile service and multi-agents which aid in improving the existing system, and also discusses the base technology and limitations. Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume ) Abstract Emotions have attracted much interest in the Multi Agent Systems community, mainly due to their significance in creating simulations that.

iv Contents Definition of games in normal form 55 More examples of normal-form games 56 Strategies in normal-form games 59 Analyzing games: from optimality to equilibrium The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other.

These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy).

This book assumes only basic knowledge of algorithms and discrete. Issues of Emotion-Based Multi-Agent System International Journal of Computer & Communication Technology (IJCCT) ISSN (ONLINE): - ISSN (PRINT): – Vol-3, Iss-3, 8.

A Formal Model of Emotion-Based Action Tendency for Intelligent Agents Bas R. Steunebrink, Mehdi Dastani, John-Jules Ch. Meyer Pages An Emotional and Context-Aware Model for Adapting RSS News to Users and Groups.

This book constitutes the refereed proceedings of the Workshops which complemented the 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMSheld in Salamanca, Spain, in May   Download the book (PDF) Multiagent Systems is copyright (c) Yoav Shoham and Kevin Leyton-Brown, Our contract with Cambridge allows us to distribute an uncorrected manuscript.

Thus, the PDF is formatted differently than the book—and in particular has different page numbering—and has not been fully copy edited. Please treat the printed.

The paper deals with context-awareness in M2 M communication and proposes rich presence information as a concept to address context information in a multi-agent system supporting networking of machines. Rich Presence Information Data (RPID) extensions suitable for M2 M are introduced into Context-aware Mobile Agent Network model.

The work described in, proposes a GDSS that uses a multi-agent system where each agent represents a decision-maker. In this paper, authors prove that in a GDSS, when emotions are contemplated, it. Context-Aware Service Provisioning in Next-Generation Networks: An Agent Approach: /ch This paper presents an application of multi-agent system in ubiquitous computing scenarios characteristic of next-generation networks.

Next-generation. In book: Context-Aware Pervasive Systems and Applications, pp Context-Aware Multi Agent System-My Optimization (CAMA-myOpt) has been implemented as an illustrative example system. This context-aware emotion-based model can help design intelligent agents for group decision making processes.

Experiments show that agents with emotional. For example, the use of emotions in a context-aware decision support system resulted to lesser communication time between agents [17] where in other cases emotions as well as personality and mood.

A system is context-aware if it can extract, interpret and use context information and adapt its functionality to the current context of use. Multi-agent planning generalizes the problem of planning in domains where several agents plan and act together, and. Context aware systems have evolved into complex information systems capable of providing large quantities of information obtained from network sensors with heterogeneous characteristics.

This. The paper deals with context-awareness in M2 M communication and proposes rich presence information as a concept to address context information in a multi-agent system supporting networking of machines.

Rich Presence Information Data (RPID) extensions suitable for M2 M are introduced into Context-aware Mobile Agent Network model. Meanwhile, context-aware systems often handled by agent system. However, even though Petri nets have been used to model agent systems before, experiences of modeling agent system for context-aware system have been very few (Köhler et al.,Burkhard,Weyns and Holvoet,Kwon and Lee, ).

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Context-Aware Systems and Applications, ICCASAheld in Phu Quoc Island, Vietnam in November The 36 revised full papers presented were carefully selected and.

In this paper, we propose a pre-filtering recommendation system that considers the context of a coworking building and suggests the best workplaces to a user. A cyber-physical context-aware multi-agent system is used to monitor the building and feed the pre-filtering process using fuzzy logic. Multi-agent systems course at University Rovira i Virgili.

Slides mostly based on those of Rosenschein, from the content of the book by Wooldridge. Lecture 1-Introduction to agents and multi-agent systems. This paper proposes a context model which separates the upper and lower layer according to characteristic of each class using the Web Ontology Language (OWL).

We also present a context-aware multi-agent system (CAMAS) architecture which provides the solution of policy problem using the classification of rule and implementation of a rule-based engine. A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents.

Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components.

Multi-agent systems have been. A review of recent theories of emotion indicates close interconnections between emotion and social norms in human societies.

We consider the possibility of implementing these mutual influences in a multi-agent system in order to establish dynamic and flexible control structures. This paper proposes a novel context-aware recommender system using a pre-filtering process with fuzzy data collected by a context-aware multi-agent system (MAS) that monitors a coworking building.

The use of a cyber-physical MAS allows real-time monitoring of context data inside the coworking building, to be later fuzzified and used in the pre. This paper proposes a context-aware model based on Multi-Agent for communication and mobility. We suggest an agent model that integrates the software agents of the application with the hardware agents of the physical environment.

We describe an integrated target tracking experiment, to demonstrate an implementation of this architecture. The infrastructure takes environment agent as the center.

Supporting Context-Aware Interaction in Dynamic Multi-Agent Systems Christine Julien1 and Gruia-Catalin Roman2 1 Department of Electrical and Computer Engineering The University of Texas at Austin @ 2 Department of Computer Science and Engineering Washington University in Saint Louis [email protected] Abstract.

The Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models brings together views and approaches from different communities including MAS, computational organizational simulation, social simulation, organizational theory, and cognitive science, to present the intersections of the different topics.

Containing Format: Hardcover. Pervasive computing technology plays a key role for providing context information and offering context-aware services, which allows users to obtain digitized contents and services from wired and wireless networks virtually anywhere at any time via different handheld mobile devices.

In this paper, we propose an agent-based context-aware middleware for pervasive computing environment, which is. In this chapter, we describe an architecture that relies on the incorporation of intelligent multi‐agent systems (MAS), sensor networks, mobile sensors, actuators, Web services and ontologies.

We describe the interaction of these technologies into the architecture aiming at facilitating the construction of context‐aware systems. Agents and multi-agent systems are related to a modern software paradigm which has long been recognized as a promising technology for constructing autonomous, complex and intelligent systems.

The topics covered in this volume include agent-oriented software engineering, agent co-operation. We’ve developed a context-aware emotion- based model to design intelligent agents for group decision-making processes.

To evaluate this model, we’ve incorporated it in an agent-based simulator called ABS4GD (Agent-Based Simulation for Group Deci- sion), which we developed. This multiagent. A multi-agent system is a federation of agents interacting in a shared environment that cooperate and coordinate their actions to achieve their own goals or the global system goals.

A MAS design can be beneficial in many domains, particularly when a system is composed of several entities that are distributed or spatially functionally [ 12 ]. This study proposes a context-aware auction solution suitable for the intelligent user.

The solution informs the most reasonable prices for brokers after considering the size of each species of the catch along with other information and their effects on the fish price.

This solution is expected to improve the safety of the catch and increase the competitiveness of auction sites by introducing.Get this from a library! Context-aware systems and applications: second International Conference, ICCASAPhu Quoc Island, Vietnam, November, Revised selected papers.

[Phan Cong-Vinh; Vangalur Alagar; Emil Vassev; Ashish Khare;] -- This book constitutes the thoroughly refereed proceedings of the Second International Conference on Context-Aware Systems and .Intelligent Networking, Collaborative Systems and Applications - Ebook written by Santi Caballé, Fatos Xhafa, Ajith Abraham.

Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Intelligent Networking, Collaborative Systems and Applications.