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Agent-Based Ubiquitous Computing / by Eleni Mangina, Javier Carbo, José M. Molina
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Atlantis Ambient and Pervasive Intelligence ; 1 | SpringerLink BücherPublisher: Paris : Atlantis Press, 2010Description: Online-Ressource (XIII, 196p, digital)ISBN:- 9789491216312
- 006.3
- 004
- Q334-342 TJ210.2-211.495
- Q334-342
- TJ210.2-211.495
Contents:
Summary: Ubiquitous computing is the third wave in computing, where the widespread use of new mobile technology-implementing wireless communications such as personal digital assistants (PDAs) and smart phones enables a new type of advanced applications. In the past years, the main focus of research in mobile services has aimed at the anytime, anywhere principle (ubiquitous computing). However, there is more to it than that. The increasing demand for distributed problem solving led to the development of multi-agent systems. The latter are formed from a collection of independent software entities whose collective skills can be applied in complex and real-time domains. The target of such systems is to demonstrate how goal-directed, robust and optimal behavior can arise from interactions between individual autonomous intelligent software agents. These software entities exhibit characteristics like autonomy, responsiveness, pro-activeness and social ability. Their functionality and effectiveness has proven to be highly dependent on the design and development of the application domain or context. Context is the set of suitable environmental states and settings concerning a user, which is relevant for a situation-sensitive application in the process of adapting the services and information offered to the user. Agent technology seems to be the right technology to offer the possibility of exploring the dynamic context of the user in order to provide value-added services or to execute more and complex tasks. In this respect, agent-based ubiquitous computing can benefit from marrying the agent-based technology with the extensive use of distributed functionality, to be deployed for lightweight devices. It also enables the combination of ubiquity and intelligence in different application areas and enables to approach multiple research topics in computer science, artificial intelligence and engineering from a new perspective.PPN: PPN: 1651282579Package identifier: Produktsigel: ZDB-2-SCS
Atlantis Ambient and Pervasive Intelligence; Preface; Contents; Chapter 1: Solving Conflicts in Agent-Based Ubiquitous Computing Systems: A Proposal Based on Argumentation; 1.1 Introduction; 1.2 Classification of authorization policies conflicts; 1.3 The basics of argumentation; 1.4 Using argumentation to resolve policy conflicts; 1.5 Related work; 1.6 Conclusions and future work; 1.7 Acknowledgments; Chapter 2: Mixed Reality Agent (MiRA) Chameleons; 2.1 Introduction; 2.2 Social interface agents; 2.3 Ubiquitous robots; 2.3.1 Augmented HRI and immersive interfaces; 2.4 Ubiquitous agents
2.4.1 Discussion2.5 Dynamic embodiment; 2.5.1 Agent chameleons; 2.5.2 Discussion; 2.6 MiRA chameleons; 2.6.1 Requirements; 2.6.2 The socially situated agent architecture (SoSAA); 2.6.3 Implementation; 2.6.4 Testbed; 2.6.5 Discussion; 2.7 Conclusion; Chapter 3: A Generic Architecture for Human-Aware Ambient Computing; 3.1 Introduction; 3.2 Modelling approach; 3.2 Modelling approach; 3.3 Global structure of the agent-based generic model; 3.4 Generic ambient agent and world model; 3.5 Case study 1: An ambient driver support system; 3.6 Case study 2: Ambient aggression handling system
3.6 Case study 2: Ambient aggression handling system3.7 Case study 3: Ambient system for management of medicine usage; 3.8 Specification and verification of dynamic properties; 3.9 Discussion; 3.10 Appendix 1: Driver case; 3.10.1 Driver assessment agent: Domain-specific temporal rules; 3.10.2 Cruise control agent: Domain-specific temporal rules; 3.10.3 Steering monitoring agent: Domain-specific temporal rules; 3.10.4 Steering sensoring agent: Domain-specific temporal rules; Gaze-focus monitoring agent: Domain-specific temporal rules
3.10.5 Gaze-focus sensoring agent: Domain-specific temporal rules3.10.6 Alcohol-level monitoring agent: Domain-specific temporal rules; 3.10.7 Alcohol sensoring agent: Domain-specific temporal rules; 3.10.8 Driver: Domain-specific temporal rules; 3.10.9 Car and environment: Domain-specific temporal rules; 3.11 Appendix 2: Aggression handling case; 3.11.1 Sound analysis agent: Domain-specific temporal rules; Camera control agent: Domain-specific temporal rules; 3.11.2 Microphone agent: Domain-specific temporal rules; Camera agent: Domain-specific temporal rules
3.11.3 Persons in crowd: Domain-specific temporal rules3.11.4 Police officer at station: Domain-specific temporal rules; 3.11.5 Police officer at street: Domain-specific temporal rules; 3.12 Appendix 3: Medicine usage case ; 3.12.1 Medicine box agent; 3.12.2 Usage support agent; Chapter 4: e-Assistance Support by Intelligent Agents over MANETs; 4.1 Introduction; 4.1.1 Multi agent systems (MAS); 4.1.2 Ubiquitous computing; 4.1.3 Case based reasoning; 4.1.4 Peer-to-peer; 4.1.5 Mobile ad-hoc networks; 4.2 System architecture; 4.2 System architecture; 4.2.1 Reasoning process
4.2.2 Communication process
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