Agent based smart house platform with affective control

Benta, Kuderna-Iulian; Hoszu, Amalia; Văcariu, Lucia; Cret, Octavian

doi:10.1145/1551722.1551740

Cited by 16 publications

(6 citation statements)

References 6 publications

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“…Applying MAS in AmI is not a new topic and several proposals integrating devices have already been presented in simulated smart homes such as [9]. However, it does not use AOPL, the agents do not use a cognitive model, and the implementation is tied to the solution.…”

Section: Related Workmentioning

confidence: 99%

A Heterogeneous Architecture for Integrating Multi-Agent Systems in AmI Systems (S)

Pantoja¹,

Jesus²,

Manoel³

et al. 2018

International Conferences on Software Engineering and Knowledge Engineering

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Several challenges arise when applying Multi-Agent System (MAS) in Ambient Intelligence scenarios such as the heterogeneity of the hardware and the domain where it is applied. There are several applications that use Agent-Oriented approaches but they provide solutions that tie the hardware to the software, and they do not provide generic architectures. So, in this paper, we propose a heterogeneous architecture for applying different microcontrollers in the design of embedded MAS for such kind of systems. An architecture and a small-scale prototype of a smart home assembled with several hardware devices connected to different ATMEGA and PIC microcontrollers are presented as proof-of-concept. Our architecture shows to be effective in several tests performed using different implementation strategies.

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Section: Related Workmentioning

confidence: 99%

A Heterogeneous Architecture for Integrating Multi-Agent Systems in AmI Systems (S)

Pantoja¹,

Jesus²,

Manoel³

et al. 2018

International Conferences on Software Engineering and Knowledge Engineering

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show abstract

“…In [15], the impact of dynamic and complex of multi-agent research was studied in the context of smart environments. In [16], the authors built a system that merges multi-agents and ontologies to support behavior changes based on effective user feedback. In [17] a multi-agent system allowed specific smart applications and their user interfaces to be dynamically updated.…”

Section: Related Workmentioning

confidence: 99%

A New Service Oriented Framework for Self-Adapting Smart Applications in Mobile Environment

Ghoneim¹

2018

JSW

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Successful coupling of service-oriented and agent-oriented architectures can produce applications that are self-adaptive in both behavior and structure over a long life span. In practice, this requires detecting and handling of changes to runtime requirements, consistency in reconfiguration, and separation of the controller from the application itself. To cope with these challenges, we propose a new framework for self-adaptive and dynamically reconfigurable smart applications. This framework is composed of loosely coupled base and controller layers. The base layer consists of a base application and base controller, while the controller layer consists of detector-classifier, inference, and evaluation sub-layers. The detector-classifier layer monitors and detects runtime events within the base application. In the inference layer, an adaptive driver agent creates new adaptation plans. The evaluation layer refines the plan currently in place and compares it with new adaptive plans. We simulated and evaluated the proposed framework behavior in a smart home environment.

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“…A more detailed study of multi-agent group behavior, with physical models of sensors and actuators, needs a proper simulation/implementation platform. Among existing implementation platforms of multi-agent systems, such as Zeus, TAOM4E [26], JADE is the most popular one due to the use of the Java programming language and its compliance with IEEEstandards on Foundation for Intelligent Physical Agents (FIPA) [27]. Furthermore, its mobile versions (JADE Leap, SubSense) can be implemented on Android devices and Java-based SunSPOT sensor motes [28].…”

Section: Related Workmentioning

confidence: 99%

A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation

Sun

Weihong

Kochurov

et al. 2013

JSAN

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The smart-house technology aims to increase home automation and security with reduced energy consumption. A smart house consists of various intelligent sensors and actuators operating on different platforms with conflicting objectives. This paper proposes a multi-agent system (MAS) design framework to achieve smart house automation. The novelties of this work include the developments of (1) belief, desire and intention (BDI) agent behavior models; (2) a regulation policy-based multi-agent collaboration mechanism; and (3) a set of metrics for MAS performance evaluation. Simulations of case studies are performed using the Java Agent Development Environment (JADE) to demonstrate the advantages of the proposed method

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Agent based smart house platform with affective control

Cited by 16 publications

References 6 publications

A Heterogeneous Architecture for Integrating Multi-Agent Systems in AmI Systems (S)

A Heterogeneous Architecture for Integrating Multi-Agent Systems in AmI Systems (S)

A New Service Oriented Framework for Self-Adapting Smart Applications in Mobile Environment

A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation

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