A multi‐agent architecture for intelligent building sensing and control

Sharples, Sue; Callaghan, Vic; Clarke, Graham S.

doi:10.1108/02602289910266278

Cited by 93 publications

(47 citation statements)

References 1 publication

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“…A user profile can be encoded in a card key or a badge that can be read by an object through wireless communication (e.g., Bluetooth or RFID). Similar approaches have been used in designing Intelligent Environments (Sharples et al, 1999;Colley et al, 2001). To invoke the appropriate action, objects also require a mechanism that can identify the User Profile and combine it with their ability to sense the environment.…”

Section: A Multi-agent-based Intelligent Environment 41 Environment mentioning

confidence: 99%

An Application of the Theory of Collaborative Design to Intelligent Environments

Lee

2009

Journal of Asian Architecture and Building Engineering

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Intelligent Environments can respond to the changing needs of their users, activities, and contexts. They can automatically and dynamically adjust key environmental parameters, such as temperature, light, sound, furnishings, and more. However, most of the attempts to develop Intelligent Environments have focused on their technical aspects, and have largely ignored the dynamic interrelationship between the user and the built environment. As a result, the environmental conflicts among users, their activities and their physical settings have not been completely resolved. This paper applies concepts of environmental design to theorize a framework and propose a more comprehensive model for building Intelligent Environments. In contrast to the current approach, which is based on a systems theory, the method here looks to a collaborative design as a model: it views the modification of settings in Intelligent Environments as a dynamic, collaborative design activity akin to the work of a human design team. The proposed model is developed as a team-type structure of multiple intelligent agents, each of which can sense immediate changes in its domain of responsibility, and can propose corrective measures by negotiating with other agents to form a collective response.

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Section: A Multi-agent-based Intelligent Environment 41 Environment mentioning

confidence: 99%

An Application of the Theory of Collaborative Design to Intelligent Environments

Lee

2009

Journal of Asian Architecture and Building Engineering

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“…An essential ability of an agent must be its ability to learn from experience and hence adapt appropriately [29]. The authors of [29] further argue that this notion implies a system which can adapt and generate its own rules, instead of being restricted to simple automation.…”

Section: Agents and Intelligent Buildingsmentioning

confidence: 99%

Towards an Agent Based Framework for Modelling Smart Self-Sustainable Systems

Tomičić¹,

Schatten²

2015

: Interdiscip. Descr. Complex Syst.

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Self-sustainability is a property of a system; a system is considered to be self-sustainable if it can sustain itself without external support in an observed period of time. If this property is mapped to a human settlement in context of resources (water, energy, food, etc.), it would describe a human settlement which is independent of external resources (like the national electrical grid or a central water distribution system), where such external resources are either not available, or not desirable.This article contributes to presenting the state-of-the-art overview of self-sustainability-related research. While self-sustainability as in the above described form was not a direct subject of research, there are several fields which are either related to, or could be of significant value to the self-sustainability research in this context. The extensive literature overview also showed no frameworks for modeling self-sustainable systems in the context of human settlements. Herein a motivation for using agent-based modeling and simulation techniques will be given.

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“…This section provides an example from the intelligent buildings domain (based on [21]) to illustrate the main outputs of the innovation process. For space reasons, only the main steps of the innovation process and a partial sample list of competencies are addressed here.…”

Section: An Example Case (Intelligent Buildings)mentioning

confidence: 99%

An Agile Innovation Framework Supported through Business Incubators

Unal

Angelov

2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Abstract. Entrepreneurs and SMEs that develop new ideas are the main sources of innovation in products and services in the society. However, due to the lack of required resources and know-how innovation ideas may not develop into full-fledged results. Business incubators can play an important role here. They can provide innovators with the required enabling environment, guidelines, and tools supporting the innovation process. This paper proposes an enabling agile innovation framework, which is based on using VBE and VO paradigms. The paper first defines the innovation process, and then addresses a set of tools and mechanisms that need to be utilized to facilitate the innovation process. An example case in intelligent buildings is also provided.

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A multi‐agent architecture for intelligent building sensing and control

Cited by 93 publications

References 1 publication

An Application of the Theory of Collaborative Design to Intelligent Environments

An Application of the Theory of Collaborative Design to Intelligent Environments

Towards an Agent Based Framework for Modelling Smart Self-Sustainable Systems

An Agile Innovation Framework Supported through Business Incubators

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