A review of smart homes-Present state and future challenges

http://www.eis.mdx.ac.uk/staffpages/juanaugusto/CookAJ2009.pdf

Review: Ambient intelligence: Technologies, applications, and opportunities

Many researchers have demonstrated that the organizational design employed by an agent system can have a significant, quantitative effect on its performance characteristics A range of organizational strategies have emerged from this line of research, each with different strengths and weaknesses In this article we present a survey of the major organizational paradigms used in multi-agent systems These include hierarchies, holarchies, coalitions, teams, congregations, societies, federations, markets, and matrix organizations We will provide a description of each, discuss their advantages and disadvantages, and provide examples of how they may be instantiated and maintained This summary will facilitate the comparative evaluation of organizational styles, allowing designers to first recognize the spectrum of possibilities, and then guiding the selection of an appropriate organizational design for a particular domain and environment

https://cse.unl.edu/~lksoh/Classes/CSCE990AMAS_Spring13/Seminar04.pdf

A survey of multi-agent organizational paradigms

Multiagent Systems is the title of a collection of papers dedicated to surveying specific themes of Multiagent Systems (MAS) and Distributed Artificial Intelligence (DAI). All of them authored by leading researchers of this dynamic multidisciplinary field.

/pdf/multiagent-systems-a-modern-approach-to-distributed-5fon0donq1.pdf

Multiagent systems: a modern approach to distributed artificial intelligence

How smart are our environments? An updated look at the state of the art

The specific organization used by a multi-agent system is crucial for its effectiveness and efficiency. In dynamic environments, or when the objectives of the system shift, the organization must therefore be able to change as well. In this paper we propose using a general diagnosis engine to drive this process of adaptation, using the \tems\ modeling language as the primary representation of organizational information. Results from experiments employing such a system in the Producer-Consumer-Transporter domain are also presented.

/pdf/using-self-diagnosis-to-adapt-organizational-structures-3t3qi17834.pdf

Using self-diagnosis to adapt organizational structures

In this paper we describe our solution to a real-time distributed resource allocation application involving distributed situation assessment. The hardware configuration consists of a set of reconfigurable sensors at fixed locations, each having local processing and low-bandwidth communication capabilities with other sensor nodes. The objective is to track objects moving in the environment in real-time as best as possible, given uncertainty and constraints on sensor loads, communication, power consumption, action characteristics, and clock synchronization. Once the target is detected, the sensors must communicate and cooperate so that, within a given window of time, the data needed to triangulate the position of the target can be collected. Our solution to this problem decomposes the environment into a number of sectors, where individual sensor nodes in a sector are specialize dynamically to address different parts of the goal. We describe our solution to this problem in detail, including the high-level architecture and a number of the more interesting implementation challenges. Results and future direction are also covered.

Distributed sensor network for real time tracking

http://www.csc.villanova.edu/~klassner/pubs/klassner-BIG-AIJ2000.pdf

BIG: an agent for resource-bounded information gathering and decision making

Intelligent environments are an interesting development and research application problem for multi-agent systems. The functional and spatial distribution of tasks naturally lends itself to a multi-agent model and the existence of shared resources creates interactions over which the agents must coordinate. In the UMASS Intelligent Home project we have designed and implemented a set of distributed autonomous home control agents and deployed them in a simulated home environment. Our focus is primarily on resource coordination, though this project has multiple goals and areas of exploration ranging from the intellectual evaluation of the application as a general MAS testbed to the practical evaluation of our agent building and simulation tools.

/pdf/the-intelligent-home-testbed-183pxpy7pw.pdf

Bryan Horling

Papers

A survey of multi-agent organizational paradigms

Using self-diagnosis to adapt organizational structures

Distributed sensor network for real time tracking

BIG: an agent for resource-bounded information gathering and decision making

The Intelligent Home Testbed