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 maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The books main aims are: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology

An Introduction to MultiAgent Systems.

مدیریت هوشمند تاسیسات و بنا – مهتاب Building Management System – B.M.S.

Any large organisation spanning multiple buildings and locations faces the complex problem of managing resources and services in an effective, sustainable and reliable manner In order to do so, it is important to approach the problem from a behavioural, technical and policy aspects To begin with, we consider electricity as one resource in the campus of an educational institute In this paper we describe our approach to model a university campus as a socio-technical system and demonstrate the model through a prototype In the model, agents in the campus attempt to distribute the load based on these parameters while simultaneously attempting to save electricity Using the simulation we present the results for multiple scenarios of operation ranging from business-as-usual to a conservative system in the IIIT Bangalore campus

Modelling technology, policy and behaviour to manage electricity consumption

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Modelling technology, policy and behaviour to manage electricity consumption