Multiagent-Based Intelligent Environments PDF

Type or paste a DOI name into the text box. Please multiagent-Based Intelligent Environments PDF this error screen to sharedip-1071802190. The term „agent“ describes a software abstraction, an idea, or a concept, similar to OOP terms such as methods, functions, and objects.


Författare: Jaewook Lee.
Intelligent Environments can respond to the changing
needs of their users, activities, and contexts by
automatically adjust key environmental parameters.
However, most of attempts focus on the technical
aspects of physical artifacts instead of the dynamic
interrelationship between the user and the built
environment. Consequently, environmental conflicts
among users, activities, and physical settings
are not completely resolved. This study engages
environmental design concepts to theorize a
framework and propose a more comprehensive model for
building Intelligent Environments. In contrast to
the current approach based on systems theory, the
method here looks to collaborative design. The
proposed model is developed as a team-type
organization of multiple intelligent agents that can
sense immediate changes in its domain of
responsibility and propose corrective measures by
negotiating with other agents to form a collective
response. The theory and framework presented in this
study should be useful to those who have an interest
in the application of computing to the environmental
design fields, including architecture and interior
design.

All agents are programs, but not all programs are agents. Contrasting the term with related concepts may help clarify its meaning. Agents are more autonomous than objects. Agents have flexible behaviour: reactive, proactive, social. Agents have at least one thread of control but may have more.

Expert systems are not coupled to their environment. Expert systems are not designed for reactive, proactive behavior. Expert systems do not consider social ability. Software agents may offer various benefits to their end users by automating complex or repetitive tasks. However, there are organizational and cultural impacts of this technology that need to be considered prior to implementing software agents. People like to perform easy tasks providing the sensation of success unless the repetition of the simple tasking is affecting the overall output.

In general implementing software agents to perform administrative requirements provides a substantial increase in work contentment, as administering their own work does never please the worker. The effort freed up serves for a higher degree of engagement in the substantial tasks of individual work. The cultural effects of the implementation of software agents include trust affliction, skills erosion, privacy attrition and social detachment. Some users may not feel entirely comfortable fully delegating important tasks to software applications. Those who start relying solely on intelligent agents may lose important skills, for example, relating to information literacy. A self-contained, interactive and concurrently-executing object, possessing internal state and communication capability. Being an ideal first, this field experienced a series of unsuccessful top-down implementations, instead of a piece-by-piece, bottom-up approach.

These agents, also known as ’shopping bots‘, work very efficiently for commodity products such as CDs, books, electronic components, and other one-size-fits-all products. Buyer agents are typically optimized to allow for digital payment services used in e-commerce and traditional businesses. User agents, or personal agents, are intelligent agents that take action on your behalf. Check your e-mail, sort it according to the user’s order of preference, and alert you when important emails arrive. Play computer games as your opponent or patrol game areas for you. Assemble customized news reports for you. There are several versions of these, including CNN.

Find information for you on the subject of your choice. Monitoring and Surveillance Agents are used to observe and report on equipment, usually computer systems. The agents may keep track of company inventory levels, observe competitors‘ prices and relay them back to the company, watch stock manipulation by insider trading and rumors, etc. For example, NASA’s Jet Propulsion Laboratory has an agent that monitors inventory, planning, schedules equipment orders to keep costs down, and manages food storage facilities. These agents usually monitor complex computer networks that can keep track of the configuration of each computer connected to the network. A special case of Monitoring-and-Surveillance agents are organizations of agents used to emulate the Human Decision-Making process during tactical operations.

The Agents then pursue the Goals with the Assets at hand, minimizing expenditure of the Assets while maximizing Goal Attainment. This agent uses information technology to find trends and patterns in an abundance of information from many different sources. The user can sort through this information in order to find whatever information they are seeking. A data mining agent operates in a data warehouse discovering information. A ‚data warehouse‘ brings together information from lots of different sources. Data mining“ is the process of looking through the data warehouse to find information that you can use to take action, such as ways to increase sales or keep customers who are considering defecting. Classification‘ is one of the most common types of data mining, which finds patterns in information and categorizes them into different classes.

Data mining agents can also detect major shifts in trends or a key indicator and can detect the presence of new information and alert you to it. Search engine indexing bots also qualify as intelligent agents. Mail transfer agent – For serving E-mail, such as Microsoft Outlook. It even has rule sets that filter mail for the user, thus sparing them the trouble of having to do it themselves. Wireless beaconing agent is a simple process hosted single tasking entity for implementing wireless lock or electronic leash in conjunction with more complex software agents hosted e. Software bots are becoming important in software engineering.

An example of a software bot is a bot that automatically repairs continuous integration build failures. For software agents to work together efficiently they must share semantics of their data elements. This can be done by having computer systems publish their metadata. Agent systems are used to model real-world systems with concurrency or parallel processing. The agent uses its access methods to go out into local and remote databases to forage for content.

This entry was posted in Schule & Lernen. Bookmark the permalink.