Abstract: With the advent of e-systems; business and consumers have access to a plethora of information which makes the decision making process more complex. The overwhelming information flow makes it extremely difficult for decision makers to analyze the available data and make precise decisions. Under such an information intensive online environment, businesses need to make real time intelligent decisions in order to stay economically and commercially viable. Multi agent systems have the inherent ability
Multi agent system has been emerged as the most dominant research wing in the broad domain of artificial intelligence in recent time. The researchers endeavored to make several architectures to construct multi agent system with all its rational properties like autonomy, proactiveness, reactivity and social ability. Communication, cooperation and cognition are the fields relating multi agent system intimately and most researchers tried to configure those components in their proposed multi agent system
The Study of Intelligence Agents The study of intelligence agents has emerged as a more effective, practical alternative to artificial intelligence, or AI research. Alan Kay of Apple Computers and Nicholas Negroponte of MIT first wrote the concept of intelligence agents about in the 1970’s. Although no autonomous agents had been programmed, they envisioned them as an alternative to the development of AI. Throughout the 1950’s most engineers and scientists expected that AI research would bring
Multi agency working is a group of professionals working together as a team to provide the best possible services for their service users and to make sure the needs of the service user, parent/carer are met. Multi- agency working also use the holistic approach to make sure that each individual has effective and high standards services which is suitable for everyone. Information is shared within the teams and they all decide what decision is best for that individual. There can be a wide range of
Weaknesses that Indonesian currently doesn’t lie in the system and the law that already exist. Indonesia weakness lies in the mindset of each population. Star from the representatives. Those who have been elected by the people are not really striving to escort these goods system. There is only a representative of the people who fought for the interests of the party and personal gain alone. Political costs are very high that only borne by making them have to replace the personal costs incurred. Even
an active research environment present there. A graduate degree will help strengthen my knowledge base and also further my career prospects. I chose Information Technology as my major for undergraduate studies in order to understand how software systems are built. In 3rd semester, I became acquainted with object oriented design. By using this programming paradigm, I was able to code better and faster. I also studied component based development through JavaBeans and was found it to be a novel approach
K. Eric Drexler is known to be “the founding father of nanotechnology,” and theorized the creation of mechanical nanoscale systems that would revolutionize the world of manufacturing and technology. However, many opponents of his theory feared the implications and applications of such nanotechnology, and therefore began to spread panic through the concept of the menacing “grey goo.” “Prey” by Michael Crichton delves into the concepts Drexler proposed concerning nanorobotics computation and artificial
introduced as a learning technique in environments where more than two agents act autonomously, where each one has its own information about and knowledge about the world and the other agents. Manly Social learning, like reinforcement learning, was developed using some traits of human behavior, i.e. the ability of humans to learn from environments that are rich in people, interactions and lots of unknown information. For a game agent, the social environment is a game with all its components and entities
A trouble ticket system is a software system which works on multi-channel customer requests centralised management. It can help streamline work flow processes, track and solve requests more effectively and improve customer satisfaction. Ticket is this case is as same as medical report which records trouble description, process and result. Finally, it is archived after it closeshttp://doc.otrs.org/3.3/en/html/introduction.html. Open-source Ticket Request System (OTRS), is a free, open-source and
the scope, time frame and reference mode of the model. Step 2: Model Building – aims at representing the real world influences between the variables of interest in an suitable layout. This may be applied using a quantitative approach such defining a system of simultaneous Ordinary Differential Equations (ODEs) or linear programming or a qualitative approach such as a structural dependency representation using causal diagrams. There are other hybrid methods which can be adopted, which combine quantitative
of all the necessary paperwork from four weeks minimum to a matter of hours. Lifexpress should be assessed on its own merits and not on comparisons to competitor systems. Lifexpress was received positively by Lenox’s technologically challenged agents. This could only mean that the agents will get the hang of using the Lifexpress system given time. Having a handicap of technological incompetence. The completion of the Lifexpress project in itself was a success. The project was made operational on
Walmart Information Systems Founded in 1962 by Sam Walton, Walmart has grown to be the largest retailer on the globe. Driven by Mr. Walton’s 10 rules to build a business, Walmart promises to “save people money so they can live better (Wal-Mart Stores, Inc., 2014)”. One of those rules is to “control your expenses better than your competition (Wal-Mart Stores, Inc., 2014)”. Walmart is recognized as leader in incorporating cutting edge information systems and processes that drive out costs and provide
i.e. a system configured to do so. Search and Planning: It is an important area when it comes to games like chess and checkers. Various search algorithms are used to search for an appropriate move. Planning algorithms have to be designed in a way to minimize play time and also reduce the use of future resources. Artificial Neural Network (ANN): For a machine to think like a human mind, one must design a human mind for it. ANN represent the working of the brain in social beings. A system that consists
Emergent phenomena result from patterns of collective behavior that form in the system; they cannot necessarily be foreseen from understanding the individual elements of a system (Hammond, 2009). In other words, the sum of a system may be greater than its parts in ways that are difficult to understand in traditional linear thinking. Ultimately, most community interventions fail to perform appropriate programmatic
terrorist attack involving hazardous materials) to which their communities are vulnerable. Following identification of these hazards, emergency planners should consider the extent to which different hazard agents make similar demands on the emergency response organization. When two hazard agents have similar characteristics, they are likely to require the same emergency response functions. Commonality of emergency response functions provides multiple use opportunities for personnel, procedures, facilities
home task on what they want to buy. Moreover, when customers want help through phone or online chat, they expect agents to be able to share their screen and arrange orders in actual time. Agents should also know their history – what they’ve bought before, what they use, and what their order looked like minutes or hours ago, before they changed
cooperative used in agents, their similarities and differences. Concurrency is an essential part of multitasking; after all using concurrency signifies executing several tasks at the same time or at least to give that impression, “Concurrency is an illusion of parallelism. Thus, two tasks are concurrent if there is an illusion that they are being performed in parallel, whereas, in reality, only one of them may be performed at any time. ” (D.M.Dhamdere, 2006, p91).However, in the case of multi-core processors
The multi-channel distribution strategy allows both indirect and direct distribution methods to be used. Heaven’s Helper for Hair will sell directly to the consumer via their website and will also sell indirectly via beauty shops, beauty supplies and travel agents. Multi-channel can be successful because it allows customer the option of doing business the way they want to do it as told by Fan and Lu (2015). When using the multi-channel distribution strategy, it is
understanding the emergence of antibiotic resistance, most of which reached the conclusion of Darwinian selection being the reason for the resistance. One of the understood contributions of antibiotic resistance are the toxin-antitoxin systems, which maintain multi-resistant plasmids. In order to combat resistance, researchers have studied cell wall hydrolases, and using them
effort using a principle-agent model and the bidding competition in order to get the efficient bid. Section IV presents a numerical application using the classical Garver six-bus system. Finally conclusions are drawn in Section V. 2. Survey of previous work In the literature, there are examples of transmission expansion problems solved by cooperative and non-cooperative games. ... ... middle of paper ... ...7] J. D. Molina, J. Contreras, H. Rudnick, “A Principal-Agent Approach to Transmission