Expert Systems: The Past, Present and Future of Knowledge-based Systems
Expert Systems were invented as a way to decrease the reliance by corporations on human "experts" -- people who apply reasoning and experience to make judgements in a specific field, such as medicine, insurance underwriting or the operation of a power-plant. Hence, an expert system should include a database of facts and a way of reasoning about them. In many, but not all, applications it is also helpful to have a way for the system to reason with probabilities or non-Boolean truth values. Expert systems are also sometimes referred to a "knowledge-based systems".
In classical AI many different reasoning methods have been tried. A few of the common ones are "forward
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... if the effective domain decompositions are not known and the available domain knowledge is limited to the set of allowable actions and constraints. An example of such a problem is maze traversal, where the knowledge about the structure of the maze is not available a priori.
"Class 2. These are the problems where problem solving task-reduction rules are known. However, the overall problem-solving process is not structured. Many game-playing machines (bridge, backgammon, etc) are examples.
"Class 3. Problems where the problem-solving process is well-structured, while the resulting plan exhibits flexibility... Examples of such problems are cooking instructions and trip planning.
"Class 4 problems are the problems where both the problem-solving strategy and the resulting plan have a fixed unalterable architecture. In this case, the solution is usually in the form of plan parameters that then fit into the predefined plan schema. An example of such a plan could be crop management planning." (Martínez 146-147)
Classes 4 and 3 are especially amenable to implementation as expert-systems, but some of the prototypical systems fell into Class 2.
Early
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In business environments, when computers were first invented, special individuals (computer operators) had the responsibility of "interpreting" the computer's output. The same people sometimes had to "fix" or "prepare" input to the computer as well; they might have to punch paper cards, or type up data-files a certain way, or patch values into a program to reflect current conditions. However, as computers became more widespread and powerful, and more people became "computer-literate", the artificial human layer became insupportable. To the extent that expert systems were only an attempt to soften the human-machine interface, they went in the wrong direction. The typical expert system asked questions in a predetermined order according to what the original expert thought was important, until a conclusion could be reached. Some companies used their expert systems to hide proprietary business processes from lower-level employees; legally, this became indefensible. Some users soon found that an expert system was too slow, and it was relegated to merely a training-function for new
The Revisionists and the orthodox views are different opinions on President Truman’s decision to use the atomic bomb. The revisionists believed that Truman’s decision was wrong and there could have been alternatives. They say that the Bomb was unnecessary and it was only used as a “diplomatic tool” and to show the power of th...
The war was coming to a victorious conclusion for the Allies. Germany had fallen, and it was only a matter of time until Japan would fall as well. Secretary of War Henry L. Stimson was at the forefront of the American war effort, and saw atomic weaponry as a way out of the most monumental war ever. As discussed in Cabell Phillips’ book, The Truman Presidency: The History of a Triumphant Succession, Stimson was once quoted as saying that the atomic bomb has “more effect on human affairs than the theory of Copernicus and the Law of Gravity” (55). Stimson, a defendant of dropping the bomb on Japan, felt that the world would never be the same. If the world would change after using atomic weapons, could it possibly have changed for the better? One would think not. However, that person might be weary of the biased opinion of White House personnel. He or she should care more for the in depth analytical studies done by experts who know best as to why America should or should not have dropped the atomic bomb. As more and more evidence has been presented to researchers, expert opinion on whether or not the United States should have dropped the two atomic bombs on Hiroshima and Nagasaki has also changed. More and more researchers seem to feel that the atomic bomb should never have been used (Alperovitz 16). Despite several officials’ claims to enormous death estimations, an invasion of Japan would have cost fewer total lives. In addition, post atomic bomb repercussions that occurred, such as the Arms Race, were far too great a price to pay for the two atomic drops. However, possibly the most compelling argument is that Japan would have surrendered with or without the United States using the atomic bomb. In defiance of top...
In Prompt and Utter Destruction, J. Samuel Walker provides the reader with an elaborate analysis of President Truman’s decision behind using the atomic bomb in Japan. He provokes the reader to answer the question for himself about whether the use of the bomb was necessary to end the war quickly and without the loss of many American lives. Walker offers historical and political evidence for and against the use of the weapon, making the reader think critically about the issue. He puts the average American into the shoes of the Commander and Chief of the United States of America and forces us to think about the difficulty of Truman’s decision.
Due to the unique nature of the intelligence field, error of judgments can (and has) had catastrophic consequences. These errors are a result of complex decision making processes involved in the generation of intelligence products, affected by not only training and expertise, but by cognitive factors, particularly bias. The aim of this paper is to identify two different models of decision making (bounded rationality and intuitive decision making), the biases found in both models that affect the final intelligence product, and how these biases can be mitigated in order to avoid intelligence failures or minimise their impact.
The case based reasoning system proposed here mimics the human decision making process by learning from previous experience and using the knowledge to solve current problem. This system will utilize previous adverse episodes and their solutions to prevent reoccurrences, and also to detect the oc...
Most people think of someone using their cell phone while driving when they hear distracted driving, but it it much more than that. Distracted driving is when someone who is behind the wheel get distracted by either taking their hands off the wheel or take their mind of driving, which can cause them to get into an accident (paragraph 2). Distracted driving is broken down into three main parts, manual distractions which is taking your hands off the steering wheel, visual distractions which is taking your center of attention off the road and cognitive distraction which is when your mind is not focused on driving and just starts drifting away (paragraph 3). Cell phone use is easily the biggest cause of distracted driving compared to eating, talking, and others because using your cell phone requires visual, manual and cognitive attention from the person behind the wheel and in a study by the National Highway Traffic Safety Association, the amount of people who break the law and use a handheld device behind the wheel increases every single year. An estimated amount of more than, six hundred thousand people use their phone while driving. Distracted driving has quickly risen and developed in the past few years and is becoming an enormous problem. In a recent study, the National Highway Traffic Safety Administration (NHTSA), showed statistics of approximately three thousand, one hundred fifty
An Article by Dr. Leong and Dr. Bodrova (2016) stated that play is beneficial to children’s learning especially when it reaches a certain degree of complexity. When they engage in play activities most of their early years, they learn to delay gratification and to prioritize their goals and actions. They also learn to consider the perspectives and needs of other people and to represent things significantly to regulate their behavior and actions in a cautious, intentional way.
In their 1973 article they declared that the ways for solving problems by linear method for problem solving are over and this is the effect of the change in the modern society and increasing social complexities which makes it difficult to define the problems and also that the dependency is based on political reasoning. [ 1] According to the complexities involved in the problem, and methodologies used for solving the problems, planning problems can be categorized into three categories, Tame problems, Wicked problems and Super wicked problems.... ... middle of paper ... ...
A case referring to the beneficial use of the expert systems in the health sector was the attempt of the LDS Hospital in Salt Lake city,Utah to build “ the most complex artificial intelligence system ever created'; according to the words of DR David Classen.Its name was AIC or “Antibiotic Computer Consultant'; and it was part of HELP(Health Evaluation through Logical Processing), which was LDS’s hospital information system. The latter was existed, before the implementation of the Expert System.
Thinking back on my childhood, I first remember all the times I played outside in my backyard. I would pretend to dig up dinosaur bones or create imaginary realms of ancient lands; there I would perform diplomatic services for the people in need. I was usually alone, and those are some of my fondest memories. When I first decided to become a teacher and thought about what is important to my philosophy on how children learn, I immediately knew I was a strong believer in play. Although, many decision makers such as legislators and school district leaders believe in more academic types of learning styles, my paper will discuss why play is so powerful and important to children.
“Planning: is specifying the goals to be achieved and deciding in advance the appropriate actions needed to achieve those goals” (Bateman & Snell, 2004, p. 16).
Most of the day the human mind is taking in information, analyzing it, storing it accordingly, and recalling past knowledge to solve problems logically. This is similar to the life of any computer. Humans gain information through the senses. Computers gain similar information through a video camera, a microphone, a touch pad or screen, and it is even possible for computers to analyze scent and chemicals. Humans also gain information through books, other people, and even computers, all of which computers can access through software, interfacing, and modems. For the past year speech recognition software products have become mainstream(Lyons,176). All of the ways that humans gain information are mimicked by computers. Humans then proceed to analyze and store the information accordingly. This is a computer's main function in today's society. Humans then take all of this information and solve problems logically. This is where things get complex. There are expert systems that can solve complex problems that humans train their whole lives for. In 1997, IBM's Deep Blue defeated the world champion in a game of chess(Karlgaard, p43). Expert systems design buildings, configure airplanes, and diagnose breathing problems. NASA's Deep Space One probe left with software that lets the probe diagnose problems and fix itself(Lyons).
In order to see how artificial intelligence plays a role on today’s society, I believe it is important to dispel any misconceptions about what artificial intelligence is. Artificial intelligence has been defined many different ways, but the commonality between all of them is that artificial intelligence theory and development of computer systems that are able to perform tasks that would normally require a human intelligence such as decision making, visual recognition, or speech recognition. However, human intelligence is a very ambiguous term. I believe there are three main attributes an artificial intelligence system has that makes it representative of human intelligence (Source 1). The first is problem solving, the ability to look ahead several steps in the decision making process and being able to choose the best solution (Source 1). The second is the representation of knowledge (Source 1). While knowledge is usually gained through experience or education, intelligent agents could very well possibly have a different form of knowledge. Access to the internet, the la...
Therefore, AIS has several roles. A main role is to integrate all information system for effective management within a company, connecting different departments with relevant information. Another role is to assist the organisation to make decisions by preparing different reports and evaluating information. It also provides a company with a control and safeguard internal information ((Kim and Solomon 2006).
In 2009 24,000 people were injured because of cell phone distracted driving (1). The biggest risk of all that is associated with the use of cell phones while driving is death of yourself or someone else. No message is that important that you should risk your life or your education to receive it. Some of these behaviors need to be changed by a personal choice to improve their lives while other changes are being forced upon us to keep the road ways safe for everyone. By making just one of these changes during the day you will feel as though you have a new freedom from being attached to your cell phone.