How Can Artificial Intelligence Help Us? EssayIntroductory Paragraph, including thesis statementI. Description of Artificial IntelligenceA.
Descriptions of AI1. Definition of AI2. Coined in 1956B. How AI can be achieved1. Specialized software2. Specialized computer systems3.
Add-on applicationsC. How can we measure the ability to think1. Relative brain-power2. Usefulness of the applicationII. How AI is developedA.
Neural Networks1. Membrane of neurodes2. Chain of past experiences3. Learns on its ownB.
Fuzzy Logic1. Recommends an outcome2. Definition of fuzzy logic3. Assigns values to all factors4. More than a yes or no format5.
Highly fault tolerantC. Chaos Engineering1. Evaluates several variables2. Predicts massive chaotic systems3. Finds order to random phenomenaD.
Knowledge-based systems (KBS)1. Maintains large knowledge base2. Facts programmed into rules3. Only as good as the informationE.
Expert Systems1. Database of information2. Limited to structured rules3. Use symbolic representationsF.
Case-bases reasoning (CBR)1. Allows a system to store and analyze data2. Analyzes each case uniquelyIII. How AI can be usedA.
Neural Networks1. Military aircraft2. S&P index3. Recognizing new patterns of credit-card fraudB. Fuzzy logic1.
Washing machines2. Vacuum cleaners3. AC’sC. Chaos theory1.
Wall street2. Ability to predict and diagnose heart diseaseD. Expert systems1. Employee Training2.
Wisdom Simulators3. Industry applicationsE. KBS and CBR1. Help desks2. Law3.
Paroling inmatesIV. RecommendationsA. Neural Nets1. Best for sifting through super large information sets. 2. Requires huge amounts of processing power, sometimes parallelB.
Fuzzy Logic1. Excellent for market buying2. Cheap, low processor requirements3. Handles only a limited amount of variablesC. Chaos Engineering1.
Best for analyzing a large amount of variables2. Primitive, large amount of processing power very high learning curveD. CBR and KBS1. Supplements expert systems with powerful search engines2. Requires an expert system already in placeE.
Expert systems1. Simple analyzes almost anything2. Archaic very limited in scopeConclusionRyan CassidyMr. InmanEnglish 10220 March 1996How Can Artificial Intelligence Help Us?Recently, the media has spent an increasing amount of broadcast time on new technology.
The focus of high-tech media has been aimed at the flurry of advances concerning artificial intelligence (AI). What is artificial intelligence and what is the media talking about? Are these technologies beneficial to our society or mere novelties among business and marketing professionals? Medical facilities, police departments, and manufacturing plants have all been changed by AI but how? These questions and many others are the concern of the general public brought about by the lack of education concerning rapidly advancing computer technology. Artificial intelligence is defined as the ability of a machine to think for itself. Scientists and theorists continue to debate if computers will actually be able to think for themselves at one point (Patterson 7).
The generally accepted theory is that computers do and will think more in the future. AI has grown rapidly in the last ten years chiefly because of the advances in computer architecture. The term artificial intelligence was actually coined in 1956 by a group of scientists having their first meeting on the topic (Patterson 6). Early attempts at AI were neural networks modeled after the ones in the human brain. Success was minimal at best because of the lack of computer technology needed to calculate such large equations. AI is achieved using a number of different methods.
The more popular implementations comprise neural networks, chaos engineering, fuzzy logic, knowledge based systems, and expert systems. Using any one of the aforementioned design structures requires a specialized computer system. For example, Anderson Consulting applies a knowledge based system to commercial loan officers using multimedia (Hedburg 121). Their system requires a fast IBM desktop computer.
Other systems may require even more horsepower using exotic computers or workstations. Even more exotic is the software that is used. Since there are very few applications that are pre-written using AI, each company has to write it’s own software for the solution to the problem. An easier way around this obstacle is to design an add-on.
The company FuziWare makes several applications that act as an addition to a larger application. FuziCalc, FuziQuote, FuziCell, FuziChoice, and FuziCost are all products that are use!d as management decision support systems for other off-the shelf applications (Barron 111). In order to tell that AI is present we must be able to measure the intelligence being used. For a relative scale of reference, large supercomputers can .
