WOMAN’S UNIVERSITY IN AFRICA a) Describe the characteristics of intelligent behaviour (5 marks) Stair, R.M. and Reynolds, G.W (1996) defines intelligent behaviour as the ability to learn from experience and apply the acquired knowledge, handle complex situations, solve problems when important information is missing, determine what is important, react quickly and correctly to a new situation, understand visual images, process and manipulate symbols, be creative and imaginative and use of heuristics. It is from this definition that some of the characteristics of intelligent behaviour will be explored. The ability to learn from experience and apply the knowledge acquired from past experience, is key to intelligent behaviour. While this ability is natural in humans, it is not natural in machines. For this reason, such abilities need to be carefully programmed in them. Deep Blue for example, used this technique to beat the renowned chess grandmaster Gary Kasperov in 1997. After learning from past experiences, it is an attribute of intelligent behaviour to apply the gained knowledge to new settings and situations. Acting in complex environments is an aspect which describes intelligent behaviour. Intelligent system or agent must be able handle complex situations. Careful planning and elaborate programming is required for computer systems to handle perplexing situations. Use of heuristics This refers to the making of decisions using general rules of thumb or informed guesses without completely searching all the available alternatives or possibilities. This attribute of intelligent behaviour, whilst natural to humans, is difficult to achieve in machines. Given the right programs, a computer system can obtain good results/solutions t... ... middle of paper ... ... the problem, called heuristics. This results in increase in efficiency of the search process in that fewer states are expanded with an informed search than with a blind one. Some nodes or paths are clearly favoured while others are omitted and not elaborated on. Time is not wasted by choosing redundant or irrelevant paths. This means the better the heuristics the better and faster the search will be performed. The fewer the steps needed to obtain the solution path, the better the solution path will be. So far, the best known algorithm in Informed search category is A* search. Others include hill climbing, Best first, Greedy and Beam. References Russell, S. J., Norvig P. (2003). Artificial intelligence: A Modern Approach. Upper Saddle River, NJ: Prentice Hall Stair, R.M. and Reynolds, G.W (1996).Principles of Information Systems. Thompson Learning. Toronto
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 bioecological model of intelligence, introduced by Stephen Ceci, concentrates on the potential abilities, environmental influence and internal motivation. To perform well in an intelligent test a person must have the necessary abilities, be in a positive environment and be motivated (Comer et al.,
Intelligence can be defined in several ways. Intelligence is a combination of abilities, for example, recognizing reality, adjusting to evolving conditions, problem solving, and knowledge. One of the most important aspects of intelligence is an organism being able to familiarize itself with the environment. The testing of intelligence is to analyze the way an individual thinks and the way he or she reasons, not to understand the how much information he or she has obtained. The problem that arises is the questions do not mean the same thing in every culture, so it becomes difficult to analyze the intelligence of more than one culture with the use of the same test.
One of the hottest topics that modern science has been focusing on for a long time is the field of artificial intelligence, the study of intelligence in machines or, according to Minsky, “the science of making machines do things that would require intelligence if done by men”.(qtd in Copeland 1). Artificial Intelligence has a lot of applications and is used in many areas. “We often don’t notice it but AI is all around us. It is present in computer games, in the cruise control in our cars and the servers that route our email.” (BBC 1). Different goals have been set for the science of Artificial Intelligence, but according to Whitby the most mentioned idea about the goal of AI is provided by the Turing Test. This test is also called the imitation game, since it is basically a game in which a computer imitates a conversating human. In an analysis of the Turing Test I will focus on its features, its historical background and the evaluation of its validity and importance.
Intelligence can be defined in many different ways since there are a variety of individual differences. Intelligence to me is the ability to reason and respond quickly yet accurately in all aspects of life, such as physically, emotionally, and mentally. Anyone can define intelligence because it is an open-ended word that has much room for interpretation. Thus my paper is an attempt to find the meaning of human intelligence. There are a couple of scientists who have tried to come up with theories of what makes a human being intelligent.
Goertzel, B., & Pennachin, C. (2007). In Artificial General Intelligence. Heidelburg, New York: Springer Berlin. Retrieved on July 31, 2010 from Google books Database.
The true nature of intelligence has been debated more intensely then ever over the last century. As the science of psychology has developed one of the biggest questions it had to answer concerned the nature of Intelligence. Some of the definitions that have been given for intelligence have been the ability to adjust to one’s environment. Of course by such a definition even a person who is generally considered to be dull can be regarded as being intelligent if he can take care of himself. Other definition is such as having the tendency to analyze things around yourself. However it can be argued that such behavior can lead to over-analyzing things and not reacting to one’s environment and dealing with it in an intelligent manner.
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...
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).
The approach to artificial intelligence should be proceeded with caution. Throughout recent years and even decades before, it has been a technological dream to produce artificial intelligence. From movies, pop culture, and recent technological advancements, there is an obsession with robotics and their ability to perform actions that require human intelligence. Artificial intelligence has become a real and approachable realization today, but should be approached with care and diligence. Humans can create advanced artificial intelligence but should not because of the harm they may cause, the monumental advancement needed in the technology, and that its harm outweighs its benefits.
When a person utters the word “intelligence,” people tend to think of a genius like Albert Einstein developing some obscure equation that the great majority of the population will never understand. The problem with the definition of intelligence is that people relate intelligence to words like “genius” which require intelligence but do not have the same definition as intelligence. Often, people try to use related words to define intelligence, but these words are unable to define intelligence since many are only different levels of intelligence. While many definitions try to encompass the meaning of intelligence and various definitions describe a small part of intelligence, no definition completely explains intelligence, because intelligence is a concept that is understood only after realizing that intelligence is based on three basic concepts: logic, growth, and emotion. Although many people believe that humans are the only creatures capable of intelligence, other animals exhibit intelligence and are capable of further demonstrate the complex concept of intelligence.
Artificial Intelligence is the scientific theory to advance the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. This is going to hold the key in the future. It has always fa...
Artificial intelligence is defined as developing computer programs to solve complex problems by applications of processes that are analogous to human reasoning processes. Roughly speaking, a computer is intelligent
Through a robot body, one can utilize AI algorithms to portray individual thinking. The first general purpose robot is called Shakey. Developed at the Stanford Research Institute from 1966 to 1972, Shakey was the first robot to think in advance. For example, Shakey was able to understand a command such as turn off a light switch in a particular room. The robot would go through a corridor, find the room and then locate and turn off a light switch. Shakey could complete an action without the need of step-by-step instructions. The LISP software was used to program Shakey. The development of Shakey advanced AI concepts from the invention of the A search algorithm to the understanding of the full capabilities of robots. Shakey raised the public’s awareness of computer science and artificial intelligence in the 1970s. Shakey moved public thoughts to questioning what machines could and will do in the future. (Artificial Intelligence and Robotics , 2015) To further the public’s thoughts about machine intelligence is IBM’s Deep Blue Computer. Deep Blue won a chess competition against famous chess champion Garry Kasparov. Deep Blue’s win was one of the first real instances of the competition of humans versus
Most theories accept the idea that decision-making consists of a number of steps or stages such as improving creativity, critical thinking skills, and problem solving techniques. It is well recognized that routine cognitive processes such as memory, reasoning, and concept formation play a primary role in decision-making (Decision-Making 2015).