There is little consensus on what human intelligence is, how it works, and how it is formed. There are several different theories as to what intelligence is, and there is no concrete explanation of intelligence. Despite these uncertainties, many have proposed the idea modeling human intelligence and creating artificial intelligence. Many see artificial intelligence as a way to bypass human error and to improve jobs by completing them faster and more accurately. They argue that artificial intelligence can be based on human intelligence, and thought processes can be translated into computer programs to create a non-human entity that can think. In contrast, many others do not think it is possible to recreate the human mind and thought …show more content…
In the article Some Current Trends in Research of Intelligence, Imrich Ruisel examines three different concepts of intelligence before applying the ideas to artificial intelligence. As there is not a single set of ideas about intelligence, multiple theories and concepts need to be looked at in order to try and replicate intelligence into artificial intelligence. Ruisel breaks down intelligence into three categories: (one) a general intelligence represented by Spearman’s g factor and is based on biological differences accounting for differences in cognitive performance, (two) intelligence as it relates to behavior, and (three) intelligence is composed of a set of abilities and an individual’s total knowledge (Ruisel 2007). Each of these three concepts of intelligence provides different challenges in the task to create artificial intelligence. However, it is still important to consider different views of intelligence when looking at artificial intelligence; artificial intelligence cannot be understood or created unless all of the information about intelligence itself is known. As human intelligence consists of many different aspects, artificial intelligence must follow this pattern if it is to be based on human intelligence. In her article On the Approaches of Classical Artificial Intelligence and Embodied Artificial Intelligence, Elena Nechita explains classical approaches to artificial intelligence and some of the problems associated with
As scientists continue to their research, fundamental questions about intelligence are brought to the surface.
Human beings not only have the ability to think but also have imitation that can help them to think comprehensively. Other species may have the ability to think but they do not have the ability to think about things in different ways. Blackmore mentions “we use the word learning for simple association or classical conditioning (which almost all animals can do), for learning by trial and error or operant conditioning (which many animals can do) and for learning by imitation (which almost none can do). ”(34). The imitation is the ability for people to think in different and more comprehensive ways. When people think, they can not only think in their own way but also think by other’s ways. This ability makes human beings unique because if they can think in different ways they can get more information, which can help them make the decision. Human beings’ thinking also has the peculiarity, which is hard be imitated. Blackmore points out “Computers may not play chess in the same way as humans, but their success show how wrong we can be about intelligence”(32). Human thinking is hard to copy because it is a very comprehensive process. It is hard to copy even though for the AI, which made by human beings. The computers do not have the ability to imitate, thus the computer may be able to get the win in the chess game, but they can never get the ability and skill about
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
The definition of intelligence has strongly been debated over for many centuries, and many individuals have their arguments for what it is. So what is really the true meaning of intelligence? Some, such as college professor of psychology, Carol S. Dweck, strongly believes that intelligence is something achieved through large amounts effort and having optimistic mindsets as inferred in her article, “The Secret to Raising Smart Kids”. However, on the other hand, successful author of best selling novel “Steve Jobs”, Walter Isaacson, claims that intelligence is an abstract idea that is derived from ingenuity and applying creativity to life and other material concepts. With almost completely opposite sets of beliefs, it is likely that Dweck will not agree with Isaacson’s nation of intelligence being derived from natural intuition rather than raw intelligence.
Charles Spearman’s theory (1904) also takes the psychometric approach that there is a general intelligence. Spearman maintains that intelligence is hereditary and an individual is born with their maximum mental ability. This suggests that intelligence cannot be changed or strengthened. The concept of ‘general intelligence’ suggests that an individual has an underlying intelligence, in which their performance in one type of cognitive task is often similar to their performance in another (Boundless 2013). Spearman demonstrated this through the correlations between tests, where individuals who performed well in one test, often performed well in others. This led Spearman to the conclusion that intelligence is defined as a single factor. However, critics refute Spearman’s conclusions, as they argue that one cannot reduce all factors of intelligence to an indefinable “g” (Neisser et al. 1996).
The purpose of this paper is to bring to light a fresh new perspective of Artificial Intelligence or simply (AI). There have been numerous endeavours to make artificial intelligence which is inclusive of frontiers such as neural network, evolution theory, and so forth, not forgetting that a number of current issues have found solutions in the application of these concepts, the case still remains that each theory only covers a certain isolated aspect of human intelligence. To date, he gap that stands between a human being and an artificial intelligence agent still remains unabridged. In this paper an extrapolated version of artificial intelligence shall be discussed which will be augmented by emotions and the plausibility of inheriting a neural architecture from one generation to the next in a bid to make artificial intelligence to compare to the natural behaviour and intelligence of human
Artificial intelligence is the development of a computer system that is able to perform tasks of human intelligence like visual perception, speech recognition, and decision-making. Computer scientists have made a substantial advancement in the
The first step in getting anywhere with this debate must begin with defining what artificial intelligence is exactly. Artificial Intelligence, also known as AI, is the area of computer science focusing on creating machines that can engage in the human behaviors of intelligence.
* Developments in computer science would lead to parallels being drawn between human thought and the computational functionality of computers, opening entirely new areas of psychological thought. Allen Newell and Herbert Simon spent years developing the concept of artificial intelligence (AI) and later worked with cognitive psychologists regarding the implications of AI. The effective result was more of a framework conceptualization of mental functions with
Artificial intelligence is “the capability of a device to perform functions that are normally associated with human intelligence, such as reasoning and manipulating factual and heuristic knowledge, including the ability to make decisions, understand language, and respond to outside stimuli.” (Hosea, Harikrishnan, Rajkumar 124). Today’s artificial intelligence is in its early stages, there are only a few systems that are able to reach the requirements to categorize these systems as intelligent. Thoughts and emotions are the two things that have
Artificial intelligence is an expert system in which exhibits machines that are programmed by humans and acts under the authority of its creator. Such systems and programs range in various shapes and sizes while conducting various methods of exercises as to how or what the machine was taught to do to assist humans in various fields including the military, automation, as well as a maid working in a household (Stuart & Norvig). The mere progression of artificial intelligence doesn’t only follow orders given by the human in which created it, but also learns how to reason on its own.
Rene Descartes’ “Discourse on the Method” focuses on distinguishing the human rationale, apart from animals and robots. Wherein, he does so by explaining how neither animals, nor machines possess the same mental faculties as humans. For Descartes distinguishes the human rationale apart from non-humans, even though he does agree the two closely resemble each other because of their sense organs, and physical functions (Descartes, pp22). Nevertheless, it is because the mechanical lacks a necessary aspect of the mind, which consequently separates them from humans. For in Descartes “Discourse on the Method,” he argues that the noteworthy difference between humans, and the mechanical is that machines are only responding to the world through of their sense organs. Whereas humans possess the significant faculties of reasoning, which allows them to understand external inputs and information obtained from the surrounding environment. This significantly creates a dividing ‘line’, which separates humans from non-humans. For in this paper, I will firstly distinguish the differences between the human and mechanical’s mentality in regards to Descartes “Discourse on the Method”. Secondly, I will theorize a modern AI that could possess the concept of an intellectual mind, and then hypothesize a powerful AI that lacks the ability to understand its intelligence. Lastly, in disagreeing in why there are no such machines that is equivalent to the human mind. For humans don’t possess all the
lot of benefits and disadvantages, which would increase in the coming years. Artificial Intelligence would be beneficial to humans because we have a lot to improve upon in our society. Artificial Intelligence would be a great asset, but it should be treated with caution.
Artificial intelligence is the behaviour of a machine which, if it were to be executed by a human, would be called intelligence (Tabassumirfana, 2010). For so many decades, artificial intelligence experts have been working towards the idea of creating machines that have human intelligence if not better and so far, they've had many successes like cars that can park themselves to computer applications that can spot bank fraud (Weeks, 2011).However, serious challenges still remain and some computer scientists wonder when, or if, machines will ever truly become intelligent.
Artificial Intelligence: Cognitive Ability or Information Processing Computers have become an integral part of our everyday lives. We rely upon these machines to perform innumerable tasks that we often take for granted. Most people realize that computers are able to perform the multitude of functions as a consequence of the programming they receive. These programs give computers a set of instructions that governs their transition from one information processing state to another. Thus, computational machines are able to respond to a certain set of inputs with a certain range of outputs. In order to comprehend programs one needs only to describe these instructions in functional terms. In this regard, computer programs are extremely similar