Advances in Artificial Intelligence Essay

As scientists continue to their research, fundamental questions about intelligence are brought to the surface.

Bibliography Brainmetrix.com. “Intelligence definition.” Brain Metrix. 2007. Web. 14 Jan. 2016. Breyer, Melissa, and 25 p. Which of the 8 kinds of intelligence do you have? MNN - Mother Nature Network, 13 Jan. 2016. Web. 13 Jan. 2016. Gariépy, Jean-François. What is intelligence ? 31 Dec. 2012. Web. 14 Jan. 2016. “Human intelligence | psychology.” Encyclopædia Britannica. N.p.: Encyclopædia Britannica, 7 May 2015. Web. 14 Jan. 2016. Inc, Merriam-Webster. Merriam-Webster’s School Dictionary. Springfield, MA: Merriam Webster,U.S., 9 Apr. 2015. Print. Kaufman, Scott Barry. What do IQ tests test? Interview with psychologist W. Joel Schneider. Scientific American Blog Network, n.d. Web. 20 Jan. 2016. Mann, Denise. “Does IQ test really measure intelligence?” WebMD. WebMD, n.d. Web. 20 Jan. 2016. McLennan community college university. “What is intelligence.ppt.” Mccu.org. n.d. Web. 14 Jan. 2016. Miller, Max, et al. What is intelligence? Big Think, 2 Sept. 2010. Web. 13 Jan. 2016. Muehlhauser, Luke. “What is intelligence? - machine intelligence research institute.” Analysis. Machine Intelligence Research Institute, 19 June 2013. Web. 14 Jan. 2016. “The Difference Between Intelligence and Common Sense.” Quora. 20 Jan. 2015. Web. 20 Jan. 2016. “The Three types of intelligence you need for success.” Psychology Today, 7 Oct. 2013. Web. 20 Jan. 2016. Citations, Quotes & Annotations Brainmetrix.com. “Intelligence definition.” Brain Metrix. 2007. Web. 14 Jan. 2016. (Brainmetrix.com) "While

Ever since Spearman proposed the intelligence theory with G factor, there were several other intelligence theories proposed in response or as an alternative to Spearman’s. Among those, Sternberg’s Triarchic Theory of Intelligence and Gardner’s Multiple Intelligence Theory would be the most influential ones as they are widely accepted and used in real life. Both of the theories share a critical view towards the unitary perspective which is the traditional definition of intelligence. However, the two theories differ in which they don’t agree with what factors should be the measures of intelligence, as well as the emphasis of the two theories.

Artificial intelligence, or AI for short, is “the intelligence exhibited by machines or software.” AI is found in many forms in our society, from video games to traffic predictions to the autocorrect in our phones. When machine personalities are no longer distinguishable from human ones, however, there will be implications for humanity. This advancement will at first be met with skepticism, and the first people to interact with these AI will not consider them sentient beings. Artificial intelligence will eventually be complex enough to exhibit human-like personality, and it is at this point that we will embrace machines, and redefine selfhood to include artificial beings. Once we consider AI sentient, they will rapidly advance until they are

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

Intelligence is an interesting concept and whilst we understand and can agree that it is what differentiates us from other all the other animals it is almost impossible to agree exactly how to measure it.

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.

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

Human intelligence is one of the most complex and abstract things in the world, but because of one test created by Lewis Terman, a professor of psychology at Stanford University, we are able to see it as a small, simple number (Epstein, 1973). An Intelligence Quotient (IQ) Test scores human intelligence on a numerical scale. Within this scale there are several categories which people are placed in as shown in Table 1. These scores, categories, labels, are tidy, easy to remember, and can greatly influence one’s life. They can act almost like a name tag, and become an identifying factor wherever you go.

Artificial intelligence has been progressing over the past two decades. AI is becoming smarter, faster, and more complex every day. Not quit as complex as the human brain and nervous system. When we reach a point where AI is more complex than us it’s hard to predict such outcome of something greater than the human biology. I have been asked to conduct an interview on advanced AI. You would think a computer major or professor would be the best option, but really someone who understands; human evolution, philosophy, and the brain would be a much more qualified person of interest to understand. I chose Anton Ford who is Assistant Professor in Philosophy

Intelligence as defined by the Cambridge dictionary is the ability to learn, understand, and make judgments or have opinions that are based on reason.1 There is much debate and controversy on this subject and psychologists do not all agree upon a standard definition. Yet, one of the very first definitions of intelligence was developed by the psychologists responsible for the development of the first intelligence test, Binet and Simon (1905) who argued that the essence of intelligence is: ‘to judge well, to comprehend well, to reason well’.2 Another sample definition was provided later by Heim, in 1970, who argued that ‘intelligent activity consists in grasping the essentials in a situation and responding appropriately to them’.3 There are also arguments surrounding how many different types of intelligence there are, as well as the intelligence theories of psychology. However elusive, we can ascertain that all psychologists have universally agreed upon general intelligence (g), an expression devised by the English psychologist Charles Spearman and defined as ‘a mental attribute called on for virtually any task’.4 This essay will inform the reader of the different methods proposed and used by psychologists to assess ability and discuss their evaluations.

Artificial intelligence (AI) is one of the most breath-taking topics in science and technology fields today. While the time frame of its real emergence has long been the focus of debates, the moral concern of such a practice is a more urgent question for the human race to answer. Authors and pundits from Mary Shelley in 1818 to Stephen Spielberg in 2001 have expressed their views on this problem already. British computer scientist Alan Turing was asked the question “can machines think?” half a decade ago, after

This theory agreed with the multiple intelligence theory on intelligence being a much broader general ability, but the latter’s intelligences were better perceived as individual talents. This theory explains successful intelligence as involving factors including analytical intelligence which is the problem- solving abilities, creative intelligence which involves the capacity of dealing with new arising situations by using current skills and past experience as well as practical intelligence which is the ability of adapting to change in one’s environment. The third theory is that of multiple intelligences by Howard Gardener which proposes that human intelligence’s numerical expressions are not an accurate depiction of the people's abilities. This theory describes several distinct intelligences which are based on the abilities and skills which are valued in the different cultures including visual-spatial intelligence where thinking is in terms of physical space, verbal-linguistic intelligence where words are used effectively, bodily-kinesthetic intelligence where the body is used effectively, logical-mathematical intelligence where abstract, conceptual and calculations are used, interpersonal intelligence which entails one’s understanding of their goals and interests, musical intelligence where sensitivity to sound and rhythm is shown, intrapersonal intelligence which involves interaction and understanding of others as well as naturalistic intelligence. These differences related to strengths of intelligence are said to challenge the educational system which assumes that every individual can learn similar materials in a similar manner and that a universal, uniform measure does suffice in testing student

In this essay I will discuss the three types of intelligences known as linguistic, body-kinesthetic, and mathematical as theorized by Gardner and how they relate to real-world examples. Each example represents a type of intelligence. Critics have also developed arguments against Gardner’s research.

Just like a snowflake, each human is unique and possess different qualities and characteristics. No one is exactly alike, not even identical twins. This is also true when speaking about intelligence. Intelligence can be defined as the ability to resolve problems. This can be done in many ways. Howard Gardner suggests that intelligence can be classified into nine different categories: linguistic, spatial, logical-mathematical, musical, bodily-kinetic, interpersonal, intrapersonal, naturalistic, and existential. Each person differs in strengths and weaknesses and may possess different intelligences. An individual may be highly skilled in math and problem solving, but may possess no musical skills. It would benefit a student in college to evaluate Howard Gardner’s multiple intelligences and determine their strengths when deciding what profession would suit them the best. Examining each type of intelligence mentioned in Gardner’s multiple intelligences will yield more knowledge to a student who is in search for a suitable career.