The two most fundamental concerns of AI researchers are knowledge representation and search. Search is a problem-solving technique that systematically explores a space of problem states, i.e., successive and alternative stages in the problem solving process. In other words it is 'the act of enumerating possibilities and deciding between them. ' This essay will evaluate the different types of search processes that have been used in artificial intelligence. It will then go on to explore if and how these processes can be used to understand human problem solving.
GOAL 11. CONCLUSION 12. BIBLIOGRAPHY Artificial Intelligence For Speech Recognition Introduction: Artificial intelligence involves two basic ideas. First, it involves studying the thought processes of human beings. Second, it deals with representing those processes via machines (like computers, robots, etc.).
This is the goal of the field of AI, yet it is not an easy goal to define. AI researchers express their goals differently, but they all share an interest in creating, through the hardware and software of a computer, an entity that is in some way recognized as intelligent and that shares some aspects of the distinctly human conditions. Thus, AI can be viewed as the attempt to create a machine that is in some way created in the image of the human person, an image loosely defined using the term intelligence.  One of the most challenging approaches facing experts is building systems that mimic the behavior of the human brain, made up of billions of neurons, and arguably the most complex matter in the universe. Alan Turing, a British computer scientist, stated that a computer would deserves to be called intelligent if it could deceive a human into believing that it was human.
Artificial Intelligence Artificial Intelligence is a broad topic, consisting of different fields, from machine vision to expert systems. Nowadays with the use of high level techniques, computers have been programmed to solve many difficult problems, but the products that are available today are only a sample of what is coming in the future. AI has an interesting history and has always been on the pioneering end of computer science. In order to classify machines as "thinking", it is necessary to explain intelligence. What is intelligence exactly?
It includes research on intelligence and behavior, like how some piece of information can be conveyed batter to the mind and how the mind will process on that information and make ease in understanding different things. It consists of multiple research disciplines, including psychology, artificial intelligence, philosophy, neuroscience, linguistics, and anthropology. It spans many levels of analysis, from low-level learning and decision mechanisms to high-level logic and planning; from neural circuitry to modular brain organization. The fundamental concept of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures." (Thagard, 1996) Studying a particular phenomenon from multiple levels creates a better understanding of the processes that occur in the brain to give rise to a particular behavior.
This essay will address the question of whether computers can think, possess intelligence or mental states. It will proceed from two angles. Firstly it is required to define what constitutes “thinking.” An investigation into this debate however demonstrate that the very definition of thought is contested ground. Secondly, it is required for a reflection on what form artificial intelligence should take, be it a notion of “simulated intelligence,” the weak AI hypothesis, or “actual thinking,” the strong AI hypothesis. (Russell, Norvig p 1020) The first angle informs us of the theoretical pursuit of what it means for something to think, whereas the second seeks to probe how it could demonstrated that thinking is occurring.
Introduction Artificial intelligence is a branch of science that deals with electronic devices or machines that help in finding solutions of the complex problems in the same pattern as humans do. This usually comprises on features and traits borrowing from human intelligence, and applies them as computer algorithms in a friendly way. An efficient approach can be adopted depending on the appropriate requirements, which affect how artificial intelligent behavior appears. Artificial intelligence in general, is related with the field of computer science, but it has important linkages with other areas such as Mathematics, Psychology, Cognition, Biology and Philosophy, are among many other fields. Human beings have the ability to combine the knowledge of all these fields that ultimately benefit progress in the pursuit to craft artificial intelligent existence.
Are computers more intelligent than us? Introduction The definition of intelligence is quite hard as there are many different aspects including it like emotional, social, logical, creative and practical. Intelligence can be described as the ability to perceive and retain information and apply it to all instances of knowledge, creating understandable modules of any size or complexity. This is also the skill that makes us humans so much different from all other living species on Earth. Due to this very general mental capability we can plan, solve problems, reason, think abstractly, think of complex ideas, learn quickly and learn from experience.
For years philosophers have enquired into the nature of the mind, and specifically the mysteries of intelligence and consciousness. (O’Brien 2017) One of these mysteries is how a material object, the brain, can produce thoughts and rational reasoning. The Computational Theory of Mind (CTM) was devised in response to this problem, and suggests that the brain is quite literally a computer, and that thinking is essentially computation. (BOOK) This idea was first theorised by philosopher Hilary Putnam, but was later developed by Jerry Fodor, and continues to be further investigated today as cognitive science, modern computers, and artificial intelligence continue to advance. [REF] Computer processing machines ‘think’ by recognising information
Each one of those areas are divided up into more areas. Theoretical computational linguistics is composed of theoretical linguistics and cognitive science. This particular area deals with formal theories about the linguistic knowledge that a human needs for generating and understanding language. This area has advanced so much, and has become so complex that it can only be managed by using computers. With these computers computational linguists develop formal models simulating aspects of the human language and then incorporates that into programs.