Artificial Neural Network (ANN): is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase.
Source:
http://en.wikipedia.org/wiki/Artificial_neural_network
http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
· Automaton: (plural: automata or automatons) is a self-operating machine. The word is sometimes used to describe a robot, more specifically an autonomous robot. Although, automata theory is the study of abstract machines and problems which they are able to solve. Automata theory is closely related to formal language theory as the automata are often classified by the class of formal languages they are able to recognize.
Source: http://en.wikipedia.org/wiki/Automaton
Computer science (or computing science): is the study of the theoretical foundations of information and computation, and of practical techniques for their implementation and application in computer systems. It is frequently described as the systematic study of algorithmic processes that describe and transform information. Computer science has many sub-fields; some, such as computer graphics, emphasize the computation of specific results, while others, such as computational complexity theory, study the properties of computational problems. Still others focus on the challenges in implementing computations.
Source:
http://en.wikipedia.org/wiki/Computer_science
· Nanotechnology: shortened to "Nanotech", is the study of the control of matter on an atomic and molecular scale. Generally nanotechnology deals with structures of the size 100 nanometers or smaller, and involves developing materials or devices within that size. Nanotechnology is very diverse, ranging from novel extensions of conventional device physics, to completely new approaches based upon molecular self-assembly, to developing new materials with dimensions on the nanoscale, even to speculation on whether we can directly control matter on the atomic scale.
Source: http://en.wikipedia.org/wiki/Nanotechnology
· Neurotransmitters: are any of the groups of chemical agents released by neurons (nerve cells) to stimulate neighboring neurons, thus allowing impulses to be passed from one cell to the next throughout the nervous system. They are packaged into synaptic vesicles that cluster beneath the membrane on the presynaptic side of a synapse, and are released into the synaptic cleft, where they bind to receptors in the membrane on the postsynaptic side of the synapse. Release of neurotransmitters usually follows arrival of an action potential at the synapse, but may follow graded electrical potentials. Low level "baseline" release also occurs without electrical stimulation.
Source: http://www.britannica.com/EBchecked/topic/410777/neurotransmitter http://en.wikipedia.org/wiki/Neurotransmitters
Memory: is a psychological process that serves to store encrypted information. This information can be recovered, sometimes on a voluntary and conscious manner, and other involuntary. Also, memory refers to computer components, devices, and recording media that retain digital data used for computing for some interval of time. Computer data storage provides one of the core functions of the modern computer, that of information retention. It is one of the fundamental components of all modern computers, and coupled with a central processing unit (CPU, a processor), implements the basic computer model used since the 1940s.
Source: http://www.monografias.com/trabajos61/memoria/memoria.shtml?monosearch
http://en.wikipedia.org/wiki/Computer_storage
http://www.monografias.com/trabajos61/memoria/memoria.shtml?monosearch
Paradigm: A conceptual framework—an established thought process. There are two types of paradigm: the sequential or logical paradigm which uses a single path to link knowledge and evidence to a conclusion. This type of paradigm needs to follow some steps in order to make a conclusion. The parallel or gestalt paradigm does not need to follow steps because all the connections between evidence and conclusions appraise simultaneously.
Source:
http://en.wiktionary.org/wiki/paradigm
Processor: also called a Central Processing Unit (CPU) is the “brain” of the computer. It executes instructions sequentially and processes data. The processor is usually divided up into the Arithmetic and Logic Unit (ALU), and the Control Unit. The ALU carries out logical evaluations (for example comparisons), and mathematical expressions (such as addition and subtraction). The Control Unit carries out the functions that organize instructions and coordinates all the data and instructions, similar to traffic lights controlling the flow of cars.
Source: http://en.wikibooks.org/wiki/A-level_Computing/Computer_Systems,_Programming_and_Network_Concepts/Introduction_to_Computer_Systems
Robot: is a virtual or mechanical artificial agent. In practice, it is usually an electro-mechanical system which, by its appearance or movements, conveys a sense that it has intent or agency of its own. The word robot can refer to both physical robots and virtual software agents, but the latter are usually referred to as bots.
Source:
http://en.wikipedia.org/wiki/Robot
July 2, 2009
July 1, 2009
Glossary Canadians
sometimes used to describe a robot, more specifically an autonomous robot.
Brain: It is the center of the nervous system in all vertebrate, and most invertebrate, animals.
Corpus callosum: It is a structure of the mammalian brain in the longitudinal fissure that connects the left and right cerebral hemispheres. It also facilitates communication between the two hemispheres.
Intelligence tests: They are several kinds of tests done, in order to establish a minimun level of intelligence from a person.
Memory: It is an organism's mental ability to store, retain and recall information.
Sypnases: It is a process which envolve parts of the conetions that the neurons have made in the brain.
The sequential paradigm: It is the human”s hability to make complex jobs transform itself in easy ones.
The stick configuration problem: The problema is to removee five sticks in order to form three squares with no extra sticks, and to do this in all posible ways.
The Turing Test: It is an experiment which a judge has conversations via Teletype, with two systems, one human, the other a machine. If at the end of this conversation, the judge cannot distinguish the machine from the human body on the basis of the conversation, then Turing argued that we would have to say that the machine was intelligent.
Brain: It is the center of the nervous system in all vertebrate, and most invertebrate, animals.
Corpus callosum: It is a structure of the mammalian brain in the longitudinal fissure that connects the left and right cerebral hemispheres. It also facilitates communication between the two hemispheres.
Intelligence tests: They are several kinds of tests done, in order to establish a minimun level of intelligence from a person.
Memory: It is an organism's mental ability to store, retain and recall information.
Sypnases: It is a process which envolve parts of the conetions that the neurons have made in the brain.
The sequential paradigm: It is the human”s hability to make complex jobs transform itself in easy ones.
The stick configuration problem: The problema is to removee five sticks in order to form three squares with no extra sticks, and to do this in all posible ways.
The Turing Test: It is an experiment which a judge has conversations via Teletype, with two systems, one human, the other a machine. If at the end of this conversation, the judge cannot distinguish the machine from the human body on the basis of the conversation, then Turing argued that we would have to say that the machine was intelligent.
Glossary French
Automaton: is a self-operating machine. Is a conceptual model. Type of automata.
Cognition: the psychological result of perception and learning and reasoning.
Digital Computer: is the only device that has been used to achieve any significant of artificial intelligence.
Intelligence: the ability to comprehend; to understand and profit from experience. The intelligence is as a natural phenomenon appering in living organisms, especially man, or is an arbitrarily specified set of abilities.
Intelligent Behavior: is as duplicated by the current approach to AI, namely by discomposing a given problem into a sequence of simple tasks or sub problems that can be precisely stated and solved.
Learning: the cognitive process of acquiring skill or knowledge. Refers to concerted activity that increases the capacity and willingness of individuals, groups, organizations and communities to acquire and productively apply new knowledge and skills, to grow and mature and to adapt successfully to changes and challenges.
Mechanical Reasoning: tests measure your knowledge of straightforward mechanical and physical concepts. They do not measure your underlying mechanical aptitude in the same way that abstract reasoning questions measure your underlying intellectual ability.
Mind: the seat of the faculty of reason. The human consciousness that originates in the brain and is manifested especially in thought, perception, emotion, will, memory, and imagination.
Paradigm: is a popular model for explaining the reasoning ability of the human mind. A paradigm is an overall approach for dealing with a class of problems.
Understanding: the capacity for rational thought or inference or discrimination. the cognitive condition of someone who understands. Example: the computer starts with the key elements of its later understanding, since the programmer has provided the model of choosing heads or tails based on the statistics of the opponent is previous four-move patterns.
Cognition: the psychological result of perception and learning and reasoning.
Digital Computer: is the only device that has been used to achieve any significant of artificial intelligence.
Intelligence: the ability to comprehend; to understand and profit from experience. The intelligence is as a natural phenomenon appering in living organisms, especially man, or is an arbitrarily specified set of abilities.
Intelligent Behavior: is as duplicated by the current approach to AI, namely by discomposing a given problem into a sequence of simple tasks or sub problems that can be precisely stated and solved.
Learning: the cognitive process of acquiring skill or knowledge. Refers to concerted activity that increases the capacity and willingness of individuals, groups, organizations and communities to acquire and productively apply new knowledge and skills, to grow and mature and to adapt successfully to changes and challenges.
Mechanical Reasoning: tests measure your knowledge of straightforward mechanical and physical concepts. They do not measure your underlying mechanical aptitude in the same way that abstract reasoning questions measure your underlying intellectual ability.
Mind: the seat of the faculty of reason. The human consciousness that originates in the brain and is manifested especially in thought, perception, emotion, will, memory, and imagination.
Paradigm: is a popular model for explaining the reasoning ability of the human mind. A paradigm is an overall approach for dealing with a class of problems.
Understanding: the capacity for rational thought or inference or discrimination. the cognitive condition of someone who understands. Example: the computer starts with the key elements of its later understanding, since the programmer has provided the model of choosing heads or tails based on the statistics of the opponent is previous four-move patterns.
Glossary Italians
Ability:
Is the capacity of a computer to execute many programs at the same time, very quick and precise.
An other very important ability of computers is it memory, than can process thousands of files and keep then to be use later.
All of these and many others abilities makes a computer completely necessary now days.
These machines are very advanced compare with human's brain in the area of memory, numeric ability, etc. But is the human who wins the trophy when what is being assessed is the thinking and the feeling because computers still can’t generate or develop thoughts on their own feelings.
Artificial Intelligence (AI):
Is the intelligence of machines and the branch of computer science which aims to create it. AI is the study and design of intelligent agents, where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines.”
Behavior:
Is defined as the sets of actions of an organism that acts in response to a stimulus coming from the internal or external, objectively observable. Related to artificial intelligence, it is noted that these machines behave the way they deem appropriate, through the rationality that is in them.
The behavior can be conscious or unconscious, voluntary or involuntary, public or private, depending on the circumstances affecting them. An organism doesn't take into account if you are alone or accompanied to behaving in any way, since it has no conscience, knowledge that only humans possess without knowing how and why.
Cognitive:
Relative to knowledge or to analyze the mental processes involved in knowledge, such as attention, perceptions, reasoning, imagination, thought and language.
Computer:
Is a term used to designate every type of machine or equipment that requires or used Artificial Intelligence. This machine have the capacity of manipulates data according to a set of instructions, and is through this that it can already recreate many convincingly human-like behaviors, and is considered that, at some point in the not too distant future, may actually be able to recreate human consciousness.
Conscience:
Is the knowledge that has a being about itself and its environment. Literally means "with knowledge", but an inner knowledge, deep, set in the mind.
The conscience coupled with artificial intelligence, cause complications at the interrelation moment, since a cybernetic body, mechanical or robotic machinery, works according to rules which it made for, while a man acts according to his view, his understanding or his intuition.
It is important to emphasize that we must first know how is the man, how he thinks, and then we can be able to teach machines.
Intelligence:
The word comes from the Latin verb intellegere, which means "to understand". Is a term used to describe a property of the mind that encompasses many related abilities, such as the capacities to reason, to plan, to solve problems, to think abstractly, to comprehend ideas, to use language and to learn.
Memory:
Internal storage areas in the computer. The term memory identifies data storage that comes in the form of chips, and the word storage is used for memory that exists on tapes or disks. Moreover, the term memory is usually used as a shorthand for physical memory, which refers to the actual chips capable of holding data. Some computers also use virtual memory, which expands physical memory onto a hard disk.
Every computer comes with a certain amount of physical memory, usually referred to as main memory or RAM. You can think of main memory as an array of boxes, each of which can hold a single byte of information. A computer that has 1 megabyte of memory, therefore, can hold about 1 million bytes (or characters) of information.
There are several different types of memory:
RAM (random-access memory
ROM (read-only memory):
PROM (programmable read-only memory):
EPROM (erasable programmable read-only memory):
EEPROM (electrically erasable programmable read-only memory
Mind:
Refers to the aspects of intellect and consciousness manifested as combinations of thought, perception, memory, and all of the brain's conscious and unconscious cognitive processes. "Mind" is often used to refer especially to the thought processes of reason.
Nanotechnology:
Refers to the studies and techniques applied to the handling of the matter on a scale almost as small as an atom, measured in nanometers (1 nanometer = 0.000000001 meter). Nanotechnology is being very used nowadays, having already more than three thousand products made with nanotechnology, such as, microchips, microprocessors, nanomaterials, nanobots, etc.
Is the capacity of a computer to execute many programs at the same time, very quick and precise.
An other very important ability of computers is it memory, than can process thousands of files and keep then to be use later.
All of these and many others abilities makes a computer completely necessary now days.
These machines are very advanced compare with human's brain in the area of memory, numeric ability, etc. But is the human who wins the trophy when what is being assessed is the thinking and the feeling because computers still can’t generate or develop thoughts on their own feelings.
Artificial Intelligence (AI):
Is the intelligence of machines and the branch of computer science which aims to create it. AI is the study and design of intelligent agents, where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines.”
Behavior:
Is defined as the sets of actions of an organism that acts in response to a stimulus coming from the internal or external, objectively observable. Related to artificial intelligence, it is noted that these machines behave the way they deem appropriate, through the rationality that is in them.
The behavior can be conscious or unconscious, voluntary or involuntary, public or private, depending on the circumstances affecting them. An organism doesn't take into account if you are alone or accompanied to behaving in any way, since it has no conscience, knowledge that only humans possess without knowing how and why.
Cognitive:
Relative to knowledge or to analyze the mental processes involved in knowledge, such as attention, perceptions, reasoning, imagination, thought and language.
Computer:
Is a term used to designate every type of machine or equipment that requires or used Artificial Intelligence. This machine have the capacity of manipulates data according to a set of instructions, and is through this that it can already recreate many convincingly human-like behaviors, and is considered that, at some point in the not too distant future, may actually be able to recreate human consciousness.
Conscience:
Is the knowledge that has a being about itself and its environment. Literally means "with knowledge", but an inner knowledge, deep, set in the mind.
The conscience coupled with artificial intelligence, cause complications at the interrelation moment, since a cybernetic body, mechanical or robotic machinery, works according to rules which it made for, while a man acts according to his view, his understanding or his intuition.
It is important to emphasize that we must first know how is the man, how he thinks, and then we can be able to teach machines.
Intelligence:
The word comes from the Latin verb intellegere, which means "to understand". Is a term used to describe a property of the mind that encompasses many related abilities, such as the capacities to reason, to plan, to solve problems, to think abstractly, to comprehend ideas, to use language and to learn.
Memory:
Internal storage areas in the computer. The term memory identifies data storage that comes in the form of chips, and the word storage is used for memory that exists on tapes or disks. Moreover, the term memory is usually used as a shorthand for physical memory, which refers to the actual chips capable of holding data. Some computers also use virtual memory, which expands physical memory onto a hard disk.
Every computer comes with a certain amount of physical memory, usually referred to as main memory or RAM. You can think of main memory as an array of boxes, each of which can hold a single byte of information. A computer that has 1 megabyte of memory, therefore, can hold about 1 million bytes (or characters) of information.
There are several different types of memory:
RAM (random-access memory
ROM (read-only memory):
PROM (programmable read-only memory):
EPROM (erasable programmable read-only memory):
EEPROM (electrically erasable programmable read-only memory
Mind:
Refers to the aspects of intellect and consciousness manifested as combinations of thought, perception, memory, and all of the brain's conscious and unconscious cognitive processes. "Mind" is often used to refer especially to the thought processes of reason.
Nanotechnology:
Refers to the studies and techniques applied to the handling of the matter on a scale almost as small as an atom, measured in nanometers (1 nanometer = 0.000000001 meter). Nanotechnology is being very used nowadays, having already more than three thousand products made with nanotechnology, such as, microchips, microprocessors, nanomaterials, nanobots, etc.
Glossary Spanish
Artificial Neural Network: usually called "neural network" (NN), is a mathematical model or computational model that tries to simulate the structure and functional aspects of biological neural networks. It consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. In more practical terms neural networks are non-linear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data.
http://en.wikipedia.org/wiki/Artificial_neural_network
Human-like: Suggesting human characteristics for animals or inanimate things.
http://www.wordwebonline.com/en/HUMANLIKE
Intelligent behavior: Intelligence takes many forms. This exciting study explores the novel insight, based on well-established ethological principles, that animals, humans, and autonomous robots can all be analyzed as multi-task autonomous control systems.
In this technically sophisticated, clearly written investigation of robot-animal analogies, McFarland and Bösser show that a bee's accuracy in navigating on a cloudy day and a moth's simple but effective hearing mechanisms have as much to teach us about intelligent behavior as human models. In defining intelligent behavior, what matters is the behavioral outcome, not the nature of the mechanism by which the outcome is achieved. Similarly, in designing robots capable of intelligent behavior, what matters is the behavioral outcome.
McFarland and Bösser address the problem of how to assess the consequences of robot behavior in a way that is meaningful in terms of the robot's intended role, comparing animal and robot in relation to rational behavior, goal seeking, task accomplishment, learning, and other important theoretical issues.
http://www.worldcat.org/oclc/27012061?&lang=es
Minsky’s theory: In the early 1970s at the MIT Artificial Intelligence Lab, Minsky and Seymour Papert started developing what came to be called The Society of Mind theory. The theory attempts to explain how what we call intelligence could be a product of the interaction of non-intelligent parts. Minsky says that the biggest source of ideas about the theory came from his work in trying to create a machine that uses a robotic arm, a video camera, and a computer to build with children's blocks.
http://en.wikipedia.org/wiki/Marvin_Minsky
Photographic memory: Eidetic memory, photographic memory, or total recall is the ability to recall images, sounds, or objects in memory with extreme accuracy and in abundant volume. The word eidetic means related to extraordinarily detailed and vivid recall of visual images, and comes from the Greek word είδος (Eidos), which means "form". Eidetic memory can have a very different meaning for memory experts who use the picture elicitation method to detect it. Eidetic memory as observed in children is typified by the ability of an individual to study an image for approximately 30 seconds, and maintain a nearly perfect photographic memory of that image for a short time once it has been removed—indeed such eidetikers claim to "see" the image on the blank canvas as vividly and in as perfect detail as if it were still there.
http://en.wikipedia.org/wiki/Eidetic_memory
Robot: Is a virtual or mechanical artificial agent. In practice, it is usually an electro-mechanical system which, by its appearance or movements, conveys a sense that it has intent or agency of its own. The word robot can refer to both physical robots and virtual software agents, but the latter are usually referred to as bots. There is no consensus on which machines qualify as robots, but there is general agreement among experts and the public that robots tend to do some or all of the following: move around, operate a mechanical limb, sense and manipulate their environment, and exhibit intelligent behavior, especially behavior which mimics humans or other animals.
http://en.wikipedia.org/wiki/Robot
Synapses: Is a mechanical and electrically conductive link between two abutting neuron cells that is formed at a narrow gap between the pre- and postsynaptic cells known as a gap junction. At gap junctions, such cells approach within about 3.5 nm of each other (Kandel et al. 2000), a much shorter distance than the 20 to 40 nm distance that separates cells at chemical synapse (Hormuzdi et al. 2004). In organisms, electrical synapse-based systems co-exist with chemical synapses.
http://en.wikipedia.org/wiki/Electrical_synapse
The Turing Test: Is a proposal for a test of a machine's ability to demonstrate intelligence. It proceeds as follows: a human judge engages in a natural language conversation with one human and one machine, each of which tries to appear human. All participants are placed in isolated locations. If the judge cannot reliably tell the machine from the human, the machine is said to have passed the test. In order to test the machine's intelligence rather than its ability to render words into audio, the conversation is limited to a text-only channel such as a computer keyboard and screen. It was described by Alan Turing in his 1950 paper "Computing Machinery and Intelligence," in which Turing considers the question "can machines think?".
http://en.wikipedia.org/wiki/Turing_test
Unnatural Selection: The selection process is termed "artificial" when human preferences or influences have a significant effect on the evolution of a particular population or species.
http://en.wikipedia.org/wiki/Unnatural_selection
http://en.wikipedia.org/wiki/Artificial_neural_network
Human-like: Suggesting human characteristics for animals or inanimate things.
http://www.wordwebonline.com/en/HUMANLIKE
Intelligent behavior: Intelligence takes many forms. This exciting study explores the novel insight, based on well-established ethological principles, that animals, humans, and autonomous robots can all be analyzed as multi-task autonomous control systems.
In this technically sophisticated, clearly written investigation of robot-animal analogies, McFarland and Bösser show that a bee's accuracy in navigating on a cloudy day and a moth's simple but effective hearing mechanisms have as much to teach us about intelligent behavior as human models. In defining intelligent behavior, what matters is the behavioral outcome, not the nature of the mechanism by which the outcome is achieved. Similarly, in designing robots capable of intelligent behavior, what matters is the behavioral outcome.
McFarland and Bösser address the problem of how to assess the consequences of robot behavior in a way that is meaningful in terms of the robot's intended role, comparing animal and robot in relation to rational behavior, goal seeking, task accomplishment, learning, and other important theoretical issues.
http://www.worldcat.org/oclc/27012061?&lang=es
Minsky’s theory: In the early 1970s at the MIT Artificial Intelligence Lab, Minsky and Seymour Papert started developing what came to be called The Society of Mind theory. The theory attempts to explain how what we call intelligence could be a product of the interaction of non-intelligent parts. Minsky says that the biggest source of ideas about the theory came from his work in trying to create a machine that uses a robotic arm, a video camera, and a computer to build with children's blocks.
http://en.wikipedia.org/wiki/Marvin_Minsky
Photographic memory: Eidetic memory, photographic memory, or total recall is the ability to recall images, sounds, or objects in memory with extreme accuracy and in abundant volume. The word eidetic means related to extraordinarily detailed and vivid recall of visual images, and comes from the Greek word είδος (Eidos), which means "form". Eidetic memory can have a very different meaning for memory experts who use the picture elicitation method to detect it. Eidetic memory as observed in children is typified by the ability of an individual to study an image for approximately 30 seconds, and maintain a nearly perfect photographic memory of that image for a short time once it has been removed—indeed such eidetikers claim to "see" the image on the blank canvas as vividly and in as perfect detail as if it were still there.
http://en.wikipedia.org/wiki/Eidetic_memory
Robot: Is a virtual or mechanical artificial agent. In practice, it is usually an electro-mechanical system which, by its appearance or movements, conveys a sense that it has intent or agency of its own. The word robot can refer to both physical robots and virtual software agents, but the latter are usually referred to as bots. There is no consensus on which machines qualify as robots, but there is general agreement among experts and the public that robots tend to do some or all of the following: move around, operate a mechanical limb, sense and manipulate their environment, and exhibit intelligent behavior, especially behavior which mimics humans or other animals.
http://en.wikipedia.org/wiki/Robot
Synapses: Is a mechanical and electrically conductive link between two abutting neuron cells that is formed at a narrow gap between the pre- and postsynaptic cells known as a gap junction. At gap junctions, such cells approach within about 3.5 nm of each other (Kandel et al. 2000), a much shorter distance than the 20 to 40 nm distance that separates cells at chemical synapse (Hormuzdi et al. 2004). In organisms, electrical synapse-based systems co-exist with chemical synapses.
http://en.wikipedia.org/wiki/Electrical_synapse
The Turing Test: Is a proposal for a test of a machine's ability to demonstrate intelligence. It proceeds as follows: a human judge engages in a natural language conversation with one human and one machine, each of which tries to appear human. All participants are placed in isolated locations. If the judge cannot reliably tell the machine from the human, the machine is said to have passed the test. In order to test the machine's intelligence rather than its ability to render words into audio, the conversation is limited to a text-only channel such as a computer keyboard and screen. It was described by Alan Turing in his 1950 paper "Computing Machinery and Intelligence," in which Turing considers the question "can machines think?".
http://en.wikipedia.org/wiki/Turing_test
Unnatural Selection: The selection process is termed "artificial" when human preferences or influences have a significant effect on the evolution of a particular population or species.
http://en.wikipedia.org/wiki/Unnatural_selection
Artificial Intelligence
Artificial Intelligence (AI): is the science and engineering of making intelligent machines, especially intelligent computer programs. Major AI textbooks define the field as "the study and design of intelligent agents," where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success.
Source:
http://www-formal.stanford.edu/jmc/whatisai/node1.html
http://en.wikipedia.org/wiki/Artificial_intelligence
Artificial Intelligence: Artificial Intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents," where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines".
http://en.wikipedia.org/wiki/Artificial_intelligence
Source:
http://www-formal.stanford.edu/jmc/whatisai/node1.html
http://en.wikipedia.org/wiki/Artificial_intelligence
Artificial Intelligence: Artificial Intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents," where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines".
http://en.wikipedia.org/wiki/Artificial_intelligence
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