Here are the keys points about the history of Artificial intelligence In 1931, Goedel layed the foundation of Theoretical Computer Science1920-30s: He published the first universal formal language and showed that math itself is either flawed or allows for unprovable but true statements. In 1936, Turing reformulated Goedel’s result and church’s extension thereof In 1956, … Read more
Top following introduction of Artificial intelligence Artificial Intelligence is concerned with the design of intelligence in an artificial device. The term was coined by John McCarthy in 1956. Intelligence is the ability to acquire, understand and apply the knowledge to achieve goals in the world. AI is the study of the mental faculties through the … Read more
A learning agent can be divided into four conceptual components The most important distinction is between the learning element, which is responsible for making improvements, and the performance element, which is responsible for selecting external actions. The performance element is what we have previously considered to be the entire agent: it takes in percepts and … Read more
When the agent turns the steering wheel clockwise, the car turns to the right, or that after driving for five minutes northbound on the freeway, one is usually about five miles north of where one was five minutes ago. This knowledge about “how the world works”—whether implemented in simple Boolean circuits or in complete scientific … Read more
If the environment can change while an agent is deliberating, then DYNAMIC we say the environment is dynamic for that agent; otherwise, it is static. Static environments are easy to deal with because the agent need not keep looking at the world while it is deciding on an action, nor need it worry about the … Read more
In an episodic task environment, the agent’s experience is SEQUENTIAL divided into atomic episodes. In each episode the agent receives a percept and then performs a single action. Crucially, the next episode does not depend on the actions taken in previous episodes. Many classification tasks are episodic. For example, an agent that has to spot … Read more
The rationality of the simple vacuum-cleaner agent, we had to specify the performance measure, the environment, and the agent’s actuators and sensors. We group all these under the heading of the task environment. For the acronymically minded, we call PEAS this the PEAS (Performance, Environment, Actuators, Sensors) description PEAS description for the taxi’s task Agent … Read more
An agent is anything that can be viewed as perceiving its environment through sensors and SENSOR acting upon that environment through actuators A human agent has eyes, ears, and other organs for sensors and hands, legs, vocal tract, and so on for actuators. A robotic agent might have cameras and infrared range finders for sensors … Read more
Here are the top keys point of Artifical intelligence Different people approach AI with different goals in mind. Two important questions to ask are: Are you concerned with thinking or behavior? Do you want to model humans or work from an ideal standard? we adopt the view that intelligence is concerned mainly with rational action. … Read more
Here is top application of AI (Artificial intelligence) Robotic vehicles A driverless robotic car named STANLEY sped through the rough terrain of the Mojave dessert at 22 mph, finishing the 132-mile course first to win the 2005 DARPA Grand Challenge. STANLEY is a Volkswagen Touareg outfitted with cameras, radar, and laser rangefinders to sense the … Read more