Chapter 3 AI Flashcards
Define AI
A branch of computer science by which we can create intelligent machines which behave like humans
Define intelligence and knowledge
Intelligence is the ability to acquire and apply knowledge
While knowledge is the info acquired through experience
What is intelligence composed of
Reasoning
Learning
Solving
Perception
Linguistic intelligence
And an Agent who is the controller and environment which is the surrounding
What’s is machine perception and lost some examples
Machine perception is the ability to is input from sensors
Eg Self driving cars,Search engines and image recognition
Why do we need AI
To create expert systems that exhibit intelligence
Helping machines find solutions to complex problems
What are the goals of AI
Replicate human intelligence
Solve knowledge based tasks
Building machines that solve problems that require human intelligence
What are the advantages of AI
High accuracy and fewer errors
High speed
Reliable
Useful in risky areas
Digital assistants like Siri Alexa
Useful as a public utility
Name some disadvantages of AI
High cost
In the box thinking
No emotions
Dependency on machines
No originality
List major changes in the history of AI
Maturation stage-Artificial neurons,Hebbisn learning
Birth of AI-John McCarthy at darnouth coined AI
Golden years-chatbot-ELIZA and WABOT-1
AI winter(1974-1987,1987-1993)
Boom of AI-Expert system
Emergence of intelligent agents-chess,roomba,social media
Deep learning -current state of AI
List and define levels of AI as clear as possible
Stage-1Rule based systems-the most common used AI
Stage-2context awareness and retention-developing specific info about the domain they are in
Stage-3 Domain specific expertise -being better than humans in a specific niche
Stage-4reasoning machines-some attribution of a mental state for themeselves and others
Stage-5self award systems(AGI)-Human like intelligence
Stage-6ASI-Outsmarting humans in every domain
Stage-7Singularity and transcends massive expansions in the humans level
List the types of AI based on capabilities and functionality
Capabilities
Narrow or Weak basic AI currently lower than humans
General on par with human thinking
Super above human thinking in every aspect
Functionality
Reactive machines react of present memory
Theory of mind have a mind of a human and think like one
Self awareness aware of existence and surroundings
Limited memory process on a limited memory that is stored for a short amount of time
What are the main parts or steps of cognitive process
Input observe and input info/data into brain
Evaluation interpret and evaluate the data
Output give a reaction on the received data
What are the influencers of AI
Big data structured and unstructured data that is applied as input to the AI
Computer processor Power of computer and API is programers use to change and write programs
Cloud computing using internet delivery on-demand services
Data science processing big data for a better result
List some platform of AI tools
Microsoft AZURE
IBM Watson
google cloud prediction
Tensor flow
