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6 - Automated Systems And Emerging Technologies

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Total cards: 24•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (24)

#1
Front (Question)

Automated system

Back (Answer)

A combination of hardware and software that is designed and programmed to work automatically without any human intervention (however they do require humans to monitor them)

#2
Front (Question)

Automated system contain (3)

Back (Answer)

• sensors - take in data continuously and sends it to microprocessors • microprocessors - compares the data to threshold/rules/criterea • actuators - take the signals from the microprocessors and turn them into physical movements

#3
Front (Question)

Automated systems are used in (6)

Back (Answer)

• industry • transport • weather • gaming • lighting • science

#4
Front (Question)

Main advantages of automated systems (6)

Back (Answer)

• faster than humans • much safer - keeps humans away from potentially dangerous situations/environments • process can run/is more likely to run at optimum conditions (this is because small changes can be identified and made quickly) • less expensive in the long run - replaces workforce • higher productivity • more consistent results

#5
Front (Question)

Main disadvantages of automated systems (4)

Back (Answer)

• initially expensive to set up • possible that a set of conditions which didn’t occur during testing to show up (makes need for monitoring station —> in case of safety issues) • need for expert help can be hard to access and is expensive • subject to cyber attacks

#6
Front (Question)

3 laws of robotics

Back (Answer)

• a robot may not harm a human through action or inaction • a robot must obey orders given by humans, unless it contradicts law 1 • a robot must protect itself, unless it contradicts law 1

#7
Front (Question)

Robotics

Back (Answer)

A branch of computer science that bring together the design, construction and operation of robots

#8
Front (Question)

Characteristics of a robot (3)

Back (Answer)

• ability to sense their surroundings • have a degree of movement • programmable

#9
Front (Question)

Independent robots (2)

Back (Answer)

• no direct human control • can replace human activity totally

#10
Front (Question)

Dependant robots (2)

Back (Answer)

• have a human who is interfacing directly with the robot • can supplement human activity - e.g car assembly plant (humans and robots work together)

#11
Front (Question)

Robots are used in (6)

Back (Answer)

• industry • transport • agriculture • medicine • domestic/home use • entertainment

#12
Front (Question)

Automated system answer format

Back (Answer)

Sensors - reads/takes in data continuously/constantly and sends it to the microprocessor Microprocessor - checks received data against (compares) the rules/threshold/criterea Actuator - if the data lies within the threshold or meets the criterea then the actuator is actived - e.g motor is turned on *if nothing is detected by sensor the process keeps going

#13
Front (Question)

AI

Back (Answer)

Technology that enables computer and machines to simulate human learning, comprehension, problem solving, decision making, creativity and autonomy

#14
Front (Question)

Characteristic of AI (4)

Back (Answer)

• collects data • has rules • ability to reason • ability to learn and adapt

#15
Front (Question)

Types of AI (3)

Back (Answer)

• narrow AI • general AI • strong AI

#16
Front (Question)

Narrow AI

Back (Answer)

When a machine has superior performance to a human when doing one specific task

#17
Front (Question)

General AI

Back (Answer)

When s machine is similar (not superior) in its performance to a human doing a specific task (can do multiple tasks)

#18
Front (Question)

Strong AI

Back (Answer)

When a machine has superior performance to a human in many tasks - this is only a concept, it doesn’t exists

#19
Front (Question)

Types of AI systems (2)

Back (Answer)

• expert system • machine learning

#20
Front (Question)

Expert system

Back (Answer)

A computer system that mimics the decision making ability of a human, expert systems use AI to simulate the judgement and behaviour of a human or organisation that has expert knowledge

#21
Front (Question)

Machine learning

Back (Answer)

The science of training computers with sample data so that they can go on to make predictions about new unseen data, without the need to specifically program them for the new data

#22
Front (Question)

Types of machine learning (3)

Back (Answer)

• supervised • semi supervised • unsupervised

#23
Front (Question)

Setting up of an expert system

Back (Answer)

• info needs to be gathered - taken from experts, books, research papers etc • info is used to populate knowledge base that first needs to be created • rules base needs to be created - made up of a series of inference rules so that the inference engine can draw conclusions • inference engine needs to be set up • user interface needs to be developed • system testing

#24
Front (Question)

Inference engine

Back (Answer)

Main processing element in reasoned decision/conclusion making