Week 1 Flashcards

1
Q

What was one of the impresive results of early AI efforts?

A

The Lisp-based ‘Macsyma', a powerful symbolic mathematical system.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What limitations did computers and programs of the 1980s have in terms of AI?

A

They were far from capturing the fluid, adaptive intelligence of humans in tasks like object perception, language understanding, and contextual actions.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

what is the difference between thinking and acting humanly regarding machines

A

Thinking: creating cognitive processes the same as a human.
Acting: we don’t really care about cognitive processes as long as it behaves as a human and delivers the output.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Define the terms and relationships between them:

  • algorithm
  • Function
  • arguments
A

algorithm: a set of rules that defines a sequence of operations=computations using arguments
arguments=input values
function= list of instructions that can take arguments, apply an algorithm, and return output.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

what is a difference in looking at problems between psychology and AI?

A

psychology=from top to bottom. behavior or phenomena down to neural explanations: inverse. further down, we don’t have the knowledge (yet) that explains behavior

AI: from bottom to top= forward: We know how behavior is produced because we programmed it.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

timeline of important AI related events

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what is defined by weak AI according to the turing test

A

sentient=consciouss

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

How does de Kleijn et al. define intelligence
in a Turing test?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

what is Searle’s notion about strong and weak AI?

A

He was skeptical in a machine’s capabillity to have human like consciousness (strong AI). –>chinese room. His views emphasize the difference between mere computational processing and genuine understanding or consciousness.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

describe the chinese room argument of Searle

A

Rule-based manipulation of symbols does not constitute intelligence: the
inhabitant of the Chinese room does not understand Chinese.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is strong AI?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what is a problem in the definition of strong AI according to Dijkstra?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what was Minsky’s contribution to the development of AI?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is named as the birth of AI?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

what is the definition of a symbol system?

A

a system that:
* uses symbols: In humans=numbers, words, abstract representations. Computers=binary code, letters, or abstract networs
* manipulates symbols occording to known rules

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q
  • describe how symbolic AI works:
  • name a form of symbolic AI
  • what is another name for symbolic systems?
A
17
Q

What is the ELIZA system?

A
18
Q

How does ELIZA work?

A
19
Q

some early planners where susceptible to the sussman anomaly. describe this anomaly by using the “stacking blocks assignment”

A

regardless with which goal we start we won’t end up with the correct solution. Simple lineaire planningapproaces won’t work, because we need to undo cerctain actions to reach the solution

20
Q

What was the MYCIN system?

A

system that diagnosed blood infections.

21
Q

what happend in the 70s regarding AI?

A
22
Q

In the 80’s Connectionism was revived. What was McClelland’s attribution to this?

A

He contributed to the Model of human memory. founding of PDP work

23
Q

What does this early PDP work allows us to do regarding retrieving information about for example members?

A
  • Find properties of members
  • identify a member by properties
  • identify general characteristics
24
Q

what does generalization mean in the context of AI?

A

a model’s ability to adapt properly to new, previously unseen data, drawn from the same distribution as the one used to create the model.

25
Q

What does it mean to say that connectionist AI is: biologically inspired, lesion tolerant and capable of generalization?

A
26
Q

What made deep learning in AI possible during the 2000’s?

A

the inventions that made storing huge amounts of data more affordable, which we could use to train AI programs.

27
Q

what is the key difference between symbolic and connectionist AI?

A
  • Symbolic AI: Uses explicit, predefined rules and symbols to represent knowledge. It’s akin to using human-readable code or logical statements to encode information and decision processes.
  • Connectionist AI: Represents knowledge implicitly through the architecture and weights of neural networks. Learning occurs by adjusting these weights based on input data, rather than by manipulating symbolic rules.
28
Q

what is the key difference between weak and strong AI?

A
29
Q

make sure at the end you can answer these questions

A