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Department of Computing and Automation, Faculty of Technical Sciences. Chair of Informatics. 2013. Artificial intelligence. Đorđe Obradović, Marko Joci ć. Agenda. What is AI? History of AI Problems of AI Applications or uses of AI. What is Artificial intelligence?.

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Department of Computing and Automation, Faculty of Technical Sciences

Chair of Informatics


Artificial intelligence

Đorđe Obradović, Marko Jocić

Agenda Sciences

  • What is AI?

  • History of AI

  • Problems of AI

  • Applications or uses of AI

What is artificial intelligence
What is Artificial intelligence? Sciences

  • The branch of computer science

  • Problem solving

  • The ability of a computer or other machine to perform those activities that are normally thought to require intelligence

  • The study and design of Intelligent Agent

What is artificial intelligence1
What is Artificial intelligence? Sciences

1956. John Mc Carty, MIT

The science and engineering of making intelligent machine

  • especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence.

What is artificial intelligence2
What is Artificial intelligence? Sciences

The branch of computer science concerned with making computers behave like humans.


A system that makes it possible for a machine to perform functions similar to human intelligence.

History of ai
History of AI Sciences

  • 1956. Term Artificial Intelligence introduced

  • Computer were solving word problem in algebra, proving logical theorems and speaking English.

  • In the early 80s AI research was received by the commercial success of Expert System.

  • In the 90s and early 21st century: AI achieved its greatest success.

History of ai 90s and beyond
History of AI (90s and beyond) Sciences

  • 1997. Deep Blue – chess-playing computer beats reigning world champion Garry Kasparov

    • Kasparov demanded a rematch because he thought the computer was cheating 

  • Deep Blue could evaluate 200 million positions per second

    • Today’s Intel Core 2 Duo CPU is capable of evaluating 8 million positions

History of ai 90s and beyond1
History of AI (90s and beyond) Sciences

  • 2005. Stanford robot – driving autonomously for 131 miles along an unrehearsed desert trail

    • 2010. Google driverless car – driving in cities, and also racing on test courses. No accidents so far!

    • 2011 – present - self-driven cars legalized in some states of USA

History of ai 90s and beyond2
History of AI (90s and beyond) Sciences

  • 2011. Watson – IBM’s question answering machine defeated two greatest champions of Jeopardy! quiz

  • capable of answering questions posed in natural language

  • 200 millions pages of data (4 TB of disk storage)

  • received prize of $1 million for victory 

Problems of ai
Problems of AI Sciences

The problem of simulating (or creating) intelligence has been broken down into a number of specific sub-problems.

Problems of ai1
Problems of AI Sciences

  • Deduction, reasoning, problem solving

    • Early AI researches developed Algorithms that imitated the step-by-step reasoning that human beings use when they solve puzzles, play board games or make logical deductions.

Problems of ai2
Problems of AI Sciences

  • Knowledge Representation

    • Many of the problems machines are expected to solve will require extensive knowledge about the world.

Problems of ai3
Problems of AI Sciences

  • Planning

    • Intelligent agents must be able to set goals and achieve them. They need a way to visualize the future and be able to make choices that maximaze the utility (or “value”) of the available choices.

Problems of ai4
Problems of AI Sciences

  • Learning – Machine learning

    • The mathematical analysis of the machine learning algorithms and their performance is branch of theoretical computer science known ascomputational learning theory

Problems of ai5
Problems of AI Sciences

  • Natural language processing

    • Natural language processing gives machines the ability to read and understand the languages that human beings speak.

Problems of ai6
Problems of AI Sciences

  • Motion and manipulation

    • The field of robotics is closely related to AI. Intelligence is required for robots to be able to handle such tasks as object manipulation and navigation, with sub problems of localization (knowing where you are), mapping (learning what is around you) and motion planning (figuring out how to get there)

Problems of ai7
Problems of AI Sciences

  • Perception

    • Machine perception is the ability to use input from sensors (such as cameras, microphones, sonar and others more exotic) to deduce aspects of the world.


  • How it works? Sciences

    • How human beings performs intelligence tasks?

    • Is it possible to use those abilities in computer programs?

    • How?

Motivation Sciences

  • Try to solve this equations FAST without using calculator:

Motivation Sciences

  • If the car traveling at the speed of 61.34 km/h, for how many minutes will exceed 29.56 km?

Motivation Sciences

  • Do we use some shortcuts?

  • For example..

Motivation Sciences

  • Or

Motivation Sciences

  • Do we use some shortcuts?

  • For example..

If the car traveling at the speed of 61.34 km/h, for how many minutes will exceed 29.56 km?

61.34 km/h is approximately 60 km/h, which is about 1 km/min.

So it means that we will need about half an hour to arrive at the destination of 29.56 km.

Motivation Sciences

  • If we can use such shortcuts, how we can use them in computer programs?

  • In the real applications length of 16cm is almost same as 16.01cm

  • If we insist on accuracy sometimes our program cam make wrong conclusion.

Motivation Sciences

Example 1




Intersection p1 and p2




Motiva tion
Motiva Sciencestion

Example 1



PostGIS 8.4.4 functions:

contains, intersection




st_geomfromewkt('LINESTRING(1 1, 5 5)'),

st_geomfromewkt('LINESTRING(1 4, 5 1)')


st_geomfromewkt('LINESTRING(1 4, 5 1)')





Motivation Sciences

What is the date?

How many triangles are

shown on the picture.

Is this a car or house?

Motivation Sciences

Arrange geometric shapes to occupy the

smallest area.

Allowed operations are move and rotate

Motivation Sciences

Which artist is most often appears on the

list. How many times?

Motivation Sciences

Find 5 differences

Motivation Sciences

What is shown on the figure?

Motivation Sciences

How many persons are shown on the picture?


Parameters Sciences

Model structure

Hidden concepts




Crisp or uncertain

Reinforcement learning





Pattern recognition







Online, offline



Active, passive


State space









Neural computing

Games, entertainment, sport

Fuzzy systems


Probabilistic reasoning

Evolutionary computation


Swarm intelligence

Agricultureand industry

Natural language processing
Natural language processing Sciences

  • Gives machines the ability to read and understand the languages human beings speak

  • Requires in-depth knowledge of the languages that are processed

  • The goal is often natural language understanding – enabling computers to derive meaning from human language input

Speech recognition
Speech recognition Sciences

  • Technology that allows the computer to identify and understand words spoken by a person using a microphone or telephone

  • Many challenges:

    • different accent

    • slang

    • background noise

Facial recognition
Facial recognition Sciences

  • Automatically identifying or verifying a person from a digital image or a video frame from a video source

  • Uses:

    • security systems

    • crime prevention

    • auto-focus (on modern

      mobile devices and camers)

Military Sciences

  • Faster collection and examination of large amounts of information

  • Improving reaction and decision-making for more effective military actions

  • High-performance fighter aircraft

  • Training simulators

Medicine Sciences

  • Clinical decision support systems

  • Computer-aided medical diagnosis

  • Computer-aided interpretation of medical images (CT, MRI, ultrasound…)

And many others
And many others… Sciences

  • Finance – market predicting

  • Transportation – automatic gearboxes who utilize fuzzy logic

  • Music – can computer be a skillful musician?

  • Toys – artificial pets

  • Real estate – risk analysis

  • E-mail spam filtering

  • Games

Games ai
Games & AI Sciences

Maze Sciences

Chess dragon
Chess Dragon Sciences

Sudoku Sciences

Puzzle Sciences

Numbrix Sciences

Demonstrations Sciences

  • Demos of AI in games:

    • Are you faster then a computer?

    • Can you beat a simple chess AI?

  • Demos of AI in computer vision:

    • Real-time object tracking

    • Medicine – image segmentation

    • Optical character recognition (OCR)

Demonstrations Sciences

  • Demo of AI in natural language processing:

    • Have a chat with a bot

  • Others:

    • Control a car with motion gestures

    • Control mouse pointer with random object