Znanstvena metoda:
Strukture znanstvenega védenja, znanstvene aktivnosti in procesi
Uvod:
Motivacija, cilji, koristnost inteligence. Definicije naravne, inženirske, umetne inteligence. Študije inteligence. Višje stopnje razumevanja.
Informacijska družba:
Definicija informacijske družbe. Trendi informacijske družbe, lastnosti, primeri uporabe. Dileme v sedanji in prihodnji družbi. Inteligentne storitve in sistemi v informacijski družbi.
Umetna inteligenca:
Pregled umetne inteligence (po knjigi avtorjev Russel in Norvig).
Generativna umetna inteligenca (GPT).
Inteligentni sistemi:
Osnove inteligentnih sistemov. Inteligentni sistemi v poslovanju, tehniki, znanosti. Metode in tehnike inteligentnih sistemov. Primeri odmevnih aplikacij. Pregled sorodnih predmetov po svetu.
Inteligentni agenti:
Agenti kot osnovni gradniki umetne inteligence. Tipi agentov. Hierarhija agentov. Platforme injeziki. Repozitoriji agentov. Agenti e-poslovanja. Pomembne aplikacije agentov. Pregled sorodnih predavanj.
Ambientalna inteligenca:
Definicija ambientalne inteligence. Uporaba inteligentnih sistemov in agentov. Metode za reševanje pomembnejših nalog ambientalne inteligence. Primeri aplikacij in večjih sistemov.
Superinteligenca in princip mnogoterega znanja:
Definicije. Indikatorji. Posledice. Primeri snovanja sistemov.
Izzivi pri uvajanju inteligentnih sistemov in agentov:
Specifike pri uvajanju inteligentnih sistemovin agentov. Prednosti in slabosti v primerjavi s klasičnimi pristopi.
Scientific Method:
Scientific knowledge structures, scientific activities/processes
Introduction:
Motivation, goals, usefulness of intelligence. Definitions of natural, engineering, artificial intelligence. Studies of intelligence. Higher levels of understanding.
Information society:
Definition of information society. Trends of information society, properties, practical examples of use. Dilemmas in the current and future society. Intelligent services and systems in information society.
Artificial intelligence:
Short overview of AI (based on the book by Russel and Norvig).
Generative AI (GPT).
Intelligent systems:
Principles and motivations of intelligent systems. Intelligent systems in business, engineering, science. Methods and techniques of intelligent systems. Examples of killer applications. Overview or relevant courses at best institutions
Intelligent agents:
Agents as basic ingredients of artificial intelligence. Types of agents. Hierarchy of agents. Platforms and languages. Agent repositories. E-business agents. Overview of world-wide lectures.
Ambient intelligence:
Definition of ambient intelligence. Use of intelligent systems and agents. Approaches to major tasks in ambient intelligence. Examples of applications and systems.
Superintelligence and the principle of multiple knowledge:
Definitions. Indicators. Consequences. Examples of applications.
Challenges when introducing intelligent systems and agents:
Specifics of intelligent systems and agents. Advantages and weaknesses compared to classical approaches.