In this multi-disciplinary programme, elements from biology, social sciences, economics and computer science are integrated. By continuously generating new and diverse variants, organisms of increasingly large complexity are realised during biological evolution. Methods have been developed in AI (evolutionary methods, genetic algorithms), with which these evolution processes can be simulated. In nature, evolution leads to organisms that have such adapted to their environments that they can survive; in AI, evolution leads to acceptable solutions for problems. These methods turn out to be well applicable for the dicovery of structure in large quantities of data (datamining).
In biological populations, the interaction between organisms can also be further analysed, determining largely how successfully an organism can function; this is the subject of ecology and population dynamics.
Concerning social sciences, models have been developed with which dynamic organisation can be described and simulated. Such methods are used in organisation theory to analyse large organisation and analyse and support processes of change within such organisations.
In economics, simulation models are being developed in the area of merket mechanisms, in shich the behaviour of individuals leads to patterns in the economics as a whole.
This programme is for students having a Bachelor in Computer Science.
The objective of the programme is to endow the student with the developments on the area of artificial intelligence and computer science, and to prepare for a profession as researcher or expert in a company. The curriculum must give a good preparation on PhD research. It is expected from the graduate to be critical in a scientific manner, te be aware of societal aspects of information technology and of the creation of intelligent systems.
The graduate student of this Master programme is capable of applying techniques from Computer Science to problems of an Artificial Intelligence nature, e.g., designing knowledge-based systems or multi-agent systems. This technically adapt graduate, furthermore, has learned proven AI techniques in the areas of mahine learning, neural networks, knowledge representation, and evolutionary computing. Graduate students are well equiped for work in companies that create intelligent applications.
Students must also follow optional courses for a total of 8 cp.
Design of Multi-Agent Systems
1 and 2
1 and 2
Design of Multi-Agent Systems Practical
3 and 4
4 en 5
Facets of AI
5 and 6
Project Knowledge Systems
5 and 6
Students must also follow optional courses for a total of 11 cp.
Inleiding in de Psychologie voor AI
Intelligent Interactive Distributed Systems
2 and 3
Intelligent Web Applications
4 and 5
Master Project Artificial Intelligence
4, 5 and 6
Recommend optional courses
The course Dutch for foreigners is also an option.
Knowledge Management and Modeling
1 and 2
Functieleer (Experimental Psychology)
Data Mining Techniques
4 and 5
Automated Reasoning in AI
5 and 6
Mini Master Project AI
Throughout the year
This variant allows students to integrate Artificial Intelligence intensively with another discipline, like Law or Linguistics. Graduates will work in a company, for a research institute or a governmental institute in close cooperation with others of the chosen discipline. This variant is intended for those students that like to specialise in one of the mentioned disciplines.
AI and Law
In the research area AI and Law two main streams can be recognised. The first is practical or applied AI and Law, aiming to develop proper legal applications. Examples are legal databases, automated role management and legal advisory systems. The second is theoretical AI and Law or computational theory of law. This second stream is interested in foundations of and insights into Law and legal reasoning, as well as in testing AI-techniques within the legal domain. Recent research thems are validation of legal kowledge-based systems, dialogue models of legal reasoning, distributed applications.
In legal practice gradually more computer applications are being realised. The judicaiary and police automate their administraion. Lawyer's offices develop know-how-systems to manage the vailable knowledge and improve their market position. The government develops systems to aid civil servants in the drafting of legislation and the execution. These systems vary from administrative systems and databases to knowledge-based systems.
Programme for students having a Bachelor in AI
Students must also follow optional courses for a total of 30 cp. Besides these, students must also choose two courses from the compulsory optional courses.
An important aspect of intelligent behaviour is the ability to use language to communicate. Natural languages are highly symbolic, thightly structured communication systems. Linguistic research focuses on the methods and techniques needed to analyse the structure of natural languages and to use natural language in computer systems. Such linguistic knowledge can be applied to the creation of user interfaces to knowledge-based systems, automated support in the writing of technical manuals, and automated information retrieval from huge text sources. There is a growing demand for supporting linguistic technology in the development of intelligent spelling checkers, thesauri,a nd knowledge representaion of terms and concepts in domains of application. Artificial Intelligence techniques are, in turn, put to good use in linguistics. for example in the development of an extended electronic corpus of spoken and written Dutch, or in the maintenance of a knowledge-base of Dutch an Belgian governmental terminology. Retrieving information from such large databases requires a good conceptual model, and a suitable format for the lexicon.
Teaching of courses in the Faculty of Arts cannot be guaranteed to be in English.
Students must also follow optional courses for a total of 48 cp.