Agent Technology

 
Degree: Master
University: Utrecht University , Faculty: Faculty of Natural Sciences
City: Utrecht , Country: Netherlands
Discipline: Natural Sciences
 
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  • Max Duration 24
  • Tuition fee € 1672
    € 17350 (non-EEA)
  • Start Date of Studies February, September
  • Admission deadline March 1 (September Start); September 1 ( February Start)
  • Programme Alternatives full-time
  • Educational Form research
  • Language English
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  • Programme Description

    Programme Description

    The Agent Technology programme studies intelligent systems, focusing on the notion of an intelligent agent. An agent is an artificial (computer-based) entity that can act pro-actively, reactively, autonomously and rationally in a dynamic environment. Agents can reason about the situation they are in, plan their actions, revise their beliefs, learn, communicate, cooperate, etcetera.

    Throughout the history of computer science, people have been fascinated with the question of whether computers can be made "intelligent". During the early days of the field this was a mainly philosophical question, but nowadays intelligent computer systems support ever more complex applications. Systems have not only become more complex; they also operate in ever more open environments. Systems from different organisations are coupled in order to support commercial transactions or the efficient exchange of data. Many systems are connected to the Internet and can thus be accessed by different people and programmes. Consequently, it is impossible to predict all interactions the systems will have.

    The systems should therefore become more intelligent and autonomous, so that they can deal with unexpected events and circumstances. These phenomena can be found in very diverse areas, ranging from robots operating in the physical world to searchbots on the Internet and virtual games, and from programmes supporting e-commerce to systems supporting complex decision-making in such areas as business, medicine and law.

    The Agent Technology programme emphasises the logical and symbolical models involved in describing and implementing agents. Key topics in this programme are agent-oriented software engineering, theory of agents and multi-agent systems, cognitive robotics, (common sense) reasoning and learning (adaptive behaviour). Several application areas of intelligent agents are studied, including electronic business, soccer and rescue robots, virtual games, diagnosis of complex industrial systems, and medical and legal decision-making.

 
 
 

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