Uva artificial intelligence master thesis

Artificial Intelligence in Progress

The University of Amsterdam is striving for a better balance in its staff whereby, by equal suitability, the appointment of a female candidate will have our preference. Women are, therefore, strongly encouraged to apply. You may only submit your application online using this link. We will accept applications until 16 July To process your application immediately, please quote vacancy number The committee does not guarantee that it will consider late or incomplete applications.

In the research statement see below you should clearly describe your research vision in relation to the topics that we described, as well as a clear statement which would be your direction of research. In your application you should clearly indicate which of the five positions it is that you are applying for.

You should also include the following information, in separate PDF files not zipped , using surname, initials and a self-evident word as file names, e. The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions.

The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.


Please contact support euraxess. Skip to main content. This site requires JavaScript. While the resulting dialogue agents often already achieve reasonable performance on their respective task, none of the models can produce consistent and efficient outputs during a multi-turn conversation. We argue that this is primarily due to the fact that they cannot properly utilise the dialogue history. Human interlocutors on the other hand are shown to collaboratively establish a shared repository of mutual information during a conversation.

This common ground then is used to optimise understanding and communication efficiency. We therefore propose that implementing a similar representation of dialogue context for computational dialogue agents is a pivotal next step in improving the quality of their dialogue output.

One of the main reasons why current research seems to eschew modelling common ground is that common ground is a conversation model concept that cannot be assessed directly in actual conversations. In order to address this problem, we propose to first investigate the generation of referring expressions: Being an indirect representation of a referent object, they too are not absolute, but conventions established with a specific conversation partner - based on the common ground established so far.

By tracking the development of referring expressions during a conversation we therefore obtain a proxy of the underlying processes in the emerging common ground. In order to develop an artificial dialogue agent that can utilise the conversation's common ground, we propose to implement a data-driven, modular agent architecture in an end-to-end training framework. With this setup, the dialogue agent is expected to learn the correct usage of referring expressions from recorded dialogue data directly and can be evaluated on downstream task performance.

Opting for this approach however requires a large amount of dedicated dialogue training data that has never been collected before. To initiate this new track in dialogue modelling research, we therefore introduce a novel conversation task called the PhotoBook task that can be used to collect rich, human-human dialogue data for extended, goal-oriented conversations. We use the PhotoBook task to record more than 2, dialogues stemming from over 1, unique participants on crowd-sourcing platform Amazon Mechanical Turk AMT.

The resulting data contains a total of over k utterances, k actions and spans a vocabulary of close to 12k unique tokens. An extensive analysis of the data validates that the recorded conversations closely resemble the dialogue characteristics observed in natural human-human conversations. We therefore argue that this data provides a pivotal new repository to be used in further research which has the potential to significantly improve the dialogue output consistency, efficiency and naturalness of artificial dialogue agents.

My thesis is available as a download from the university's server here.

In , Xu and Reitter introduced a novel, information-theoretic view of dialogue, in which they proposed modeling a conversation between two interlocutors as a two-way communication system. In such a system the information flow follows a number of general principles. One of those principles that is assumed to hold in dialogue as well is the Uniform Information Density hypothesis UID.

The UID hypothesis states that a communication system as a whole has the tendency to distribute data in such a way that the density of information remains constant.

Personal homepage of Christian Schaffner

In two-party dialogue both interlocutors are equal parts of the communication system. This means that they are jointly responsible for the level of information density at every moment of the conversation. In order to ensure the validity of the UID hypothesis, the two speakers must therefore have an agreement in an implicit sense about their contribution to the conversation. Xu and Reitter propose that speakers take on certain roles during a conversation: One leads the conversation by steering the ongoing topic, while the other follows along.

These roles can switch during a conversation and rather than steering turn-taking behavior, they describe a higher-level segmentation of a conversation into topics. Master graduate is the second level of higher education designed for bachelors who plan to become scientists. PhD programmes are only offered by Research universities and last for 4 years. PhD degree can be gained after defending of doctoral dissertation.

  • Master Thesis AI - Artificial Intelligence - University of Amsterdam.
  • Dutch Students.
  • animal physiology essay questions.
  • urdu essay about terrorism!
  • Plan je bezoek!

Artificial Intelligence is a field that develops intelligent algorithms and machines, like self-driving cars, smart cameras, robotic manufacturing, internet searches and product recommendations. All prices are for one year or the whole course if it is short.

Applications Open for Companies to Participate in the UvA Informatics Thesis Fair

Upon graduating programmes accredited by NVAO students obtain recognized degrees. About us Newsletter Contacts Ask a question. University of Amsterdam. Read more about degrees. About programme.

Read more on the university website. More about tuition fees in Holland. More application via Studielink.

A-Z - Artificial Intelligence - University of Amsterdam

Curriculum Total credits required: Related video. Grants scholarships Sorry, no grant information about this programme is available.


The Master Thesis AI is a mandatory part of the master programme, in which you Thesis project takes place at one of the research institutions at the UvA or at. Master programme: Artificial Intelligence, October 14th, Research group: Amsterdam Machine Learning Lab, Graduation thesis, Supervisor: Max Welling.

Contacts Sorry, no contact information for this programme. Ask a question. Find the international study programme in the Netherlands Important notes All prices are for one year or the whole course if it is short. The prices are for study only. Related articles How to choose programme Types of universities Education costs. Any field of study. Interdisciplinary programmes. Any degree.

Artificial Intelligence Full Course - Artificial Intelligence Tutorial for Beginners - Edureka

Preparatory courses certificate. Short courses certificate. Applied Bachelor 1—4 years. Academic Bachelor 3 years.