AP

Aske Plaat

6 records found

Large-scale survey tools enable the collection of citizen feedback in opinion corpora. Extracting the key arguments from a large and noisy set of opinions helps in understanding the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require lar ...
Sequential decision making, commonly formalized as Markov Decision Process (MDP) optimization, is an important challenge in artificial intelligence. Two key approaches to this problem are reinforcement learning (RL) and planning. This survey is an integration of both fields, bett ...
Sequential decision making, commonly formalized as optimization of a Markov Decision Process, is a key challenge in artificial intelligence. Two successful approaches to MDP optimization are reinforcement learning and planning, which both largely have their own research communiti ...

HyEnA

A Hybrid Method for Extracting Arguments from Opinions

The key arguments underlying a large and noisy set of opinions help understand the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets and (2) work well for known viewpoints, but not for novel points of view. We pr ...

Level Design Patterns That Invoke Curiosity-Driven Exploration

An Empirical Study across Multiple Conditions

Video games frequently feature 'open world' environments, designed to motivate exploration. Level design patterns are implemented to invoke curiosity and to guide player behavior. However, evidence of the efficacy of such patterns has remained theoretical. This study presents an ...

Shinobi Valley

Studying curiosity for virtual spatial exploration through a video game

Curiosity is a strong motivator for human action, but the circumstances under which one becomes curious are not clear. This paper builds on the assumption that video games can be used as a stimulus for the experimental study of curiosity, and forms a basis in examining the type o ...