Categories |
MACHINE LEARNING
ARTIFICIAL INTELLIGENCE
|
About |
The 1st International Workshop on Active Inference wants to bring together researchers on active inference as well as related research fields in order to discuss current trends, novel results, (real-world) applications, to what extent active inference can be used in modern machine learning settings, such as deep learning, and how it can be unified with the latest psychological and neurological insights. Active inference is a theory of behaviour and learning that originated in neuroscience (Friston et al., 2006). The basic assumption is that intelligent agents entertain a generative model of their environment, and their main goal is to minimize surprise or, more formally, their free energy. The agents do so either by updating their generative model, so that it becomes better at explaining observations (i.e. learning), or by selecting policies that will resolve their surprise (i.e. acting), for example by moving towards prior, preferred states, or by moving towards less ambiguous states (Friston et al., 2017). |
Call for Papers |
Papers on all subjects and applications of active inference and related research areas are welcome. Topics of interest include (but are not limited to):
|
Summary |
IWAI 2020 : 1st International Workshop on Active Inference will take place in Ghent, Belgium. It’s a 5 days event starting on Sep 14, 2020 (Monday) and will be winded up on Sep 18, 2020 (Friday). IWAI 2020 falls under the following areas: MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, etc. Submissions for this Workshop can be made by Jun 09, 2020. Authors can expect the result of submission by Jul 09, 2020. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the IWAI 2020
|
Credits and Sources |
[1] IWAI 2020 : 1st International Workshop on Active Inference |