The IPMU conference is organized every two years since 1986 with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. The conference also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. Papers containing research advances are expected on the following nonexclusive sets of topics. Theory, Methods and Tools: Uncertainty, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Machine Learning, Evolutionary Computation, Neural Networks and more.