**Abstract:** We enable aProbLog—a probabilistic logical programming approach—to reason in presence of uncertain probabilities represented as Beta-distributed random variables. We achieve the same performance of state-of-the-art algorithms for highly specified and engineered domains, while simultaneously we maintain the flexibility offered by aProbLog in handling complex relational domains.

*Our motivation is that faithfully capturing the distribution of probabilities is necessary to compute an expected utility for effective decision making under uncertainty: unfortunately, these probability distributions can be highly uncertain due to sparse data. To understand and accurately manipulate such probability distributions we need a well-defined theoretical framework that is provided by the Beta distribution, which specifies a distribution of probabilities representing all the possible values of a probability when the exact value is unknown.*

]]>

**Abstract: **Robotic systems are multi-dimensional entities, combining both hardware and software, that are heavily dependent on, and influenced by, interactions with the real world. They can be variously categorised as embedded, cyberphysical, real-time, hybrid, adaptive and even autonomous systems, with a typical robotic system being likely to contain all of these aspects. The techniques for developing and verifying each of these system varieties are often quite distinct. This, together with the sheer complexity of robotic systems, leads us to argue that diverse formal techniques must be integrated in order to develop, verify, and provide certification evidence for, robotic systems. Furthermore, we propose the fast evolving field of robotics as an ideal catalyst for the advancement of integrated formal methods research, helping to drive the field in new and exciting directions and shedding light on the development of large-scale, dynamic, complex systems.

Hideki will give a talk on “Infinite Adequacy Theorem through Coinductive Definitions” today at 14:00 as a part of our Theory seminar series and Kristijonas will speak on “Argumentation-enabled Explainable AI Applications” this Thursday at 15:00 at the CoFo.

Hideki Tsuiki

Professor (Course of Mathematical Science, Graduate School of Human and Environmental Studies, Kyoto University). Ressearch Interests: Computation over Real numbers and Topological spaces, Domains and their topologies, Fractals and their models, Semantics of Programming Languages, Object Oriented Programming, Mathematical Logic, Lambda Calculus.

Kristijonas Čyras

Postdoctoral Researcher in AI at the Department of Computing, Imperial College London. I manage researchers, enthusiastically supervise and teach students, present my work at top tier international conferences, review and assess the works of others and give highest quality feedback, organise research events, represent and speak on behalf of my colleagues and fellow AI researchers during institutional and public engagement opportunities.

mla2019.loria.fr/

Ulrich Berger is currently attending the 3rd Workshop on Mathematical Logic and its Applications, Nancy, France, where he will present a talk on Extracting the Fan Functional.]]>

]]>

**Abstract: **Although formal logic is usually applied to reason about truth, in the current resentation we apply it to reason about dishonesty. Based on work in philosophy, we provide a formalisation of different forms of dishonesty, including lies, half-truth and bullshit, and discuss their formal properties. We also provide maxims for dishonest communication, that agents should ideally try to satisfy, both for moral and self-interested reasons.

Martin Caminada

Martin Caminada has as main research interests formal models of human argument and argumentation as a form of nonmonotonic reasoning. In 2004 he obtained a Ph.D. in computer science with his thesis “For the Sake of the Argument; explorations into argument-based reasoning”. From 2004 to 2007 he w…

More information is here:

]]>