This paper presents a method for determining the area explored by a
line...
We propose a many-sorted modal logic for reasoning about knowledge in
mu...
In recent years, a new class of models for multi-agent epistemic logic h...
We develop a homology theory for directed spaces, based on the semi-abel...
Neural ordinary differential equations (NODEs) – parametrizations of
dif...
The recent emergence of navigational tools has changed traffic patterns ...
Effective inclusion of physics-based knowledge into deep neural network
...
The standard semantics of multi-agent epistemic logic S5 is based on Kri...
We study learning based controllers as a replacement for model predictiv...
This paper studies the problem of range analysis for feedforward neural
...
We explore the reinforcement learning approach to designing controllers ...
We extend the formalisation of confluence results in Kleene algebras to ...
Simplicial complexes are a versatile and convenient paradigm on which to...
In this paper we study the solvability of the equality negation task in ...
A semantics of concurrent programs can be given using precubical sets, i...
The usual epistemic model S5n for a multi-agent system is based on a Kri...
This short note introduces a notion of directed homotopy equivalence and...
The computability power of a distributed computing model is determined b...
The usual epistemic S5 model for multi-agent systems is a Kripke graph, ...