activity
20022026
most citedArtificial Decision Making Under Uncertainty in Intelligent Buildings

25 citations · 58 across the 12 of their papers we have counts for

collaborators

14 papers

cs.LO2026

A Catalogue of Properties of Binary Relations: Entailments, Incompatibilities, and Independence Results

Magnus Boman

We study fifteen properties of binary relations that have established uses in modal logic, order and preference theory, and relation algebra. The organising question is pragmatic:…

cs.CL2026★ 1 cited

Understanding LLM Failures: A Multi-Tape Turing Machine Analysis of Systematic Errors in Language Model Reasoning

Magnus Boman

Large language models (LLMs) exhibit failure modes on seemingly trivial tasks. We propose a formalisation of LLM interaction using a deterministic multi-tape Turing machine, where…

physics.data-an2018★ 13 cited

Modelling Reservoir Computing with the Discrete Nonlinear Schrödinger Equation

Simone Borlenghi, Magnus Boman, Anna Delin

We formulate, using the discrete nonlinear Schroedinger equation (DNLS), a general approach to encode and process information based on reservoir computing. Reservoir computing is a…

cs.CR2018

The Scalability of Trustless Trust

Dominik Harz, Magnus Boman

Permission-less blockchains can realise trustless trust, albeit at the cost of limiting the complexity of computation tasks. To explain the implications for scalability, we have im…

cs.CY2014★ 6 cited

Knowing Your Population: Privacy-Sensitive Mining of Massive Data

Pedro Sanches, Eric-Oluf Svee, Markus Bylund +2

Location and mobility patterns of individuals are important to environmental planning, societal resilience, public health, and a host of commercial applications. Mining telecommuni…

cs.AI2013★ 25 cited

Artificial Decision Making Under Uncertainty in Intelligent Buildings

Magnus Boman, Paul Davidsson, Hakan L. Younes

Our hypothesis is that by equipping certain agents in a multi-agent system controlling an intelligent building with automated decision support, two important factors will be increa…