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Symbolic Solution of Emerson-Lei Games for Reactive Synthesis
(2024)
Emerson-Lei conditions have recently attracted attention due to both their succinctness and their favorable closure properties. In the current work, we show how infinite-duration games with Emerson-Lei objectives can be ...
Fair Omega-regular Games
(27th International Conference on Foundations of Software Science and Computation Structures, 2024)
We consider two-player games over finite graphs in which both players are restricted by fairness constraints on their moves. Given a two player game graph G=(V,E) and a set of fair moves E_f a subset of E a player is said ...
THE CONSENSING APPROACH TO STRATEGIZING: The Dynamics of Dialogue in Public Sector Digital Transformation
(2024-04-10)
This thesis explores the role of consensing, a process of cognitive consensus-building through the mechanisms of sensing and synthesizing, in digital transformation strategy formulation within the Swedish public sector. ...
Unraveling The Black Box - Building Understandable AI Through Strategic Explanation and User-based Design
(2024)
The pervasive integration of Artificial Intelligence (AI) in society presents
both opportunities and challenges, with the black-box issue emerging as a
significant obstacle in realizing the full potential of AI. The ...
Faster Game Solving by Fixpoint Acceleration
(2024)
We propose a method for solving parity games with acyclic (DAG) sub-structures by computing nested fixpoints of a DAG attractor function that lives over the non-DAG parts of the game, thereby restricting the domain of the ...
Intuitive Modelling and Formal Analysis of Collective Behaviour in Foraging Ants
(2024)
We demonstrate a novel methodology that integrates intuitive
modelling, simulation, and formal verification of collective behaviour in
biological systems. To that end, we consider the case of a colony of foraging
ants, ...
Synthesis for prefix first-order logic on data words
(2024)
We study the reactive synthesis problem for distributed systems with an unbounded number of participants interacting with an uncontrollable environment. Executions of those systems are modeled by data words, and specifications ...
Enhancing Requirements Engineering Practices Using Large Language Models
(2024)
Background: Large Language Models (LLMs) offer users natural language
interaction, technical insights and task automation capabilities. However,
the systematic integration of LLMs within Requirements Engineering ...
Pedestrian Behavior Prediction Using Machine Learning Methods
(2024-11-14)
Background: Accurate pedestrian behavior prediction is essential for reducing fatalities from pedestrian-vehicle collisions. Machine learning can support automated vehicles to better understand pedestrian behavior in complex ...
Automata Constructions for LTL with Past
(Department of Computer Science and Engineering University of Gothenburg | Chalmers University of Technology, 2024)
Linear temporal logic (LTL) is a popular language in formal verification,
especially in the domains of model checking and reactive synthesis. Because
its semantics is defined in terms of infinite sequences of symbols ...