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This paper describes the architecture of R&D Analyst, a commercial intelligent decision system for evaluating corporate research and development projects and portfolios. In analyzing projects, R&D Analyst interactively guides a user in…

Artificial Intelligence · Computer Science 2013-03-25 Peter J. Regan , Samuel Holtzman

Within the area of multi-agent systems, normative systems are a widely used framework for the coordination of interdependent activities. A crucial problem associated with normative systems is that of synthesising norms that effectively…

Multiagent Systems · Computer Science 2017-10-16 Javier Morales , Michael Wooldridge , Juan A. Rodríguez-Aguilar , Maite López-Sánchez

The purpose of the research presented in this article is to develop a dynamic system for forecasting and minimizing the risks of an industrial company based on their quantitative assessment. The article considers the conceptual apparatus of…

Risk Management · Quantitative Finance 2022-02-02 Denis S. Gusev , Elena G. Demidova , Olga A. Novikova

Social norms are powerful formalism in coordinating autonomous agents' behaviour to achieve certain objectives. In this paper, we propose a dynamic normative system to enable the reasoning of the changes of norms under different…

Artificial Intelligence · Computer Science 2016-04-19 Xiaowei Huang , Ji Ruan , Qingliang Chen , Kaile Su

This paper reviews the role of expert judgement to support reliability assessments within the systems engineering design process. Generic design processes are described to give the context and a discussion is given about the nature of the…

Methodology · Statistics 2007-08-03 Tim Bedford , John Quigley , Lesley Walls

This paper presents an extended version of the SPADE platform, which aims to empower intelligent agent systems with normative reasoning and value alignment capabilities. Normative reasoning involves evaluating social norms and their impact…

We consider the joint problem of online experiment design and parameter estimation for identifying nonlinear system models, while adhering to system constraints. We utilize a receding horizon approach and propose a new adaptive input design…

Systems and Control · Electrical Eng. & Systems 2025-12-02 Jingwei Hu , Dave Zachariah , Torbjörn Wigren , Petre Stoica

Inspired by widely-used techniques of causal modelling in risk, failure, and accident analysis, this work discusses a compositional framework for risk modelling. Risk models capture fragments of the space of risky events likely to occur…

Software Engineering · Computer Science 2025-03-21 Mario Gleirscher

This paper works through the optimization of a real world planning problem, with a combination of a generative planning tool and an influence diagram solver. The problem is taken from an existing application in the domain of oil spill…

Artificial Intelligence · Computer Science 2013-02-18 John Mark Agosta

Climate change is amplifying extreme precipitation events in many regions and imposes substantial challenges for the resilience of road drainage infrastructure. Conventional design storm methodologies, which rely on historical trends of…

Geophysics · Physics 2025-08-15 Mohammad Fereshtehpour , Rashid Bashir , Neil F. Tandon

Research capacity is critical in understanding systemic risk and informing new regulation. Banking regulation has not kept pace with all the complexities of financial innovation. The academic literature on systemic risk is rapidly…

Computational Engineering, Finance, and Science · Computer Science 2013-10-25 Antoaneta Sergueiva

System of systems engineering seeks to analyze, design and deploy collections of systems that together can flexibly address an array of complex tasks. In the Complex Adaptive System Composition and Design Environment program, we developed…

Software Engineering · Computer Science 2021-06-22 John C. Baez , John Foley

Normative non-functional requirements specify constraints that a system must observe in order to avoid violations of social, legal, ethical, empathetic, and cultural norms. As these requirements are typically defined by non-technical system…

This paper develops a design-first econometric framework for event-study and difference-in-differences estimands under staggered adoption with heterogeneous effects, emphasising (i) exact probability limits for conventional two-way fixed…

Econometrics · Economics 2026-01-28 Craig S Wright

The interaction between extreme weather events and interdependent critical infrastructure systems involves complex spatiotemporal dynamics. Multi-type emergency decisions within energy-transportation infrastructures significantly influence…

Systems and Control · Electrical Eng. & Systems 2026-03-26 Jiawei Wang , Qinglai Guo , Haotian Zhao , Bin Wang , Hongbin Sun

Complex dynamical systems rely on the correct deployment and operation of numerous components, with state-of-the-art methods relying on learning-enabled components in various stages of modeling, sensing, and control at both offline and…

Systems and Control · Electrical Eng. & Systems 2021-01-22 Weiming Xiang

In this paper we present a formal framework for analysis and optimisation of the requirements specifications of systems developed to apply in several countries. As different countries typically have different regulations/laws as well as…

Software Engineering · Computer Science 2019-10-14 Maria Spichkova , Heinz Schmidt

Hazard and impact analysis is an indispensable task during the specification and development of safety-critical technical systems, and particularly of their software-intensive control parts. There is a lack of methods supporting an…

Software Engineering · Computer Science 2015-12-10 Sonila Dobi , Mario Gleirscher , Maria Spichkova , Peter Struss

Organizations around the world face an array of risks impacting their operations globally. It is imperative to have a robust risk identification process to detect and evaluate the impact of potential risks before they materialize. Given the…

Artificial Intelligence · Computer Science 2021-09-21 Mahmoud Mahfouz , Armineh Nourbakhsh , Sameena Shah

This paper proposes risk-averse and risk-agnostic formulations to robust design in which solutions that satisfy the system requirements for a set of scenarios are pursued. These scenarios, which correspond to realizations of uncertain…

Optimization and Control · Mathematics 2025-11-07 Luis G. Crespo , Bret Stanford , Natalia Alexandrov
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