Search results for "Making"

Convergent Loss of Chemoreceptors across Independent Origins of Slave-Making in Ants

2022

The evolution of an obligate parasitic lifestyle often leads to the reduction of morphological and physiological traits, which may be accompanied by loss of genes and functions. Slave-maker ants are social parasites that exploit the work force of closely related ant species for social behaviours such as brood care and foraging. Recent divergence between these social parasites and their hosts enables comparative studies of gene family evolution. We sequenced the genomes of eight ant species, representing three independent origins of ant slavery. During the evolution of eusociality, chemoreceptor genes multiplied due to the importance of chemical communication in societies. We investigated ev…

Industry 4.0 Intelligence under Attack : From Cognitive Hack to Data Poisoning

2018

Artificial intelligence is an unavoidable asset of Industry 4.0. Artificial actors participate in real-time decision-making and problem solving in various industrial processes, including planning, production, and management. Their efficiency, as well as intelligent and autonomous behavior is highly dependent on the ability to learn from examples, which creates new vulnerabilities exploited by security threats. Today's disruptive attacks of hackers go beyond system's infrastructures targeting not only hard-coded software or hardware, but foremost data and trained decision models, in order to approach system's intelligence and compromise its work. This paper intends to reveal security threats…

Barriers to Data-Driven Decision-Making Among Online Retailers

2022

This study investigates the barriers to data-driven decision-making among online retailers. The study seeks to deepen the previous knowledge by considering data-driven decision-making as a process and identifying the critical obstacles within its different (6) stages. Qualitative interview data (N=10) collected from Finnish e-commerce professionals are analyzed. The findings show that barriers to data-driven decision-making occur at all stages during the decision-making process. The barriers are mostly related to the employees’ and the management’s expertise in collecting, organizing, analyzing, summarizing, synthesizing, and prioritizing data. In addition, attitudinal, technical, and strat…

A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

2017

A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed

Datapackage for national high-resolution conservation prioritisation of boreal forests

2023

This data package concerns the following work: Ninni Mikkonen, Niko Leikola, Joona Lehtomäki, Panu Halme, Atte Moilanen, National high-resolution conservation prioritisation of boreal forests, Forest Ecology and Management, Volume 541, 2023, 121079 ISSN 0378-1127 https://doi.org/10.1016/j.foreco.2023.121079 The overall objective of the work was to develop spatial prioritizations that can assist the forest conservation programme METSO (The Finnish Government 2008; 2014) to make well-informed decisions about acquisition of forests for protection. The results are also aimed to be useful for other actors interested in forest conservation or biodiversity friendly forest management. We focused th…

Public Choices and Decision-making Processes: A Case Study on Sustainable Mobility

2017

The definition of a decision process, which implies the capacity to implement and realize an action involving all the actors interested, is crucial not only for taking adequate political decisions but even mainly for getting a democratic control of the decisions themselves. From a strategic planning point of view, decision process on public issues should be essentially considered as a process of participation, which involves political decision-makers as well as all the administrative organizations which have to realize the decisions taken and citizens and more generally all the stakeholders who will be impacted in a positive or negative way by such decisions. If this is the case, important …

Maximizers perceive time differently than satisficers

2011

I Processi Decisionali. Paradossi, Sfide e Supporti

2007

Perceived usefulness of business intelligence system in decision making process

2017

Liiketoimintatiedon järjestelmät ovat kasvattaneet suosiotaan. Tämän tutkielman tavoitteena on selvittää edesauttavatko nämä järjestelmät päätöksentekoprosessia. Tutkielmassa esitellään päätöksenteon tukijärjestelmien synty, historia ja tällaisten järjestelmien erilaiset tavoitteet. Järjestelmien teknologiset taustat ja päätöksentekoprosessi esitellään. Tutkielman aineisto on kerätty elektronisella kyselylomakkeella eri organisaatioiden työntekijöiltä. Kyselylomake koostui seitsemästä taustakysymyksestä ja 24 väittämästä mitaten kahdeksaa eri muuttujaa. Muuttujat käsittävät yleisiä tietojärjestelmiä, liiketoimintatiedon järjestelmiä sekä päätöksentekoprosessia. Aineiston data on analysoitu …

Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture

2020

In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…