In constraint satisfaction, decomposition is a common technique to split a problem in a number of parts in such a way that the global solution can be efficiently assembled from the solutions of the parts. In this paper, we study the decomposition problem from an autonomous agent perspective. Here, a constraint problem has to be solved by different agents each controlling a disjoint set of varia...

* Dual targeting of proteins to more than one subcellular localization has been found in animals, in fungi and in plants. In the latter, ambiguous N-terminal targeting signals have been described that result in the protein being located in both mitochondria and plastids. We have developed ambiguous targeting predictor (ATP), a machine-learning implementation that classifies such ambiguous targe...

This paper explores mine waste that originates from resource extraction by specifically focusing on rock, tailings, dust and material culture the industry. By drawing examples fieldwork, archives, local media commentary limited interviews two iron-mining regions in Arctic Norway sub-Arctic Canada, this follows as it routinely transgresses attempts to be managed. Mine spills out of its prescribe...

Artificial agents are often trained to perform non-Markovian tasks, i.e., tasks in which the sensory inputs can be ambiguous. Agents typically learn how to perform such tasks using either reinforcement learning (RL) or evolutionary learning (EL). In this paper, we empirically demonstrate that these learning methods result in different levels of performance when applied to a non-Markovian task: ...

Artikkelissa selvitetään, miten tietäjä-hahmot esitetään 1800-luvun lopulla ja 1900-luvun alussa ruotsinkieliseltä Pohjanmaalta kerätyssä folkloristisessa aineistossa. Aineistoa lähestytään kvalitatiivisen tekstianalyysin kautta. Esitän, että pohjanmaalaiset ruotsinkieliset uskomustarinat tietäjistä pohjautuvat vakiintuneisiin vernakulaareihin uskomuksiin, jotka ovat samankaltaisia länsieuroopp...