Abstract Forgetting – or variable elimination is an operation that allows the removal, from a knowledge base, of middle variables no longer deemed relevant. In recent years, many different approaches for forgetting in Answer Set Programming have been proposed, form specific operators, classes such commonly following principles and obeying properties. Each approach was developed to address some ...

Representing (and reasoning about) preference relations over combinatorial domains is computationally expensive. We argue that for many problems involving such preferences, it is relevant to simplify them by projecting them on a subset of variables. We investigate several possible definitions, focusing without loss of generality on propositional (binary) variables. We then define the notion of ...

Viscous Flow Features (VFF) are widespread in the martian mid-latitudes and indicative of near-surface ice deposits. Their distribution morphology hint at regional history deposition ablation, as well changes surface temperature. Here we interrogate deformation a type VFF, Lobate Debris Apron (LDA), located eastern Hellas region, from its morphology, discussing implications it poses for interna...

This work presents a novel technique which is simple yet effective in estimating electric model parameters and state-of-charge (SOC) of the LiFePO4 battery. Unlike the well-known recursive least-squares-based algorithms with single constant forgetting factor, this technique employs multiple adaptive forgetting factors to provide the capability to capture the different dynamics of model paramete...

In this paper we present two advanced methods for evolutionary optimisation. One method is based on Parallel Genetic Algorithms. It is called Co-operating Populations with Different Evolution Behaviours (CoPDEB), and allows each population to exhibit a different evolution behaviour. Results from two problems show the advantage of using different evolution behaviour on each population. The other...

Are associative memories forgotten more quickly than item memories, and does the level of original learning differentially influence forgetting rates? In this study, we addressed these questions by having participants learn single words and word pairs once (Experiment 1), three times (Experiment 2), and six times (Experiment 3) in a massed learning (ML) or a distributed learning (DL) mode. Then...

BACKGROUND Whether perceived changes in memory parallel changes in brain pathology is uncertain. Positron emission tomography (PET) scans using 2-(1-{6-[(2-[F-18]fluoroethyl)(methyl)amino]-2-naphthyl}ethylidene)malononitrile (FDDNP) can measure levels of amyloid plaques and tau neurofibrillary tangles in vivo. Here we investigate whether degree of self-reported memory impairment is associated w...

State space models (SSMs) are important for multi-variable performance analysis and controller design of aero-engines. In order to solve the problems traditional state modeling methods that rely on component-level (CLMs) cannot be carried out in real time, an aero-engine method based adaptive forgetting factor online sequential extreme learning machine (AFOS-ELM) is proposed this paper. The str...