People use fish to meet their needs. Fish utilization and economic activities in the neritic tuna’s fishery system at Pasongsongan were an effort achieve social welfare. However, uncertainty surrounding caused a risk fishermen's income stability. Those are conducted this research identify elements of social-ecological tuna fisheries assess based on daily prices. Identification followed framewor...

In this work, we propose an hybrid multi-objective optimization design procedure for PI controller tuning. This procedure focuses on reliability-based optimization instances, where Montecarlo methods are used to evaluate quantitatively the performance degradation of a controller, due to unexpected or unmodeled dynamics. The procedure is evaluated on a non-linear Peltier process. The presented r...

We present efficient techniques for computing near optimal strategies for a class of stochastic commodity trading problems modeled as Markov decision processes (MDPs). The process has a continuous state space and a large action space and cannot be solved efficiently by standard dynamic programming methods. We exploit structural properties of the process, and combine it with MonteCarlo estimatio...

Integrated Deterministic and Probabilistic Dependability Analysis (IDPDA) is respectively required for safety properties verification and reliability & availability assessment of critical systems. This paper presents an approach towards IDPDA using Coloured Petri Nets (CPN). Contributions are related to: (a) hierarchical modelling guidelines that cover deterministic and probabilistic features o...

A general mechanism is proposed by which small intrinsic fluctuations in a system far from equilibrium can result in nearly deterministic dynamical behaviors which are markedly distinct from those realized in the meanfield limit. The mechanism is demonstrated for the kinetic MonteCarlo version of the Schnakenberg reaction where we identified a scaling limit in which the global deterministic bif...

We study a scalar dark matter (DM) model with two DM species coupled to the Standard Model (SM) particles via sub-GeV photon. In this model, we find that conversion occurs through photon and it plays fundamental role in setting observed relic abundance. Furthermore, candidates can be produced at fixed-target experiments la Beam- Dump. Detailed predictions for signal backgrounds are obtained hel...

Back in 1950, Shannon introduced planning in board games like Chess as a selective approach, where the main idea is to select specific branches of the game tree that satisfy certain conditions. He contrasted this approach with brute force Minimax-like methods, based on an exhaustive search of the game tree, that aims to select the best path inside a given search horizon. Historically, the brute...

The distribution of light in the canopy is a major factor regulating the growth and development of a plant. The main variables of interest are the amount of photosynthetically active radiation (PAR) reachingdifferent elements of the plant canopy, and the quality (spectral composition) of light reaching these elements. A light environment model based onMonte Carlo (MC) path tracing of photons, c...

This paper introduces a Monte-Carlo algorithm for online planning in large POMDPs. The algorithm combines a Monte-Carlo update of the agent’s belief state with a Monte-Carlo tree search from the current belief state. The new algorithm, POMCP, has two important properties. First, MonteCarlo sampling is used to break the curse of dimensionality both during belief state updates and during planning...