In this paper, an expert system that performs route planning using dynamic traffic data is introduced. Also an algorithmic approach is introduced to find the shortest path in a three-dimensional. Using both implementations, a comparison is made between the expert system approach and the algorithmic approach. It is concluded that the expert system shows great potential. The expert system indeed finds the best routes, and it outperforms the algorithm approach in computation time, too.
The contribution focuses on the design of a control algorithm aimed at the operative control of runoff water from a reservoir during flood situations. Management is based on the stochastically specified forecast of water inflow into the reservoir. From a mathematical perspective, the solved task presents the control of a dynamic system whose predicted hydrological input (water inflow) is characterised by significant uncertainty. The algorithm uses a combination of simulation model data, in which the position of the bottom outlets is sought via nonlinear optimisation methods, and artificial intelligence methods (adaptation and fuzzy model). The task is written in the technical computing language MATLAB using the Fuzzy Logic Toolbox.
Abstract: By action model, we understand any logic-based representation of effects and executability preconditions of individual actions within a certain domain. In the context of artificial intelligence, such models are necessary for planning and goal-oriented automated behaviour. Currently, action models are commonly hand-written by domain experts in advance. However, since this process is often difficult, time-consuming, and error-prone, it makes sense to let agents learn the effects and conditions of actions from their own observations. Even though the research in the area of action learning, as a certain kind of inductive reasoning, is relatively young, there already exist several distinctive action learning methods. We will try to identify the collection of the most important properties of these methods, or challenges that they are trying to overcome, and briefly outline their impact on practical applications., Abstrakt: Podle akčního modelu chápeme logickou reprezentaci efektů a předpokladů vykonatelnosti jednotlivých akcí v rámci určité domény. V kontextu umělé inteligence jsou tyto modely nezbytné pro plánování a cílené automatizované chování. V současné době jsou akční modely běžně ručně psány odborníky domény předem. Vzhledem k tomu, že tento proces je často obtížný, časově náročný a náchylný k chybám, má smysl nechat agenty seznámit se s účinky a podmínkami akcí z vlastních pozorování. I když je výzkum v oblasti akčního učení, jako určitý druh indukčního uvažování, relativně mladý, existuje již několik výrazných metod učení. Pokusíme se identifikovat sbírku nejdůležitějších vlastností těchto metod., and Michal Čertický
The design and evaluation of algorithms for adaptive stochastic control of the reservoir function of a water reservoir using an artificial intelligence method (learned fuzzy model) are described in this article. This procedure was tested on the Vranov reservoir (Czech Republic). Stochastic model results were compared with the results of deterministic management obtained using the method of classical optimisation (differential evolution). The models used for controlling of reservoir outflow used single quantile from flow duration curve values or combinations of quantile values from flow duration curve for determination of controlled outflow. Both methods were also tested on forecast data from real series (100% forecast). Finally, the results of the dispatcher graph, adaptive deterministic control and adaptive stochastic control were compared. Achieved results of adaptive stochastic management were better than results provided by dispatcher graph and provide inspiration for continuing research in the field.
This article presents the problem of improving the classifier of handwritten letters from historical alphabets, using letter classification algorithms and transliterating them to Latin. We apply it on Palmyrene alphabet, which is a complex alphabet with letters, some of which are very similar to each other. We created a mobile application for Palmyrene alphabet that is able to transliterate hand-written letters or letters that are given as photograph images. At first, the core of the application was based on MobileNet, but the classification results were not suitable enough. In this article, we suggest an improved, better performing convolutional neural network architecture for hand-written letter classifier used in our mobile application. Our suggested new convolutional neural network architecture shows an improvement in accuracy from 0.6893 to 0.9821 by 142% for hand-written model in comparison with the original MobileNet. Future plans are to improve the photographic model as well.
After a brief discussion of Creative reasoning modelling significance
for transportation reliability modelling this páper continues by a discussion of-the known applicable techniques of creativity modelling. Because tlie most significant one seems to be analogical and associative reasoning, a unified model of analogical and associative reasoning is presented. Dne to its real-time capabilities, the model enables to model reasoning under the condition of a processing capacity limitation (and concluding the increase of producing mistaking reactions).
Analyses based on precipitation data may be limited by the quality of the data, the size of the available historical series and the efficiency of the adopted methodologies; these factors are especially limiting when conducting analyses at the daily scale. Thus, methodologies are sought to overcome these barriers. The objective of this work is to develop a hybrid model through the maximum overlap discrete wavelet transform (MODWT) to estimate daily rainfall in homogeneous regions of the Tocantins-Araguaia Hydrographic Region (TAHR) in the Amazon (Brazil). Data series from the Climate Prediction Center morphing (CMORPH) satellite products and rainfall data from the National Water Agency (ANA) were divided into seasonal periods (dry and rainy), which were adopted to train the model and for model forecasting. The results show that the hybrid model had a good performance when forecasting daily rainfall using both databases, indicated by the Nash–Sutcliffe efficiency coefficients (0.81–0.95), thus, the hybrid model is considered to be potentially useful for modelling daily rainfall.
One of the problems during a great disaster is the breakdown of communication infra structure. One of the solutions is the use of mobile ad-hoc networks (MANET). In this paper, we consider the situation in a building after a big fire, explosion or earthquake. Rescue workers equipped with PDAs, which are wireless connected, explore the dynamically changing world. Each individual builds up a local world map based on their local exploration and observation. The local maps are fused via the MANET structure and provide an up to date map of the dynamically changing world. Such maps can be used for mitigation, escape or rescue work.
In the future, speech unquestionably will become the primary means of communication between humans and machines. New applications of artificial neural networks are capable of recognizing human speech and analyze the meaning of the recognized text. The condition of the effectiveness of two-way human-machine voice communication is to apply the mechanisms of command verification and correctness. In this paper there is a review of the selected issues on recognition and safety estimations of voice commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator‘s words and commands using neural networks made of a few layers of neurons. There is also an intelligent system of two-way voice communication between the technological device and the operator presented, which consists of the intelligent mechanism of operator identification, word and command recognition, command syntax and result analysis, command safety assessment, technological process supervision as well as operator reaction assessment. The paper presents research results of speech recognition and automatic command recognition as well as command safety estimation with artificial neural networks. and Obsahuje seznam literatury
Tato diskusní studie se věnuje ontologickým a etickým otázkám, jež se objevily v knize Myšlení a tvorba Egona Bondyho, jejímž editorem je Petr Kužel. Jedná se o první monografií věnovanou dílu tohoto originálního myslitele. V úvodní části se zabývám důvody, které vedly k dosavadnímu opomíjení Bondyho díla ze strany interpretů filosofie. V druhé části shrnuji axiologické a logické argumenty předložené autory ontologického oddílu knihy, které mají dokázat, že Bondyho opuštění kategorie substance bylo oprávněné. Pak se zabývám dvěma možnými námitkami proti axiologickému zdůvodnění nesubstanční ontologie a námitkou proti jejímu zdůvodnění logickému. Ve všech částech studie nicméně ukazuji, že Bondy předjímal řadu zásadních témat současné ontologie a teorie umělé inteligence, které se objevují např. v díle Slavoje Žižka nebo Nicka Bostroma. V závěru formuluji několik témat, na něž by se podle mého názoru mělo zaměřit další bondyovské bádání., This discussion study addresses the ontological and ethical questions that can be found in Myšlení a tvorba Egona Bondyho (The Thought and Creative Work of Egon Bondy), edited by Petr Kužel. This is the first monograph dedicated to the work of this original thinker. In the introductory part, I deal with the reasons that led to Bondy’s work being neglected up to this point in time by those who interpret philosophy. In the second part, I summarize the axiological and logical arguments put forward by the authors of the section of the book concerned with ontology, which should show that Bondy’s abandonment of the category of substance was justified. Then I explore two possible objections to the axiological justification of a non-substantial ontology and an objection to its logical justification. Nonetheless, in all parts of the study I show that Bondy anticipated a number of the principal themes of contemporary ontology and the theory of artificial intelligence, which have figured, for example, in the work of Slavoj Žižek or Nick Bostrom. In the closing part, I formulate some topics that, I believe, further research on Bondy should focus on., and Cette étude à l’diskussion se consacre aux questions ontologiques et éthiques que l’on peut découvrir dans le livre Myšlení a tvorba Egona Bondyho (La pensée et l’oeuvre de Egon Bondy) édité par Petr Kužel. Il s’agit de la première monographie consacrée à l’l’oeuvre de ce penseur originel. Je m’occupe dans l’introduction des raisons qui ont initié les interprètes de la philosophie à négliger son oeuvre. Je récapitule dans la seconde partie les arguments axiologiques et logiques présentés par les auteurs de la section ontologique du livre qui devraient prouver la justesse de l’abandon par Bondy de la catégorie de substance. Je m’occupe ensuite par des objections possibles contre la preuve axiologique de l’ontologie non substantielle et par l’objection contre sa preuve logique. Je démontre dans toutes les parties de mon étude que Egon Bondy anticipait un nombre considérable de sujets principaux de l’ontologie contemporaine ainsi que de la théorie de l’intelligence artificielle que l’on peut trouver dans les ouvrages de Slavoj Žižek ou Nick Bostrom par exemple. Je formule dans la fin plusieurs thèmes sur lesquels devrait se concentrer en avenir selon mon opinion la recherche s’occupant de l’oeuvre de Egon Bondy.