Analysis of a planetary gear modelled with a contour graph considering the decision making complexity of game-tree structures

Previous applications of the graph theory concerned the modeling of gears for dynamic analysis, kinematic analysis, synthesis, structural analysis, gearshift optimization and automatic design based on so-called graph grammars. Some tasks can be performed only by using methods resulting from a graph theory, e.g. enumeration of structural solutions. The contour plot method consists in distinguishing a series of consecutive rigid units of the mechanism, forming a closed loop (so-called contour). At a later stage, it is possible to analyze the obtained contour graph as a directed graph of dependence. The work presents an example of the use of game-tree structures for describing the contour graph of a planetary gear. As a result of the decomposition of the graph in the dependence on each of the vertices, game-tree structures are obtained, which allow calculate algorithmically.

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SIMILARITIES AND DIFFERENCES OF COMPLEX PARAMETRIC GAME TREES FOR INVESTIGATIONS OF DYNAMIC PROPERTIES OF MACHINE SYSTEMS

Scientific Journal of the Military University of Land Forces ◽

10.5604/01.3001.0002.3506 ◽

2012 ◽

Vol 165 (3) ◽

pp. 314-325

Author(s):

Adam DEPTUŁA ◽

Marian PARTYKA

Keyword(s):

Dynamic Properties ◽

Operational Parameters ◽

Game Tree ◽

Tree Structures ◽

Machine System ◽

Game Trees ◽

Dependence Graphs ◽

Analysis And Synthesis ◽

Similarities And Differences ◽

Machine Systems

The paper concerns the application of dependence graphs and game tree-structures for the analysis and synthesis of the dynamic properties of machine systems. Graph distributions starting from various beginning vertices are presented in this paper. In order to illustrate the acceptable subsystems of parent machine system, similarities and differences between complex parametric trees are also given. It is also possible to find the part common to all the game tree-structures and describe it over separate design or operational parameters.

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Integrated decision support system for acoustic diagnostics in the technical state of the internal combustion engine

Mechanik ◽

10.17814/mechanik.2017.7.77 ◽

2017 ◽

Vol 90 (7) ◽

pp. 574-576

Author(s):

Adam Deptuła ◽

Piotr Osiński

Keyword(s):

Internal Combustion Engine ◽

Internal Combustion Engines ◽

Combustion Engine ◽

Internal Combustion ◽

Acoustic Properties ◽

Combustion Engines ◽

Game Tree ◽

Common Rail System ◽

Tree Structures ◽

Acoustic Diagnostics

Presented are possible applications of acoustic diagnostics in inspecting the technical condition of an internal combustion engine with autoignition on the example of the Fiat drive unit with common rail system. As a result of measuring the sound pressure level for specific faults and comparing the noise generated by the motor running smoothly, the detailed maps of changes in the acoustic spectrum are possible to generate. These results may be helpful in the future diagnostics of internal combustion engines. The results of scientific work in the area of research, design and operation of internal combustion engines, conducted at the Department of Automotive Engineering, in cooperation with the Laboratory of Hydraulic Drives & Vibroacoustics of Machines at the Wroclaw University of Technology are included. It has developed an authoritative method of identifying the type of engine damage using game-tree structures. An integrated decision system for induction machine learning was developed to test and identify acoustic properties.

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Application of decision logic trees and game-tree structures in analysis of automatic transmission gearboxes

Trudy NAMI ◽

10.51187/0135-3152-2021-3-6-21 ◽

2021 ◽

pp. 6-21

Author(s):

A. Deptuła ◽

R. Kh. Kurmaev

Keyword(s):

Automatic Transmission ◽

Knowledge Generation ◽

Practical Significance ◽

Problem Statement ◽

Game Tree ◽

Tree Structures ◽

Optimal Decisions ◽

Optimal Programming ◽

Decision Logic ◽

Selection Of

Introduction (problem statement and relevance). The graphs, logic and game-tree structures methods have been used in mechanics. The purpose of modeling an automatic gearbox with graphs can be versatile, namely: determining the transmission ratio of individual gears, analyzing the speed and acceleration of individual rotating elements.The purpose of the study. The article presents the application of decision trees in the analysis of automatic gearboxes modeled with the Hsu graph.Methodology and research methods. The paper presents a method of generating game tree structures that allow to change the values of decision parameters in the issues of decision making and knowledge generation. Specifying the rank of importance, in which order you should change individual items to active, allows you to detect the so-called redundant or temporarily redundant components for a given gear currently under consideration.Scientific novelty and results. At each stage of optimization, a tree is generated, selecting the optimal decisions. Then, vertices can be added to the tree that represent the optimal responses of the system to changes in arithmetic construction parameters.Practical significance. The most important in this regard will be the selection of the optimal programming environment with the possibility of installing the program in laboratory

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APPLICATION OF COMPLEX GAME-TREE STRUCTURES FOR THE HSU GRAPH IN THE ANALYSIS OF AUTOMATIC TRANSMISSION GEARBOXES

Journal of Machine Engineering ◽

10.5604/01.3001.0012.7713 ◽

2018 ◽

Vol 18 (4) ◽

pp. 96-113

Author(s):

Adam DEPTULA ◽

Marian A. PARTYKA

Keyword(s):

Information Systems ◽

Automatic Transmission ◽

Operating Parameters ◽

Objective Functions ◽

Logic Tree ◽

Game Tree ◽

Tree Structures ◽

Algorithmic Approach ◽

Game Trees ◽

Decision Methods

In the article was discussed the possibility of structures and information systems complex game trees for the analysis of automatic gearboxes. The purpose of modelling an automatic gearbox with graphs can be versatile, namely: determining the transmission ratio of individual gears, analysing the speed and acceleration of individual rotating elements. In a further step, logic tree-decision methods can be used to analyse functional schemes of selected transmission gears. Instead, for graphs that are models of transmission, parametrically acting tree structures can be used. This allows for the generalization and extension of the algorithmic approach, furthermore in the future it will allow further analyses and syntheses, such as checking the isomorphism of the proposed solutions, determining the validity of construction and / or operating parameters of the analysed gears. The game tree structure describes a space of possible solutions in order to find optimum objective functions. There is the connection with other graphical structures which can be graphs in another sense, or even decision trees with node and/or branch coding.

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Characterizing the Nature of Probability-Based Proof Number Search: A Case Study in the Othello and Connect Four Games

Information ◽

10.3390/info11050264 ◽

2020 ◽

Vol 11 (5) ◽

pp. 264

Author(s):

Anggina Primanita ◽

Mohd Nor Akmal Khalid ◽

Hiroyuki Iida

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Search Algorithm ◽

Search Algorithms ◽

Game Tree ◽

Tree Structures ◽

Best First Search

Variants of best-first search algorithms and their expansions have continuously been introduced to solve challenging problems. The probability-based proof number search (PPNS) is a best-first search algorithm that can be used to solve positions in AND/OR game tree structures. It combines information from explored (based on winning status) and unexplored (through Monte Carlo simulation) nodes from a game tree using an indicator called the probability-based proof number (PPN). In this study, PPNS is employed to solve randomly generated positions in Connect Four and Othello, in which the results are compared with the two well-known best-first search algorithms (proof number search (PNS) and Monte Carlo proof number search). Adopting a simple improvement parameter in PPNS reduces the number of nodes that need to be explored by up to 57%. Moreover, further observation showed the varying importance of information from explored and unexplored nodes in which PPNS relies critically on the combination of such information in earlier stages of the Othello game. Discussion and insights from these findings are provided where the potential future works are briefly described.

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Application of decision–making parametric structures in the analysis of a compound planetary gear

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/710/1/012004 ◽

2019 ◽

Vol 710 ◽

pp. 012004

Author(s):

A Deptula ◽

J Drewniak ◽

W Macek

Keyword(s):

Decision Making ◽

Planetary Gear

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Discarding optimality: Throwing out the baby with the bathwater?

Behavioral and Brain Sciences ◽

10.1017/s0140525x18001401 ◽

2018 ◽

Vol 41 ◽

Cited By ~ 1

Author(s):

Patrick Simen ◽

Fuat Balcı

Keyword(s):

Decision Making ◽

Perceptual Decision Making ◽

Reward Rate ◽

Perceptual Decision ◽

Standard Observer ◽

Rate Maximization ◽

Reward Rate Maximization ◽

Descriptive Standard ◽

Observer Model

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.

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LPCD framework: Analytical tool or psychological model?

Behavioral and Brain Sciences ◽

10.1017/s0140525x18001383 ◽

2018 ◽

Vol 41 ◽

Author(s):

David Danks

Keyword(s):

Decision Making ◽

Analytical Tool ◽

Mathematical Framework ◽

Bayesian Decision ◽

Perceptual Decision Making ◽

Psychological Model ◽

Psychological Reality ◽

Psychological Theories ◽

Target Article ◽

Bayesian Decision Making

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.

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Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

Behavioral and Brain Sciences ◽

10.1017/s0140525x18000274 ◽

2018 ◽

Vol 41 ◽

Author(s):

Kevin Arceneaux

Keyword(s):

Decision Making ◽

Individual Differences ◽

Cognitive Processes ◽

Evolutionary History ◽

Behavioral Responses ◽

History Of ◽

Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

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