CN110263373A - Strategy game and war game deduction system based on non-structural data knowledge and self-adaptive Bayesian network - Google Patents
Strategy game and war game deduction system based on non-structural data knowledge and self-adaptive Bayesian network Download PDFInfo
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Abstract
The invention is based on a strategic game and a military chess deduction system of non-structural data knowledge and a self-adaptive Bayesian network, and is based on research originality and concept model design of the strategic game and the military chess deduction system of Bayesian network dynamic deduction plus cooperative game constraint; designing ideas and technical framework designs based on non-structural data knowledge and adaptive Bayesian network strategy games and war game deduction technologies; based on qualitative experience and a Bayesian network node prior probability estimation technology design of case samples; the invention realizes the construction of a Bayesian network model for strategic games and war chess deduction under the condition of incomplete information. The invention innovatively develops a cloud model-Bayesian network and a self-adaptive Bayesian network model, and introduces the cloud model-Bayesian network and the self-adaptive Bayesian network model into a chess deduction system. The invention innovatively develops and introduces the Bayesian network passenger right determination, structure automatic optimization, causal association backtracking and other technologies and the idea of cooperative game theory, thereby realizing strategic game dynamic simulation deduction and objective study and judgment.
Description
Technical field
The present invention relates to war game simulation fields, more particularly to based on non-structural data knowledge and adaptive Bayesian network
Strategic Games and war game simulation system.
Background technique
War game simulation is derived from German " Kriegsspiel " vocabulary, and initial stage limits to the deduction for being used in situation of battlefield, shows
Major application potentiality were later gradually applied to respectively since it has the function of tactful test, risk management, prediction scheme disposition etc.
Each industry of row.Shi Chonglin etc. [2011] combines computer Tactics-level war game simulation data own characteristic, is based on tradition DBSCAN
(density based spatial clustering of applications with noise) method proposes a kind of new
Density quick clustering algorithm, which can effectively realize the assessment to situation of battlefield in the larger situation of data scale
And directive significance；Leaf favorable to the people equal [2011] devises Tactics-level sea warfare war game simulation system, highlight in detail each sea warfare element with
The whole importance deducing target, scale, process etc. and combining, and put forward a kind of " event-triggering described by XML
Correlation model "；Kurt[2003] successfully war game simulation is transplanted among the game of market from battlefield surroundings, so as to be business
Company provides the methods for finding investment opportunity and risk resolution；Hernandez[2017] for ring crucial in war game simulation
Section --- scene is deduced and analysis has carried out effective perfect, and has carried out analogue simulation by background of Afghan battlefield, rehearsal
As a result more meet war actual conditions compared with other existing war game simulation models；Dorton et al. [2017] is then by war game simulation thought
Successful utilization establishes in knowledge extraction system to collect brainstorming, common recognition leads figure, technology is retrieved as the new system of the whole body
System.
Conventional war game simulation is mostly that can use the resources such as troops, weaponry based on game both sides, to obtain battlefield control state
Gesture offsets other side's efficiency and wins battlefield supremacy as the interactive mode of target development, the dynamic decision of confrontation type and countermeasure reply.
Its main feature is that information transparency, rule are clear, movement is symmetrical, and mostly non-cooperative game, both sides are fought by using different plans
Slightly step, the target optimizing game carried out around the targets such as situation of battlefield control and initiative contention.
Existing routine game and war game simulation have the characteristics that as follows: 1) both sides' all-out confrontation, depth conflict and war
State does not meet both sides' strategic interests；2) the strategic motivation and information source of game both sides are different, gaming information have it is asymmetric,
The characteristics such as nontransparent；3) game and information content during deduction are very big, but mostly Heuristics, qualitative principle and language description etc.
Non-quantized, unstructured data；4) game both sides are mostly driving with event, and behavioural norm has certain ambiguity and do not know
Property.In conclusion the dynamic cooperative game of Strategic Games category uncertainty, multiple target in reality.
War game simulation is developed so far, and is shown in strategic plan, campaign implementation, programme of action formulation and Military Application
Grand strategy value and application prospect.The more operation focused on tactical level of existing war game simulation system and weapon
The situation game and mutual containing of equipment, many realistic problems had both included quantized data in the battlefield surroundings such as meteorology, the hydrology, geography
Information more involves the non-structural data information of the geographical humanity such as politics, economy, military affairs, diplomacy and corresponding great realistic problem
Science modeling and objective quantification are judged, i.e., the cooperative game modeling technique of event driven non-structural data, non-determined information is
Main, most critical technical problem.
In addition to this, war game simulation system at present, there is a problem in that 1) since to lay particular emphasis on reality desirable more for system
Quantized data and determining information make inferences knowledge excavation and Game Rule is extracted, it is difficult to which objective analysis and quantification treatment are qualitative
, opposed decision-making of experience, semantic meaning representation the problems such as.How the multi-sources such as political economy, military diplomacy, geographical humanity to be determined
Sex knowledge and non-structural data objective quantification and game modeling, be also need the Scientific problems at the core that solves and key technology it
One.2) war game simulation system is usually and fights both sides to carry out game according to turn-based mode, actually influences to restrict game both sides
Factor how third-party factor may be introduced into betting model there are also third-party factor, how to merge Qualitative Knowledge and
The actually available information such as quantitative data constructs the betting model of objective, quantization, adaptive optimization, how to construct flat based on strategy
Weighing apparatus Risk Constraint man-machine interaction intelligently study and judge the betting model with dynamic optimization, be Scientific problems at the core to be solved and
Key technology.
It is substantially at the primary stage for the betting model of above-mentioned complicated case and war game simulation technology both at home and abroad at present, still
Strategic Games and war game simulation modeling technique of the non-retrieval and inquisition to feature regarding to the issue above.
Summary of the invention
In order to solve problem above, the present invention provides the strategy based on non-structural data knowledge Yu adaptive Bayesian network
Game and war game simulation system, based on Bayesian network and game theory, it then follows scientific objective, accurate quantification principle realization pair
Strategic Games and the design of war game simulation system and key technology are arranged to be formed based on non-structural data knowledge and adaptive Bayes
The Strategic Games and war game simulation system of network, for this purpose, present invention offer is based on non-structural data knowledge and adaptively
The Strategic Games and war game simulation system of Bayesian network comprising the steps of:
(A) data acquisition, from acquisition data start with, with corresponding search technique in the database magnanimity document of corresponding website root
Initial data is grabbed and captured according to target keyword；
(B) data processing realizes the quantification to target object related aspect qualitative index by cloud model；
(C) chess piece is chosen, and influences the victory or defeat of target object chess game and decision and deployment according to data type and the building of goal in research content
Tactful chess piece；
(D) network struction, the step are mainly made of Structure learning and parameter learning；
(E) reasoning and calculation, the geographic area that war game simulation is related to are mapped to entire chess game disk and carry out " gridding " processing,
When implementing to deduce, carry out " strategy choose " and determine the position for falling chess, with previous step training maturation Bayesian network into
Row probability " reasoning " is to obtain Study on Trend；
(F) game deduce: according to " the probabilistic type game " of Bayesian Network Inference, i.e., according to red in chess game take strategy and
The geography information of deployment, the victory or defeat for calculating relative strategy, the both sides confrontation that it may take influence degree, the blue party of chess game are general
Rate, these information constitute " both sides' gaming matrix ", carry out game using minimax method criterion combination constraint condition and mutually expect, pass through
Heuritic approach solves the Nash Equilibrium Solution of game to carry out chess game both sides " superiority and inferiority is studied and judged " and adjustment by Bayesian Network Inference
Obtained " probabilistic type game " numerical value；
(G) it visualizes: utilizing " space Bayes diffusion " technology to draw " situation of battlefield " in chessboard both sides' payoff, and
It establishes situation index and directly observes the chess game both sides development law which is better and which is worse, provided according to studying and judging for further trend for red
Fight the aid decision " set of strategies " of blue party.
Further improvement of the present invention, the step A search technique are web crawlers technology or data mining technology.
Further improvement of the present invention, the step A, which attaches most importance to corresponding website, wants military, political economy website or middle National IP Network.
Further improvement of the present invention, related aspect qualitative index is military or economic indicator in the step B.
Further improvement of the present invention, Structure learning is by above-mentioned " tactful chess piece " as Bayesian network in the step D
The node of network determines network structure, and combination expertise correcting principle using the causality in intelligent algorithm mining data,
Parameter learning is the study realized based on search score method to network node conditional probability distribution.
The present invention proposes a kind of novel deep neural network structure for comprehensive complicated game event, has spy below
Point:
1. the present invention is based on Bayesian network dynamic deduction+cooperative game constraint Strategic Games and war game simulation systematic researches
Intention and Conceptual Model Design；
2. the present invention is based on the designs of non-structural data knowledge and adaptive Bayesian network Strategic Games and war game simulation technology
Thought and technological frame design；
3. the present invention is based on the Bayesian network node prior probabilities of qualitative experience and case sample to estimate (cloud model-Bayes
With adaptive Bayesian network) Technology design；
4. technologies and Cooperative references such as the backtrackings of Bayesian network objective-weight of the present invention, structure Automatic Optimal, causalnexus
Middle Nash Equilibrium constrains coupling technique；
5. design style, software interface and the visual representing shape of corresponding Strategic Games and war game simulation demonstration system of the invention
Formula.
The present invention proposes a kind of novel deep neural network structure for comprehensive complicated game event, has below excellent
Point:
1. political economy existing for reality in scientific fertilisation of the present invention Strategic Games, military diplomacy, humane geographical etc. non-structural
Data, non-determined knowledge complexity element information, realize information it is incomplete under the conditions of Strategic Games and war game simulation Bayes
Network model building.
2. the present invention has innovatively developed cloud model-Bayesian network and adaptive Bayesian network model, and by its
War game simulation system is introduced, the Bayesian network node prior probability based on qualitative Heuristics and typical case sample is realized
Estimation and quantization knowledge are extracted.
3. innovation and development of the present invention and introduce Bayesian network objective-weight, structure Automatic Optimal, causalnexus backtracking etc.
The thought of technology and Cooperative Game Theory has developed water area Strategic Games and war game simulation demonstration system, and it is rich to realize strategy
Dynamic simulation deduction is played chess to study and judge with objective.
Detailed description of the invention
Fig. 1 is war game simulation overall technology information flow chart of the present invention.
Specific embodiment
Present invention is further described in detail with specific embodiment with reference to the accompanying drawing:
The present invention provides Strategic Games and war game simulation system based on non-structural data knowledge and adaptive Bayesian network, with
Based on Bayesian network and game theory, it then follows science is objective, accurate quantification principle is realized to Strategic Games and war game simulation system
The Strategic Games and war game to be formed based on non-structural data knowledge Yu adaptive Bayesian network are arranged in system design and key technology
Deduction system.
Strategic Games and war game simulation technology-based on non-structural data knowledge and adaptive Bayesian network are with reality
For Strategic Games, system basic thought and architectural framework are red-blue both sides' game+third party's contextual factor.Red indigo plant both sides are logical
Cross with the means such as military affairs, politics, economy (chess piece) respectively carry out military strength deployment, islands and reefs construction, economic diplomacy and cruise scouting,
Joint military exercise, political alignment etc. take action (chess step) with realize to the support of water area regional military, practical control, sovereignty declaration with
And strategic containment, area are dominated and the Interest demands such as alliance leader, finally reaches and strengthens it in the control of water area and dominate
Ability.Third party plays background in red blue game, influences in different scenes, different phase on the positives and negatives of red blue both sides
It is dynamic and variation.Red Lan Shuanfang and third party's behavior act (chess step) are mostly with event-driven, by introducing Bayesian network
Network model is portrayed and is deduced to be associated on event occurrence rate, network node and influence restriction mechanism.Based on red Lan Shuanfang
Bayesian network deduction result and strategic balance constraint construct the Cooperative reference of red blue confrontation.
Red indigo plant both sides deduction process is mainly with event (such as islands and reefs construction, cruise are scouted) to drive, therefore its shellfish
Prior probability estimation, network structure distribution and conditional probability and joint probability deduction of network node of this network model of leaf etc.
Problem in science and the key technology such as knowledge acquisition and the estimation of cause and effect information flow, have developed cloud model-Bayesian network and oneself respectively
The prior probably estimation method for adapting to Bayesian network realizes that the Bayesian network of qualitative Heuristics and classical case is first respectively
Test Probability estimate；Develop Bayesian network node objective-weight, network structure Automatic Optimal and Bayesian network closed loop to differentiate
With the core technologies such as causalnexus backtracking, realizes red blue party and third party and deduce the objective, quantitative of process
Specific war game simulation overall technology information flow is as shown in Figure 1；
Start with first from " acquisition data ", with the technological means such as web crawlers, data mining important military affairs, political economy website,
The keywords such as " water area situation ", " water area free running ", " water area right-safeguarding " are carried out in database magnanimity document
Inquiry, filtering, quality control, is integrally formed the various aspects such as the relevant economy of water area situation, diplomacy, military affairs, humanity at crawl
Quantification primary data.Then " the tactful chess piece " of water area situation problem is agreed with as Bayesian network according to data building
" network node " each in network simultaneously carries out " parameter learning ", combines objective optimization network knot based on data-driven and event-driven
Structure." gridding " design for carrying out game chess game on the right side of Fig. 1 first, when war game simulation, if blue party provokes incidents first, into
Row " strategy is chosen " and the determining position for falling office of scattereding all over like men on a chessboard；The Bayesian network for then using left side training mature carries out probability and " pushes away
The strategy and geography information that reason " is taken with determination " probabilistic type game ", i.e., according to blue party, calculating it may be to water area situation
Influence degree and the countermeasure that should take of red and the victory or defeat probability of both sides' confrontation, these information constitute " both sides' game
Matrix "；Thereafter game is carried out using minimax method side's criterion and combination constraint condition, passes through heuritic approach and solves game
Nash Equilibrium Solution is to carry out " probabilistic type game " numerical value that red Lan Shuanfang " superiority and inferiority is studied and judged " and adjustment Bayesian Network Inference obtain.
It finally utilizes " space Bayes diffusion " technology to draw " situation of battlefield " in chessboard both sides' payoff, and establishes situation index
Red blue both sides' development law which is better and which is worse is directly observed, provides the auxiliary of confrontation blue party according to studying and judging for further trend for red
Help decision " set of strategies ".
The above described is only a preferred embodiment of the present invention, being not the limit for making any other form to the present invention
System, and made any modification or equivalent variations according to the technical essence of the invention, still fall within present invention model claimed
It encloses.
Claims (5)
1. Strategic Games and war game simulation system based on non-structural data knowledge and adaptive Bayesian network include following step
Suddenly, it is characterised in that:
(A) data acquisition, from acquisition data start with, with corresponding search technique in the database magnanimity document of corresponding website root
Initial data is grabbed and captured according to target keyword；
(B) data processing realizes the quantification to target object related aspect qualitative index by cloud model；
(C) chess piece is chosen, and influences the victory or defeat of target object chess game and decision and deployment according to data type and the building of goal in research content
Tactful chess piece；
(D) network struction, the step are mainly made of Structure learning and parameter learning；
(E) reasoning and calculation, the geographic area that war game simulation is related to are mapped to entire chess game disk and carry out " gridding " processing,
When implementing to deduce, carry out " strategy choose " and determine the position for falling chess, with previous step training maturation Bayesian network into
Row probability " reasoning " is to obtain Study on Trend；
(F) game deduce: according to " the probabilistic type game " of Bayesian Network Inference, i.e., according to red in chess game take strategy and
The geography information of deployment, the victory or defeat for calculating relative strategy, the both sides confrontation that it may take influence degree, the blue party of chess game are general
Rate, these information constitute " both sides' gaming matrix ", carry out game using minimax method criterion combination constraint condition and mutually expect, pass through
Heuritic approach solves the Nash Equilibrium Solution of game to carry out chess game both sides " superiority and inferiority is studied and judged " and adjustment by Bayesian Network Inference
Obtained " probabilistic type game " numerical value；
(G) it visualizes: utilizing " space Bayes diffusion " technology to draw " situation of battlefield " in chessboard both sides' payoff, and
It establishes situation index and directly observes the chess game both sides development law which is better and which is worse, provided according to studying and judging for further trend for red
Fight the aid decision " set of strategies " of blue party.
2. the Strategic Games and war game according to claim 1 based on non-structural data knowledge Yu adaptive Bayesian network
Deduction system, it is characterised in that: the step A search technique is web crawlers technology or data mining technology.
3. the Strategic Games and war game according to claim 1 based on non-structural data knowledge Yu adaptive Bayesian network
Deduction system, it is characterised in that: the step A, which attaches most importance to corresponding website, wants military, political economy website or middle National IP Network.
4. the Strategic Games and war game according to claim 1 based on non-structural data knowledge Yu adaptive Bayesian network
Deduction system, it is characterised in that: related aspect qualitative index is military or economic indicator in the step B.
5. the Strategic Games and war game according to claim 1 based on non-structural data knowledge Yu adaptive Bayesian network
Deduction system, it is characterised in that: Structure learning is the section by above-mentioned " tactful chess piece " as Bayesian network in the step D
Point determines network structure using the causality in intelligent algorithm mining data, and combines expertise correcting principle, parametrics
Habit is the study realized based on search score method to network node conditional probability distribution.
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Cited By (4)
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| CN112817584A (en) * | 2021-01-29 | 2021-05-18 | 北京华如科技股份有限公司 | Script-based non-programming visual weapon chess rule design editing system |
| CN113505448A (en) * | 2021-06-09 | 2021-10-15 | 上海电力大学 | Wind turbine generator dynamic reliability evaluation method based on improved Bayesian network |
| CN113988301A (en) * | 2021-12-13 | 2022-01-28 | 中国科学院自动化研究所 | Tactical strategy generation method and device, electronic equipment and storage medium |
| CN115222199A (en) * | 2022-05-31 | 2022-10-21 | 中国电子科技集团公司第五十二研究所 | Air combat key node determination method and device based on victory ratio prediction |
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| CN112817584A (en) * | 2021-01-29 | 2021-05-18 | 北京华如科技股份有限公司 | Script-based non-programming visual weapon chess rule design editing system |
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