175 results about "Game strategy" patented technology

The present invention is directed to a playing card dispensing shoe apparatus, system and method wherein the shoe has a card scanner which scans the indicia on a playing card as the card moves along and out of a chute of the shoe by operation of the dealer. The scanner comprises an optical-sensor used in combination with a neural network which is trained using error back-propagation to recognize the card suits and card values of the playing cards as they are moved past the scanner. The scanning process in combination with a central processing unit (CPU) determines the progress of the play of the game and, by identifying card counting systems or basic playing strategies in use by the players of the game, provides means to limit or prevent casino losses and calculate the Theoretical Win of the casino, thus also providing an accurate quality method of the amount of comps to be given a particular player. The shoe is also provided with additional devices which make it simple and easy to access, record and display other data relevant to the play of the game. These include means for acconunodating a "customer-tracking card" which reads each player's account information from a magnetic stripe on the card, thus providing access to the player's customer data file stored on the casino's computer system, and one or more alpha-numeric keyboards and LCD displays used to enter and retrieve player and game information. Also included are keyboards on the game table so that each player can individually select various playing or wagering options using their own keyboard.

An apparatus for adjusting difficulty level of a game, includes: an artificial intelligence unit for storing artificial intelligence algorithms; a strategy toolkit for generating metadata for game resources and creating game strategies by applying the artificial intelligence algorithms using the metadata; and a simulation toolkit for calculating relative difficulty levels of the game strategies and combinations of the game strategies and applying to the game one of the game strategies and the combinations of the game strategies based on a user's skill level determined during the game.

The invention relates to a dynamic game method for multi-unmanned aerial vehicle air battle under uncertain information and belongs to the technical field of aircraft testing and unmanned aerial vehicles. The method comprises the steps of building an unmanned aerial vehicle air battle dynamic game strategy set; building payoff functions of unmanned aerial vehicles of both sides; performing state transition between the functions; calculating a dynamic game Nash equilibrium under interval information; building a system interface and giving a dynamic game combat strategy for multi-unmanned aerial vehicle air battle under uncertain information. The incomplete information dynamic game model method for multi-unmanned aerial vehicle combat can contribute to the development of unmanned combat aerial vehicles of China; being applied to a multi-unmanned aerial vehicle combat platform, the game theory has high theoretical value and practical importance for improvement of ability to survival and combat effectiveness.

Implementations of various systems and methods for using a social network, a game engine network and a network to provide users of the networks the ability to integrate their everyday personal and business transactions with charity projects and people globally. Users of the methods on the network will use a reality based game strategy and structure through the use of reality, augmented reality and mixed reality technologies to integrate and link their everyday tasks of personal and business transactions to charity network projects and users in an invention that formerly did not exist. Implementations of methods described herein will link people who need help with those who transact or participate on the system in everyday business transactions. Implementations of methods for users will then have a scrapbook of how their everyday common tasks and transactions added up in a record that truly changed the world and influenced people towards social good.

The invention discloses a virtual power plant optimization scheduling method based on a master-slave game strategy. The method comprises the following steps: 1, analyzing and constructing a virtual power plant model containing multiple load types; 2, establishing a virtual power plant transaction model based on an existing power market transaction mechanism; 3, establishing a risk cost model considering uncertain factors; 4, carrying out optimal scheduling on the virtual power plant by adopting a master-slave game strategy; And 5, solving the optimized scheduling model through a reinforcementlearning algorithm. According to the method, the volatility of distributed energy output in the virtual power plant and the uncertainty of load prediction are considered, an economic dispatching modelof the virtual power plant in the power market is constructed, and a master-slave game strategy and a reinforcement learning algorithm are adopted for optimization solution, so that the purposes of improving the production benefits of the virtual power plant and reducing the load power purchase cost are achieved.

The invention discloses a method and a system for detecting network security. The method comprises the following steps: 1) according to the initial state of equipment in a network, connection relationships among different pieces of equipment and the vulnerability information of the equipment, generating an attack graph comprising an attack node and a state node; 2) by aiming at a set target node, converting the attack graph into a stochastic Petri net model; 3) introducing the strategy and utility information of an attack behavior on the stochastic Petri net model, generating the stochastic game net model of an attack visual angle, and introducing the strategy and utility information of a defensive behavior on the stochastic Petri net model to generate the stochastic game net model of a defensive visual angle; 4) combining the stochastic game net model of the attack visual angle with the stochastic game net model of the defensive visual angle to generate an attack-defense game strategy model; and 5) detecting network security by the attack-defense game strategy model. According to the method and the system, the accuracy for detecting the network security can be improved.

Electronic games of chance are growing increasingly more complex, with each successive generation of games adding a wealth of new features and bonus schemes to enhance the player's gaming experience. Created in part to help players better enjoy this new, more complex brand of gaming, the present Gaming Sidekick may include an animated onscreen character who is able to help the player navigate his or her way through game play and to provide a number of exciting services that have never before been offered within a game of chance. The Gaming Sidekick may serve as a friend and ally to the player by providing tips on basic game strategy as well as gifts and encouragement. Gaming Sidekicks may be fully customizable, giving the player the capability to shape the image and behavior of his or her Gaming Sidekick or to use no Gaming Sidekick at all. Gaming Sidekicks may function across a whole suite of games, with a player's Gaming Sidekick preferences stored on his or her player loyalty card or other player identification device, mechanism or method.

A method for performing an online multilevel tournament duel game between players. The method includes the step of checking whether a player has bought a preset function, wherein the preset function enables the player to preset a plurality of game policies into a network game server and enter the duel game with the plurality of game policies. If yes, an account of the player logins the duel game automatically. Then, it is checked if an opponent player is available on a lowest game level. If with the preset function, one of three duel symbols is automatically selected with one of the plurality of game policies within the preset timeframe. The method further includes the step of comparing the selected duel symbols of the players when the preset timeframe has passed to determine a duel match winner.

An electric vehicle rapid charging demand scheduling method based on load space transfer comprises the steps of dynamically selecting a path of an urban road network and sequentially establishing a road section dynamic travel time model and a dynamic path selection model; establishing a charging navigation scheme considering the congestion degree of the charging station, wherein a user charging navigation model, a charging station group service capability optimization model and a charging selection model considering vehicle decision dynamic evolution are sequentially established; and establishing an ordered rapid charging strategy based on the interaction between the charging station and the electric vehicle, including formulating the cost of the charging station and establishing a master-slave game model of the charging station and the electric vehicle. Factors such as interaction influence of multi-vehicle charging selection and non-uniform facility utilization rate of the urban fastcharging station are considered in the electric vehicle fast charging demand scheduling process; the interactive influence of charging station selection and path selection between vehicles and the interactive game strategy between stations and vehicles are fully considered, and a more scientific and effective scheduling scheme can be provided for quick charging of electric vehicles.

The invention discloses an unmanned combat aerial vehicle maneuvering gaming method with intuition fuzzy information. The method comprises steps of firstly, establishing a strategy set of an unmannedcombat aerial vehicle maneuvering decision; then, carrying out multi-attribute intuition fuzzy estimation on selectable maneuvering strategies according to the threatening size so as to obtain an intuition fuzzy payment matrix of unmanned combat aerial vehicle maneuvering gaming; establishing a unmanned combat aerial vehicle maneuvering gaming planning mode with intuition fuzzy information under an undetermined environment; and finally, using an improved differential evolution algorithm, solving the mode so as to obtain the optimal maneuvering gaming strategy of the unmanned aerial vehicle under the undetermined environment. According to the invention, the optimal decision problem of the unmanned combat aerial vehicle maneuvering under the undetermined environment is mainly solved.

The invention provides a node cooperation motivational method of a wireless heterogeneous network on the basis of a non-cooperative game. According to the method, in terms of selfishness of nodes in a honeycomb ad-hoc heterogeneous fusion network, a utility model for a node game is built, three game factors including a participant, a game strategy and a utility function are comprehensively taken into consideration, and a node cooperation motivational mechanism based on the non-cooperative game is put forward. By means of mathematics deduction, existence of Nash equilibrium of the non-cooperative game is proved, and a theoretic optimal solution of the optimization model can be obtained. The node cooperation motivational method of the heterogeneous network is simple and easy to achieve, and has good application prospects.

The invention discloses a distributed positioning device and a distributed positioning method based on a game method in a wireless sensor network and belongs to the technical field of wireless sensor positioning. The distributed positioning device comprises a node state acquiring device, a measuring distance calculator, a neighbour node set establisher, an anchor node information filter, a position strategy space generator, a node position calculator, a threshold value setter, a comparator, a node converter and a node state broadcaster. According to the distributed positioning device and the distributed positioning method disclosed by the invention, only the communication and the negotiation with neighbour nodes are needed in the positioning process, so that the load overhead for positioning can be greatly reduced and energy consumption of the positioning process is reduced. Furthermore, a game strategy space is determined by negotiating with anchor neighbour nodes before the game starts; accurate positioning conditions are determined by using continuous accurate positioning times, and thus rapid convergence of a positioning algorithm can be accelerated; the accurate positions of sensor nodes can be quickly and effectively positioned, a good performance is also realized in high-density and few-node deployed environments and a better expansibility is obtained.

A simulation game system and a Geographical Information System (GIS) are associated to provide realistic game backgrounds in real-time. The game background generating process includes performing overlay computing on vector layer data, grid layer data and background objects to create more realistic game backgrounds. Geographical information provided by the Geographical Information System assist the player in deciding the adequate game strategies to be adopted.

The invention discloses a novel full-view fault recovery game method which comprises the following steps of 1) inputting an initial parameter, 2) establishing a game model, 3) generating an initial game strategy space, 4) computing a local optimal strategy of a gamer i, 5) computing a local optimal strategy space, 6) performing convergence inspection, and 7) outputting a result. The method achieves fault recovery of an intelligent power distribution network comprising a dynamic load and a microsource parameter by introducing a theory of a game theory.

The invention provides a game strategy optimization method, a game strategy optimization system and a storage medium. The game strategy optimization method comprises a step of establishing a strategygradient algorithm based on maximum entropy and a step of solving a multi-agent optimal reaction strategy. The method has the beneficial effects that a centralized training and decentralized executionmode is adopted, the accuracy of an action valuation network is improved, Meanwhile, global baseline rewards are introduced to more accurately measure the action income of an intelligent agent, so that the problem of credit allocation in a human game is solved. Meanwhile, a maximum entropy method is introduced for strategy evaluation, and exploration and utilization in the strategy optimization process are balanced.

The embodiment of the invention provides a game strategy interaction method and device. The method comprises the steps of obtaining current strategy information of a game, according to the current strategy information, determining the game strategy information of all virtual objects in a target game team, and sending the game strategy information of each virtual object to a terminal for controlling the virtual object. The purpose of uniformly setting a game theory is achieved. Besides, the game strategy information of all the virtual objects is obtained in a targeted mode. Then, the game strategy information is sent to corresponding players, and therefore when having inconvenience in communicating, the players can also fight in a uniform strategy, and users' experience is improved.

The invention belongs to the technical field of network security and particularly relates to a network optimal defense strategy selection method and device based on a bounded rational game theory. Themethod comprises the following steps: constructing an offensive and defensive game model in a bounded rational situation according to the bounded rationality of the actual offensive and defensive sides; a random optimal reaction dynamic differential equation of a participant selection strategy is established by setting a participant rationality degree parameter in combination with an offensive and defensive game strategy set and according to historical data; the two simultaneous offensive and defensive parties are treated as the random optimal reaction dynamic differential equation of the participant; and an optimal defense strategy is determined and output by solving and screening a stable equilibrium point. Compared with the method of only giving an equilibrium solution and not analyzing the Nash equilibrium formation process, the network optimal defense strategy selection method and device based on bounded rational game theory in the present invention analyze the dynamic evolutionprocess of the bounded rational evolution game equilibrium, and the utility and the guiding significance are stronger when being applied to network defense decision; the dynamic analysis efficiency ofstrategy selection can be improved; and the network security performance is further improved.

A system for providing a method of entertainment to players of competitive card games using:a) a source of randomized physical or virtual playing cards;b) a processor having knowledge or no knowledge of card rank and suit order in the randomized playing cards;c) the processor containing memory of game strategy for the competitive card games;d) a mechanical or electromechanical card moving system for providing randomized playing cards to a player position and a dealer position;e) a player input for providing wagers in the competitive card games;f) the processor configured to exercise code to perform wagering events in the competitive card game based upon knowledge of card rank and suit order in the randomized playing cards and performance of the stored game strategy; andg) the processor resolving wagers made in the competitive card games at conclusion of rounds of play in the competitive card games.

The invention relates to a strategy generation method under non-complete information gaming. The method comprises following specific steps: the opponent behavior modeling step that, before gaming is performed, according to a specific rule of the gaming, modeling for each behavior of an opponent is performed; the behavior collection and information prediction step that, in the gaming process, information of each action of the opponent is recorded, and the information is converted into probability distribution of opponent information through a model; the win rate calculation step which is performed according to a prediction and that, according to the probability distribution, a simulation is performed through a monte carlo method to obtain an own win rate; and the step that an expect benefit of each behavior is calculated according to the win rate finally, and the haviro having the highest expect benefit is selected to be taken as a final decision. A new thought is provided for the non-complete information gaming, the method has the advantages of clear logic, simple implementation and accurate calculations of the opponent information and the win rate, the decision-making capability in specific situation can be improved, a decision benefit is maximized, and then industrial production efficiency is improved.

The invention discloses a competition game-based cooperative wind power ramp control system and a competition game-based cooperative wind power ramp control method. By coordinatively controlling a wind farm cluster, wind farms and wind-driven generators, a central grid control station ensures that the output of the wind farms or the wind farm cluster can operate according to a given output curve or change rule, so that the ramp characteristic of wind power is improved and the connection of wind power with a grid is more friendly; according to the operating state of each wind farm, the central grid control station dynamically divides combined power generation unit substations, assigns subordinate wind farms, and issues a planned output curve to the combined power generation units; according to the actual output conditions of the wind farms and the planned output curve, the combined power generation units work out power adjustment magnitudes of the combined power generation units, and each wind farm controls the substations to compete for the power adjustment, so that respective benefits are maximized; and the wind farms control the substations to adopt different game strategies to compete to obtain total power adjustment magnitude of the combined power generation units, so that respective benefits are maximized.

A system that incorporates the subject disclosure may include, for example, a processor to perform operations including detecting biometric data of a first gamer of video games, determining an identity of the first gamer according to the biometric data, determining according to the identity of the first gamer a gaming account of the first gamer, determining from the gaming account a gaming behavior of the first gamer, determining a context for gaming, determining from the context for gaming and the gaming behavior a gaming strategy, and configuring first equipment used by the first gamer according to the gaming strategy. Other embodiments are disclosed.

The invention relates to a defense method for multi-stage network attack of a power information physical system, comprising the following steps: firstly estimating the modes and resources of the attack and defense sides, adopting a staged offensive and defensive process, and determining the total number of stages of attack and defense; secondly, sequentially calculating the load shedding values ofall possible attack and defense combinations in the next stage using the optimal load shedding algorithm to obtain the potential return of each attack and defense strategy in the current stage; stipulating that the attacker and the defender are simultaneously operated, and obtaining the return matrix of the action of both parties based on the game strategy; getting the Nash equilibrium point of the game by integrating multiple stages, and constructing a decision table to provide guidance for the defense party's active defense method. The invention provides a defense method for coping with multi-stage network attacks, and comprehensively considers resources and means of both offense and defense parties, and may guide the establishment of a grid security defense mechanism.

An educational game system offers fun and effective ways to readily learn about equivalent values in prevalent measurement or counting systems. These may include fractions, percentages, decimals and degrees. This child-friendly game system can include a set of playing cards and a measure. It is a low cost yet effective math learning tool. Interchangeable indicia such as symbols, words and pictures depict face values. These make play and learning accessible to all. Addition, subtraction, multiplication and division are supported. Even players unskilled in the prevalent measurement or counting system or in the underlying math may determine a group value. Cards denote hints and game strategies. The system supports existing and original card games. It may appeal to players of all ages and levels of mathematical proficiency from novices to experts. Game developers may customize the system for any application or market.

The invention discloses a multi-microgrid game optimization method based on power generation prediction in a cloud energy storage environment, belonging to the technical field of power system automation. Aimed to maximize the transaction revenue of multi-micro-grid and cloud energy storage, the method builds an overall joint optimization model of a multi-microgrid system; the overall joint optimization model is decomposed into subsystem models with a single micro-grid as the main body; according to the real-time meteorological information, the day-ahead output condition of each main body is predicted; according to the historical data of other main bodies, each main body predicts the day-ahead output of other main bodies; by taking the electricity sales and purchase volume of the current main body and the cloud energy storage transaction as participants and the electricity sales and purchase volume of other main bodies and the energy storage transaction as competitors and by seeking forthe Nash equilibrium point of the profit maximization benefit function of each subject and the profit maximization benefit function of cloud energy storage operators, each subsystem model is solved and the game strategy set of each subject is obtained, which realizes the profit maximization of each subject and the whole cloud energy storage operators and the optimal allocation of resources of thewhole system.

The invention discloses a model training method based on reinforcement learning and a related device, which can be applied to a game strategy simulation process. The method comprises the steps of obtaining a preset reinforcement learning model and multiple target reinforcement learning models; inputting the target sample into a preset reinforcement learning model, and performing iterative computation in a reinforcement learning environment to obtain a sample set; extracting an empirical sample from the sample set so as to establish a regularized Anderson target function in combination with thetarget reinforcement learning model; and further determining a loss function by obtaining an Anderson coefficient vector so as to train the preset reinforcement learning model. Samples in the training process are recycled, so that the data utilization rate is improved, the interaction frequency of the intelligent agent and the environment is reduced, and the training efficiency of the reinforcement learning model is improved.

The present invention is directed to an apparatus, system and method for reporting a player's game plays during a game with input from fans on the player's performance, and more specifically allowing each player to dynamically transmit information regarding the player's game plays to a portable remote terminal or central processor from which real-time statistical information may be obtained and wherein the player, coach(es) and / or other teammates may review the statistical information to formulate and implement appropriate game strategies to be effected on the field or court.

The invention discloses a game management method, a game management device and a game management system. The method comprises that: a game advertisement platform receives a request message from a user, wherein the request message carries a user identifier of the user and a game identifier; and the game advertisement platform judges whether the user meets preset conditions in a game strategy or not according to the user identifier and the game identifier, and if the user meets the preset conditions, allows the user to use a game. Through the technical scheme of the invention, corresponding games are transmitted to specified users by applying the specified conditions of the game strategy so as to effectively manage the publishing of the games.