Annie Baliel

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CellularAutomata.jl: Cellular Automata Simulation toolkit for Julia

Cellular Automata

A cellular automaton is a collection of "colored" cells on a grid of specified shape that evolves through a number of discrete time steps according to a set of rules based on the states of neighboring cells. The rules are then applied iteratively for as many time steps as desired.

mathworld.wolfram.com/CellularAutomaton

Elementary CA

To generate an elementary cellular automaton, use

ca = CellularAutomaton(rule, init, gen)

where rule is the Wolfram code (integer), init is a vector containing the initial starting condition and gen is the number of generations to be computed. For a single starting cell in the middle just omit the init vector.

To generate 15 generations of elementary cellular automaton of rule 90 use

using CellularAutomata

ca90 = CellularAutomaton(90, 16)
                            #                                    
                           # #                                   
                          #   #                                  
                         # # # #                                 
                        #       #                                
                       # #     # #                               
                      #   #   #   #                              
                     # # # # # # # #                             
                    #               #                            
                   # #             # #                           
                  #   #           #   #                          
                 # # # #         # # # #                         
                #       #       #       #                        
               # #     # #     # #     # #                       
              #   #   #   #   #   #   #   #                      
             # # # # # # # # # # # # # # # #                     

Totalistic CA

For a more complex cellular automaton you can change the number of states k the cell can be and the radius r of neighbors that can influence the states. If k is changed to be larger than 2, a totalistic CA is computed where only the average value of all neighbors count. This can be done like this

ca = CellularAutomaton(993, 15, k=3)
                        X                         
                       XXX                        
                      X# #X                       
                     X     X                      
                    XXX   XXX                     
                   X# #X X# #X                    
                  X     #     X                   
                 XXX   ###   XXX                  
                X# #X # X # X# #X                 
               X      # X #      X                
              XXX    ## X ##    XXX               
             X# #X  #   X   #  X# #X              
            X     X### XXX ###X     X             
           XXX   X XX  # #  XX X   XXX            
          X# #X XX###X## ##X###XX X# #X           

2 dimensional CAs

Two dimensional cellular automaton (like Conway's Game of Life) can be created by

ca = CA2d(B, S, init, gen)

where B and S are vectors that have the numbers of neighboring cells that define when cell is born or survives, init (matrix) is the initial starting condition and gen is the number of generations the CA is to be computed.

Game of life is then run for 9 generations for e.g. a turbine pattern by typing

ca = CA2d([3], [2, 3], init, 9)

1st step

   ###### ##        
   ###### ##        
          ##        
   ##     ##        
   ##     ##        
   ##     ##        
   ##               
   ## ######        
   ## ######        
                    

2nd

    ####            
   #    # ##        
   #    #   #       
      ##    #       
   ##    #  #       
  #  #   #  #       
  #  #    ##        
  #    ##           
  #   #    #        
   ## #    #        
       ####         
               
 

3rd

     ##             
    ####            
   # ## ## #        
        ##  #       
   ##  ##  ###      
   #### #  ###      
  #  #   #  #       
 ###  # ####        
 ###  ##  ##        
  #  ##             
   # ## ## #        
       ####         
        ##          
             
   

4th

    #  #            
        #           
         ##         
   # ##      #      
   #  #   #         
  #   # ###         
 #           #      
    ### #   #       
    #   #  #        
 #      ## #        
    ##              
      #             
       #  #         

                    

5th

        ##          
         #          
    ###  ##         
  ### #   #         
  #    # ##         
      # #           
    ## #    #       
    #   # ###       
    ##  ###         
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6th

        ##          
     #              
    # #  ##         
  # # ###  #        
  #  ######         
     ## ##          
    ######  #       
   #  ### # #       
    ##  # #         
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7th

     #  # #         
   ## # ###         
    #      #        
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    #     ##        
   #      #         
    ### # ##        
    # #  #          
     
           

8th

    ## ## #         
   ##  ## ##        
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   ##     ##        
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9th

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Running Tests

To run tests, execute the following command from the root folder of the repository:

julia tests/run_tests.jl

Download Details:

Author: Natj
Source Code: https://github.com/natj/CellularAutomata.jl 
License: MIT license

#julia #math #toolkit 

Lakshya Pareek

Lakshya Pareek

1664775764

How to Create a Successful Gaming App?

How to create a game app is a comprehensive guide, explaining the entire process of creating and publishing games for iOS and Android. Covering all the essential information a budding game developer needs to know.

 

Read More - https://www.brsoftech.com/blog/how-to-create-a-game-app/

 

#game-engine  #game-development  #game  #games  #gaming 

Autumn  Blick

Autumn Blick

1602565700

Game Development with .NET

We’ve launched a new Game Development with .NET section on our site. It’s designed for current .NET developers to explore all the choices available to them when developing games. It’s also designed for new developers trying to learn how to use .NET by making games. We’ve also launched a new game development Learn portal for .NET filled with tutorials, videos, and documentation provided by Microsoft and others in the .NET game development community. Finally, we launched a step-by-step Unity get-started tutorial that will get you started with Unity and writing C## scripts for it in no time. We are excited to show you what .NET has to offer to you when making games. .NET is also part of Microsoft Game Stack, a comprehensive suite of tools and services just for game development.

A picture of a game controller

.NET for game developers

.NET is cross-platform. With .NET you can target over 25+ different platforms with a single code base. You can make games for, but not limited to, Windows, macOS, Linux, Android, iOS, Xbox, PlayStation, Nintendo, and mixed reality devices.

C## is the most popular programming language in game development. The wider .NET community is also big. There is no lack of expertise and support you can find from individuals and user groups, locally or online.

.NET does not just cover building your game. You can also use it to build your game’s website with ASP.NET, your mobile app using Xamarin, and even do remote rendering with Microsoft Azure. Your skills will transfer across the entire game development pipeline.

logos of some gaming platforms supported by .NET

Available game engines

The first step to developing games in .NET is to choose a game engine. You can think of engines as the frameworks and tools you use for developing your game. There are many game engines that use .NET and they differ widely. Some of the engines are commercial and some are completely royalty free and open source. I am excited to see some of them planning to adopt .NET 5 soon. Just choose the engine that better works for you and your game. Would you like to read a blog post to help you learn about .NET game engines, and which one would be best for you?

#.net #.net core #azure #c# #game development #azure #cryengine #game developers #game development #game development with .net #game engines #games #monogame #playfab #stride #unity #visual studio #waveengine

Juned Ghanchi

1622631378

AI in Game Development - ITChronicles

For some years, artificial intelligence (AI) has been penetrating almost all digital spaces. After playing an instrumental role in digital communication and real-time problem-solving in many industries, AI in game development is expanding too. The significant impact of AI has played an instrumental role in the mobile and console game industry’s success.

AI has taken game development to new heights. AI helps to ensure greater satisfaction for gamers by addressing their objectives and concerns. AI also helps game developers come with higher-value additions and revisions based on data-driven insights,

AI is now showcasing many unprecedented opportunities in the gaming industry besides fulfilling its primary promise of delivering a great gaming experience. Here are some of the key ways AI is affecting the development of modern games.

**AI-Based Player Profiling **

Game developers now include AI-based player profiling within the game frameworks. This offers a game-playing experience that suits the target player profiles’ characteristic elements. You can hire game developers in India who are experts in creating AI-based player profiles equipped and thoroughly trained with game playing styles and different in-game player behaviors. These talented game developers can deliver a highly real-life environment within the game thanks to precise player profiling based on AI technology.

Read More: https://itchronicles.com/artificial-intelligence/ai-in-game-development/

#game development #game programming #game algorithms #game character design

How to Develop an NFT Gaming Platform From Scratch?

In general, developing an NFT gaming platform from scratch is similar to creating any blockchain application. Still, there are some unique aspects of NFT game development that make them worthy of mentioning in a step-wise order. The steps below give you a glimpse of building an NFT gaming platform from scratch.

  • Initially, one must plan all the facets of an NFT game. This includes technology, gameplay nature, blockchain(s) to work, market, target audience, competitors, and business plans. A road map should be drawn based on the observations.
  • Now, design the game’s prototype and get it tested with limited users. Based on the feedback, you can shape the game's front-end by designing all the in-game aspects.
  • Then, create the back–end features for the NFT gaming platform. Here, you should also integrate blockchain(s), smart contracts, and native tokens of your game.
  • Now, test the NFT gaming platform extensively for bugs and debug any errors that might be present.
  • At last, launch the NFT gaming platform for public use. Get gamer feedback and implement them in future updates to stay competitive in the gaming world.

If you want to create an NFT gaming platform, consider approaching a development firm that can help you realize your ideas.

#nft #game-development #games #gaming #game app development #nftmarketplace #blockchains