Interestingly, I added a simple inventory to my little NPCs and then gave them a lower priority goal of collecting a certain amount of food. With a very minimal amount of effort not only will NPCs stockpile some food in their inventory, but also now when they're hungry, they can eat the food in their inventory before going out to look for more.
It's really cool seeing behaviors like this emerging without having explicitly planned it myself! #goap #goapai #gamedev #Godot4
In part 11 of my #JFXInAction interviews, we look at game development. #FXGL is a library created by Almas Baim that helps us create #JavaFX games. But itβs much more than games! With the integrated Goal-Oriented Action Planning (#GOAP) functionality, it can use game technology and AI to solve any goal, based on actions and preconditions. In this video, Almas live codes such a solution with a minimal amount of code!
Video: https://www.youtube.com/watch?v=RFSIBrP4mZM
More info: https://webtechie.be/post/2024-12-05-jfxinaction-almas-baim/
Nei tribunali italiani il fenomeno della vittimizzazione secondaria Γ¨ realtΓ . Gli abusi vengono infatti spesso archiviati e le valutazioni degli psicologi non prendono atto dellβesperienza traumatica delle madri vittime di violenza, privilegiando i padri maltrattanti, ritenuti invece idonei, in piΓΉ della metΓ dei casi, per un affidamento condiviso, o addirittura esclusivo, dei figli. Le storie di Julia e Vanessa
#GodotEngine #ResourceWrangler #GOAP #AI
Am hacking away on a small (fake) GOAP system for my fishies. I am using the Resource Wrangler plugin to sketch it out and find the best approaches.
For more complicated critters I will need a better goap, but that's the future.
π¦
#GOAP
What this means in practice is that an agent will attempt several things to try and bring its game state into alignment before trading to see if it has reached its goal.
There are mainly two things limiting the sorts of goals sought by an agent: One is that goals aren't originated from the agent themselves but the environment around them (Situations "emit" types of goals), and agents will make generalized risk/rewards assessments in the planning process.
I've implemented some "child goals" in tandem with the many free-standing goals, so that certain things will be attempted by an agent before they act on their main objective.
Results are varied, of course, so an agent might try to pull off a heist without knowing the interior of the location, becoming lost as a result. See: my next influence... #fiasco
ΠΠ»ΡΠ½Π΅Ρ β ΡΠ·ΡΠΊ Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ ΠΠ: ΡΡΠΎ ΠΈΠ· Π½Π΅Π³ΠΎ ΠΏΠΎΠ»ΡΡΠΈΠ»ΠΎΡΡ
ΠΠΎΡΡ ΠΏΠΎΠ΄ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΡΠ΅ΠΌΡ GOAP (Goal Oriented Action Planning), ΠΈΡΡΠΎΡΠ½ΠΈΠΊ ΠΠ»ΡΠ½Π΅Ρ (Planner) β ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎ-Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ·ΡΠΊ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΡ ΠΎΠΆΠΈΠΉ ΠΏΠΎ ΡΠ²ΠΎΠ΅ΠΌΡ ΡΠΈΠ½ΡΠ°ΠΊΡΠΈΡΡ Ρ ΠΠΈΡΠΏΠΎΠΌ . Π€ΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½Π°Ρ ΡΠ°ΡΡΡ ΡΠ·ΡΠΊΠ° ΡΠΎΠ΄Π΅ΡΠΆΠΈΡ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΡΠ΅Π»ΠΈΠΊΠΎΠΌ ΠΠΈΡΠΏ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΠΎΠ΄ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π°. ΠΡΠΈ ΡΡΠΎΠΌ Π΅Π³ΠΎ Π²ΡΡΡΠΎΠ΅Π½Π½ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΠΎ ΡΠΈΠΌΠ²ΠΎΠ»ΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΡΠΈΡΠ΅. Π Π²Π²Π΅Π΄Π΅Π½ΠΈΠ΅ Π² Π·Π°ΠΏΠΈΡΡ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ ΡΠΈΠΏΠΎΠ² ΡΠΊΠΎΠ±ΠΎΠΊ (Π² ΠΠΈΡΠΏΠ΅ Π΄ΠΎΠΏΡΡΠΊΠ°ΡΡΡΡ ΡΠΎΠ»ΡΠΊΠΎ ΠΊΡΡΠ³Π»ΡΠ΅ ΡΠΊΠΎΠ±ΠΊΠΈ) ΡΠ΄Π΅Π»Π°Π»ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ Π³ΠΎΡΠ°Π·Π΄ΠΎ ΠΏΠΎΠ½ΡΡΠ½Π΅Π΅ Π΄Π»Ρ ΡΡΠ΅Π½ΠΈΡ. Π ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ β ΡΡΠΎ ΠΏΠ°ΡΠ°Π΄ΠΈΠ³ΠΌΠ° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½Π°Ρ Π½Π° ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π»ΠΎΠ³ΠΈΠΊΠ΅, Π² ΠΊΠΎΡΠΎΡΠΎΠΉ ΠΊΠΎΠ΄ ΡΠΎΡΡΠΎΠΈΡ ΠΈΠ· Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ ΡΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΠΉ ΠΈ ΠΏΡΠ°Π²ΠΈΠ» Π²ΡΠ²ΠΎΠ΄Π°.
https://habr.com/ru/companies/ruvds/articles/808273/
#ruvds_ΡΡΠ°ΡΡΠΈ #domainspecific #Planner #ΠΠ #ΠΠ»ΡΠ½Π΅Ρ #ΠΠΈΡΠΏ #Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅_ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ #GOAP
ΠΠΎΡΡ ΠΏΠΎΠ΄ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΡΠ΅ΠΌΡ GOAP (Goal Oriented Action Planning), ΠΈΡΡΠΎΡΠ½ΠΈΠΊ ΠΠ»ΡΠ½Π΅Ρ (Planner) β ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎ-Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ·ΡΠΊ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΡ ΠΎΠΆΠΈΠΉ ΠΏΠΎ ΡΠ²ΠΎΠ΅ΠΌΡ ΡΠΈΠ½ΡΠ°ΠΊΡΠΈΡΡ Ρ ΠΠΈΡΠΏΠΎΠΌ . Π€ΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½Π°Ρ...
I gave it a go in implementing #GOAP in our project and it seems it might actually not be very suited for a "tribe sim" sort of game (think buildings and resource management). Simply because... the world is not static. Things sometimes are available sometimes are not.
The world state in Fear is a set of 22 booleans (ENUM_AIWORLDSTATE_PROP_KEY in AIWorldState.h). What happens if you have 40+ resources that can be mixed together in different buildings?
I've been digging into #GOAP #gameai #gamedev. Here is a bunch of resources:
Jeff Orkin's GDC talk: https://www.gdcvault.com/play/1013282/Three-States-and-a-Plan
A shorter intro: https://www.youtube.com/watch?v=PaOLBOuyswI
Even shorter intro: https://www.youtube.com/watch?v=tdBWk2OVCWc
A more recent #GDCtalk about GOAP: https://www.youtube.com/watch?v=gm7K68663rA (the statistics are quite interesting!)
The Fear SDK source code with all GOAP goodies: https://github.com/xfw5/Fear-SDK-1.08
Another simpler GOAP implementation in #cpp: https://github.com/cpowell/cppGOAP
Claude Trudel
AI and Games
Ovenπ§ͺ
Frank Delporte
Altreconomia
dbat 
Tanys Foster
Habr
Eduardo K. Simioni