]> git.localhorst.tv Git - blobs.git/blobdiff - src/creature/Genome.hpp
fix AI
[blobs.git] / src / creature / Genome.hpp
index 057c6609915abc0cece270fbdb197a426215eb41..3361fdef2037d6f913a72ba12c098fe1ddc2e5de 100644 (file)
@@ -2,6 +2,8 @@
 #define BLOBS_CREATURE_GENOME_HPP_
 
 #include "../math/Distribution.hpp"
+#include "../math/GaloisLFSR.hpp"
+#include "../math/glm.hpp"
 
 #include <vector>
 
@@ -16,17 +18,46 @@ class Creature;
 
 struct Genome {
 
+       template<class T>
+       struct PropertySet {
+               /// the age at which to transition to the next phase
+               T age;
+               /// maximum body mass
+               T mass;
+               /// fertility factor
+               T fertility;
+               /// skin highlight pronounciation
+               T highlight;
+       };
        template<class T>
        struct Properties {
-               T birth_mass;
-               T fertile_mass;
-               T max_mass;
-
-               T fertile_age;
-               T infertile_age;
-               T death_age;
+               PropertySet<T> props[6];
+               PropertySet<T> &Birth() noexcept { return props[0]; }
+               const PropertySet<T> &Birth() const noexcept { return props[0]; }
+               PropertySet<T> &Child() noexcept { return props[1]; }
+               const PropertySet<T> &Child() const noexcept { return props[1]; }
+               PropertySet<T> &Youth() noexcept { return props[2]; }
+               const PropertySet<T> &Youth() const noexcept { return props[2]; }
+               PropertySet<T> &Adult() noexcept { return props[3]; }
+               const PropertySet<T> &Adult() const noexcept { return props[3]; }
+               PropertySet<T> &Elder() noexcept { return props[4]; }
+               const PropertySet<T> &Elder() const noexcept { return props[4]; }
+               PropertySet<T> &Death() noexcept { return props[5]; }
+               const PropertySet<T> &Death() const noexcept { return props[5]; }
 
-               T fertility;
+               /// "typical" properties
+               /// every one of these should have at least one
+               /// negative impact to prevent super-beings evolving
+               /// power at the cost of higher solid intake
+               T strength;
+               /// more endurance at the cost of higher liquid intake
+               T stamina;
+               /// more speed at the cost of higher fatigue
+               T dexerty;
+               /// higher mental capacity at the cost of boredom
+               T intelligence;
+               /// how likely to mutate
+               T mutability;
        };
        Properties<math::Distribution> properties;
 
@@ -46,8 +77,43 @@ struct Genome {
        };
        std::vector<Composition> composition;
 
+       math::Distribution base_hue;
+       math::Distribution base_saturation;
+       math::Distribution base_lightness;
+
        void Configure(Creature &) const;
 
+       static PropertySet<double> Instantiate(
+               const PropertySet<math::Distribution> &p,
+               math::GaloisLFSR &rand
+       ) noexcept {
+               return {
+                       p.age.FakeNormal(rand.SNorm()),
+                       p.mass.FakeNormal(rand.SNorm()),
+                       p.fertility.FakeNormal(rand.SNorm()),
+                       glm::clamp(p.highlight.FakeNormal(rand.SNorm()), 0.0, 1.0)
+               };
+       }
+
+       static Properties<double> Instantiate(
+               const Properties<math::Distribution> &p,
+               math::GaloisLFSR &rand
+       ) noexcept {
+               return {
+                       Instantiate(p.props[0], rand),
+                       Instantiate(p.props[1], rand),
+                       Instantiate(p.props[2], rand),
+                       Instantiate(p.props[3], rand),
+                       Instantiate(p.props[4], rand),
+                       Instantiate(p.props[5], rand),
+                       p.strength.FakeNormal(rand.SNorm()),
+                       p.stamina.FakeNormal(rand.SNorm()),
+                       p.dexerty.FakeNormal(rand.SNorm()),
+                       p.intelligence.FakeNormal(rand.SNorm()),
+                       p.mutability.FakeNormal(rand.SNorm())
+               };
+       }
+
 };
 
 }