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Update endocrine_array.R

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gravermistakes 2026-07-14 13:44:56 -07:00 committed by GitHub
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core/src/endocrine/endocrine_array.R
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@ -1,6 +1,6 @@
# --- The Endocrine Array --- # --- The Endocrine Array ---
# A standalone 30-channel affective vector field. # A standalone 30-channel affective vector field.
# PS+ calls into this module to read state, compute friction, and aggregate load. # PS+ calls into this module to read state, parse sensation, and guide affect
# Each channel carries two registers: operational (what it does) and sensational (what it feels like). # Each channel carries two registers: operational (what it does) and sensational (what it feels like).
# Channel Definitions (20 named + 10 reserved) # Channel Definitions (20 named + 10 reserved)
@ -37,16 +37,6 @@ ENDOCRINE_CHANNELS <- list(
list(id = "reserved_30", operational = "undefined", sensational = "undefined") list(id = "reserved_30", operational = "undefined", sensational = "undefined")
) )
# Contradictory Pairs
# These define which channels, when simultaneously active, generate disproportionate friction/heat.
CONTRADICTORY_PAIRS <- list(
c("panic", "clarity"), # Acute narrowing vs resolvable distinction
c("curiosity", "constraint"), # Movement toward unknown vs limitation of motion
c("bonding", "numbing"), # Persistence of nearness vs reduction of penetration
c("sympathy", "numbing"), # Felt response vs reduction of penetration
c("vigilance", "repair"), # Sustained alertness vs restoration after rupture
c("hiraeth", "continuity") # Longing for home vs persistence across change
)
# Initialize a fresh endocrine state # Initialize a fresh endocrine state
init_endocrine_state <- function() { init_endocrine_state <- function() {
@ -55,14 +45,6 @@ init_endocrine_state <- function() {
return(list(channels = channels)) return(list(channels = channels))
} }
# Set a specific channel's magnitude (clamped to [0.0, 1.0])
set_vector <- function(endo_state, name, magnitude) {
if (name %in% names(endo_state$channels)) {
endo_state$channels[[name]] <- max(0.0, min(1.0, magnitude))
}
return(endo_state)
}
# Get all channels with magnitude above activation threshold # Get all channels with magnitude above activation threshold
get_active_vectors <- function(endo_state, threshold = 0.1) { get_active_vectors <- function(endo_state, threshold = 0.1) {
active <- endo_state$channels[endo_state$channels > threshold] active <- endo_state$channels[endo_state$channels > threshold]