Module: Legion::Extensions::Agentic::Attention::RelevanceTheory::Helpers::Constants

Included in:

CognitiveInput, RelevanceEngine

Defined in:

lib/legion/extensions/agentic/attention/relevance_theory/helpers/constants.rb

Constant Summary

INPUT_TYPES =

Relevance = cognitive_effect / processing_effort Higher effect + lower effort = more relevant

%i[assertion question command observation inference].freeze

RELEVANCE_LABELS =

{
  (0.8..)     => :maximally_relevant,
  (0.6...0.8) => :highly_relevant,
  (0.4...0.6) => :moderately_relevant,
  (0.2...0.4) => :marginally_relevant,
  (..0.2)     => :irrelevant
}.freeze

EFFECT_TYPES =

%i[
  strengthening contradiction new_implication contextual_implication elimination
].freeze

MAX_INPUTS =

300

MAX_HISTORY =

500

MAX_CONTEXTS =

50

DEFAULT_EFFECT =

0.5

DEFAULT_EFFORT =

0.5

EFFECT_FLOOR =

0.0

EFFECT_CEILING =

1.0

EFFORT_FLOOR =

0.01

EFFORT_CEILING =

1.0

EFFECT_DECAY =

Decay rates

0.02

EFFORT_INFLATION =

0.01

ATTENTION_THRESHOLD =

Attention allocation: inputs above this threshold get processed

0.3