geo-infer-cog

name	geo-infer-cog
description	Cognitive modeling for geospatial agents including attention, memory, and trust. Use when implementing spatial attention mechanisms, working memory for geographic contexts, or trust dynamics in multi-agent geospatial systems.
prerequisites	{"required":["geo-infer-act"],"recommended":["geo-infer-bayes","geo-infer-space"]}
difficulty	advanced
estimated_time	60min
examples_dir	../GEO-INFER-EXAMPLES/examples/

GEO-INFER-COG

Instructions

Core Capabilities

• Spatial attention: Selective attention to geographic regions
• Working memory: Context-dependent spatial memory buffers
• Trust dynamics: Agent trust modeling in collaborative environments
• Cognitive load: Resource allocation for spatial reasoning
• Mental models: Internal representations of spatial environments

Key Imports

from geo_infer_cog.core.attention import SpatialAttention
from geo_infer_cog.core.memory import WorkingMemory
from geo_infer_cog.core.trust import TrustModel

Examples

from geo_infer_cog.core.attention import SpatialAttention

attention = SpatialAttention(resolution=7)
salience_map = attention.compute(observations, priors)
focus_region = attention.select_focus(salience_map)

Guidelines

• Currently Alpha status — attention and memory models in development

Integrations

• Integrates with ACT for Active Inference-based cognitive architectures
• Test: uv run python -m pytest GEO-INFER-COG/tests/ -v