| 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
