Comments (1)
patham9
commented on May 13, 2024
This is expected behavior because currently motor babbling is triggered by existing goals, so only if you add them continuously you will see increasingly more babbling. Another option would be to let it happen for instance with a fixed rate per inference steps, but then the babbling is cycle dependent rather than input goal rate dependent. Also it can lead to collisions with existing action choices as well, but this shouldn't be an issue. Not sure what the best babbling approach is yet, but this is not a bug.
from opennars-for-applications.
Related Issues (20)
- Negating events which aren't in negated form HOT 1
- Usage of Truth_StructuralIntersection HOT 1
- Supporting proper episodic memory HOT 5
- [PERCEPTION] Nalifier for automatic building of taxonomy from rich instances with numeric attributes HOT 7
- Suggestion: centralise asserts for parsing errors HOT 5
- Linear Confidence Discount in Truth Fn's by Inner w2c/c2w Transform HOT 3
- ARM: SSE not known HOT 2
- libbuild.sh doesn't have execution permission by default HOT 1
- Old-fashioned Anticipation investigation
- + relation doesn't derive conclusion as expected HOT 1
- <=> should implicitly derive ==> HOT 2
- Old-fashioned evidence from Prediction investigation HOT 2
- bug: (.) is not parsed correctly HOT 3
- Design: Precondition table needs too much memory with "too many ops" HOT 3
- SEMANTIC_INFERENCE_NAL_LEVEL 0 gives warning message at compilation
- Temporal compounding efficiency
- TODO *query functionality HOT 3
- TODO print predictions HOT 1
- Allow printing stamp information in the interface HOT 2
- Visualizing concept and inheritance networks as the system learns
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from opennars-for-applications.