6533b831fe1ef96bd12985d0
RESEARCH PRODUCT
Internal Simulation of an Agent’s Intentions
Miriam BuonamenteMagnus Johnssonsubject
Associative Self-Organizing Map; Internal Simulation;ContinuationArtificial neural networkbusiness.industryComputer scienceAssociative Self-Organizing MapRepresentation (systemics)Artificial intelligenceSpace (commercial competition)businessInternal SimulationAssociative propertydescription
We present the Associative Self-Organizing Map (A-SOM) and propose that it could be used to predict an agent’s intentions by internally simulating the behaviour likely to follow initial movements. The A-SOM is a neural network that develops a representation of its input space without supervision, while simultaneously learning to associate its activity with an arbitrary number of additional (possibly delayed) inputs. We argue that the A-SOM would be suitable for the prediction of the likely continuation of the perceived behaviour of an agent by learning to associate activity patterns over time, and thus a way to read its intentions.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-01-01 |