Package edu.uiuc.ge.illigal.gale.agents

Knowledge representations evolvable using GALE.

See:
          Description

Interface Summary
Agent Defines a generic handle to Agents.
AgentPerformance Defines a generic handle to Agent's Performance.
 

Class Summary
BatchPerformance Implements the AgentPerformance for batch learning.
CLAgent Implements the generic handle to Agents for Rule based agents.
DTAgent Implements the generic handle to Agents for Induction Trees.
IBAgent Implements the generic handle to Agents for Instance Based Agents (GENIFER).
 

Package edu.uiuc.ge.illigal.gale.agents Description

Knowledge representations evolvable using GALE. This package contain some of the knowledge representations than can be evolved using the GALE model. In this distribution three different representations are provided:

The rules implement rules using the n-ari alphabet defined over {0,1,...,n#}. No real-value representation is provided in this distribution (see decision trees). Instances are prototypes build on the data using nearest neighbor rule. This knowledge representation can be applied indistinctly to data with nominal and numeric attributes. Finally, the last knowledge representation distributed is based on orthogonal decision trees. These trees deal with nominal and numeric data. Hence, rule for numeric attributes can be extracted for the evolved decision trees.