Abstract

 Learning is simply not an algorithm that defines rules on how agent can learn, but various other parameters than of an algorithm which has its impact on agent’s learning behavior. There are various Reinforcement learning methodologies and types but the Question is how natural can these learning algorithms be on agents? This research paper investigation is concerned with understanding animal and human learning and the importance of agent’s various internal and external parameters that have the effect for human-like learning ability. We focus on infantry agent that ameliorates with time and gets intelligent.

Keywords- Reinforcement Learning, Human Learning, Society of Mind Approach to Cognitive Architecture (SMCA), Fungus world testbed.