In this paper, we present an architecture for software agents that enables them to learn vocabulary through the observation of each other bodies and actions ...
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In this paper, we present an architecture for software agents that enables them to learn vocabulary through the observation of each other bodies and actions.
ABSTRACT. In this paper, we present an architecture for software agents that enables them to learn vocabulary through the observation of each.
Learning by observa- tion is useful for software agents because it provides a more direct approach to the problem to solve when compared with other techniques ...
In this paper, we present an architecture for software agents that enables them to learn vocabulary through the observation of each other bodies and actions.
The main objective of this research is the development of agents that learn by observation. In the proposed paradigm, agents must observe the body of the ...
Jul 1, 2013 · This paper presents an agent architecture that enables software agents to learn by direct observation of the actions executed by expert agents ...
This paper presents an agent architecture that provides software agents with learning by observation capabilities similar to those observed in superior mammals.
The PhD research reported on this paper proposes a solution through which software agents may learn by observation, even without a common knowledge.
This paper presents an agent architecture that provides software agents with learning by observation capabilities similar to those observed in superior mammals.