![]() ![]() The shift is that the language autonomy of agent is diversified into the management and behavior dimensions, in contrast to the existing agents which possess only a single dimension of autonomy. The need for a new architecture for the language faculty was necessitated because of the paradigm shift brought about in the fundamental conceptualization of an agent described in the above two works. ![]() The newly defined architecture derives its base from earlier works (Chithralekha & Kuppuswami, 2008) which are:ĭefinition of New Internal State Paradigm for Language Faculty This language ability component interacts with the functional component of the agent in order to accomplish the goal of the agent. The objective of this paper is to define the architecture of the language ability of an agent. In the existing agents with natural language capabilities, a comprehensive architecture for the language ability of an agent that accommodates both CNLI and DM along with the required agent properties have not received the required focus. Also, these two functions should be able to exhibit the required agent properties. Therefore, collaborative natural language interaction (CNLI) with dynamic multilingualism (DM) have been identified as the two functions required to be attributed to an agent for fulfilling the interaction aspects of task delegation. Only then, an agent’s service could be made available across language barriers. The agent should be able to dynamically configure its language of interaction according to the user’s choice or preference. To cater to the language requirements of global users, the collaborative natural language interaction should be supported in at least a subset of languages available. The natural language interaction should also be collaborative in order that an agent is able to suggest alternatives or ask for advice during task execution. Hence, from an interaction perspective of delegation, an agent is required to support natural language interaction. ![]() The interaction requirements of task delegation necessitate that an agent is able to work on abstract task specifications given by users and ask for and receive advice in human terms during task execution (Bradshaw, 1997). Software Agents differ from other software by their ability to work on delegation. ![]()
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