Volume : VIII, Issue : IV, April - 2019
Communication between two agents using Emotional Cognitive Conversational Agent Architecture (ECCAA)
Gnaneswari Gnanaguru
Abstract :
This research is an attempt to substitute an agent in place of a customer care executive in a helpdesk kind of scenario by building an emotional cognitive conversational agent. Some of the cognition that may be required to achieve human like dialog system are goal, desire, belief, intention, decision making, emotions, compassion, emotional pragmatics etc. The functionality of this Cognitive Architectures is Decision making, Prediction, Problem solving, Reasoning and Belief, action, communication between agents, Learning and reflection. Conversational agent or Chatbot is become to rule our day to day lives. Alexa, Siri, Watson, etc have become the buzz words of today. This research paper is an attempt to implement the architecture for Conversational agents based on human cognition using Python and Machine Learning for communication between two agents.
Keywords :
Artificial Intelligence Cognitive science Chatbot Machine Learning Python Conversational Agents Communicating Agents
Article:
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DOI : 10.36106/ijsr
Cite This Article:
COMMUNICATION BETWEEN TWO AGENTS USING EMOTIONAL COGNITIVE CONVERSATIONAL AGENT ARCHITECTURE (ECCAA), Gnaneswari Gnanaguru INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-8 | Issue-4 | April-2019
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COMMUNICATION BETWEEN TWO AGENTS USING EMOTIONAL COGNITIVE CONVERSATIONAL AGENT ARCHITECTURE (ECCAA), Gnaneswari Gnanaguru INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-8 | Issue-4 | April-2019
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