Functional and Harmonious Self-organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies
Issue:
Volume 10, Issue 1, June 2021
Pages:
1-10
Received:
20 April 2021
Accepted:
5 May 2021
Published:
14 May 2021
Abstract: Artificial intelligence of large ensembles of intelligent agents in terms of computing power surpasses human intelligence. He is capable of artificial thinking and understanding. Giant ensembles of intellectual agents with artificial consciousness and intelligence are able, for the results set by the person necessary for him, to find solutions for their obtaining on the basis of professional competence and experience accumulation. The professional competence of artificial intelligence is the ability to use technologies, including computer vision, natural language processing, speech recognition and synthesis, intelligent decision support, as well as the use of synergistic methods, functional self-organizing methods and utility and preference criteria. For artificial intelligence, the functional organization of the system is important. The functionalism of artificial intelligence does not depend on its carrier, allows many methods of its functional implementation, as well as to form the completeness of its functions. Giant ensembles of intellectual agents with a full set of functions gradually and flexibly form events into solutions or rational behavior to obtain a given necessary result. Intelligent artificial intelligence has psychological, analytical, research, language, professional and behavioral hybrid competencies. Each competence is exercised by an intelligent agent with a competent functional professional manner. Intelligent agents form an ensemble with intelligent ethical artificial intelligence. Functional harmonious self-organization of the interaction of intellectual agents in different environments is carried out on the basis of data of a specific environment obtained by analytical competent intellectual agents. For each set of functions and smart hybrid competencies of an intelligent ensemble, there is a critical importance for the number of its intellectual agents capable of synergistic self-organization of interaction.
Abstract: Artificial intelligence of large ensembles of intelligent agents in terms of computing power surpasses human intelligence. He is capable of artificial thinking and understanding. Giant ensembles of intellectual agents with artificial consciousness and intelligence are able, for the results set by the person necessary for him, to find solutions for ...
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A Technical Survey on the Modeling of Topical Bot
Aishna Gupta,
Anuska Rakshit
Issue:
Volume 10, Issue 1, June 2021
Pages:
11-18
Received:
26 May 2021
Accepted:
8 July 2021
Published:
16 July 2021
Abstract: This paper explains the working of the conversational AI models and their characteristic features. The primary objective of this paper is to let the readers know about what topical chats are and how they work. Topical chats have huge data/knowledge stored in them for making the conversation interactive and engaging with humans. The first-generation conversational AI models were simply focused on short task-oriented dialogs, such as telling jokes, the weather of the day, or playing songs. But now advanced models can have everyday smooth conversations. These models are built to understand different languages and their different accents. These models can identify whether the user is female/male/other, detect the change in the user’s emotion during the conversation and switch the topic of discussion accordingly. Building a conversational AI model has been a challenging task for researchers as well as the developers as they require deep knowledge in NLU, ASR, LM, Semantics, etc. Understanding human emotions and sentiments is a difficult task for an AI model. Recognizing the speech and giving a sensible response is challenging too. But nowadays AI models are so developed that they can even differentiate between good words and slang words.
Abstract: This paper explains the working of the conversational AI models and their characteristic features. The primary objective of this paper is to let the readers know about what topical chats are and how they work. Topical chats have huge data/knowledge stored in them for making the conversation interactive and engaging with humans. The first-generation...
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