This Chatbot app, developed in b4a, was created to expand the conversation skills of a facial robot: the ability to learn from conversation and the ability of the facial robot to make sophisticated processing of the contents: syllogisms.
With the algorithms used in this app we have tried not only to implement a dynamic expansion of knowledge based on the content of the conversation, but also (a small glimmer of intelligence) the ability of the facial robot to make syllogisms.
Chatbots are generally based on a predefined question/answer scheme. A next step is the learning algorithms to equip the facial robot conversation with the content learned during the conversation. In this app we come to this and also to the next step: "logical intelligence" or the bot's ability to make syllogisms. Usually these skills are rare in social bots, chatbots or virtual assistants.
The various types of bots are distinguished by the technological complexity of their development. The range ranges from simple question/answer association algorithms to technologies with a high degree of complexity. Chatbots equipped with "artificial intelligence" are able to learn and implement a logical mapping of contents.
This app achieves these results: it required enormous efforts, a lot of development time, and coding with thousands of lines of code. This app contains algorithms for "understanding" the language: the grammatical analysis of the sentence is performed, the logical analysis, and subsequently the creation of a knowledge map based on the logical relationships between "grammatical objects", a map that is enriched with progress of the conversation.
Everything to get a machine capable of making simple syllogisms:
"Who is Michelangelo?", "I don't know"…. "Michelangelo is a painter", "the painter paints" ... "Who is Michelangelo?", "Michelangelo is a painter"..."What do Michelangelo?", "Michelangelo paints" ...(Shown in video Part#1:Chatbot...)
"What is an apple?", "I don't know" ... "an apple is a fruit", "a fruit is good" ... "What is an apple?" An apple is a good fruit "...(Shown in video Part#2:Chatbot...)
This skills are elementary for a human being, but not for a machine...
All of this is shown in the videos (sorry but obviously the videos are in Italian).
With the algorithms used in this app we have tried not only to implement a dynamic expansion of knowledge based on the content of the conversation, but also (a small glimmer of intelligence) the ability of the facial robot to make syllogisms.
Chatbots are generally based on a predefined question/answer scheme. A next step is the learning algorithms to equip the facial robot conversation with the content learned during the conversation. In this app we come to this and also to the next step: "logical intelligence" or the bot's ability to make syllogisms. Usually these skills are rare in social bots, chatbots or virtual assistants.
The various types of bots are distinguished by the technological complexity of their development. The range ranges from simple question/answer association algorithms to technologies with a high degree of complexity. Chatbots equipped with "artificial intelligence" are able to learn and implement a logical mapping of contents.
This app achieves these results: it required enormous efforts, a lot of development time, and coding with thousands of lines of code. This app contains algorithms for "understanding" the language: the grammatical analysis of the sentence is performed, the logical analysis, and subsequently the creation of a knowledge map based on the logical relationships between "grammatical objects", a map that is enriched with progress of the conversation.
Everything to get a machine capable of making simple syllogisms:
"Who is Michelangelo?", "I don't know"…. "Michelangelo is a painter", "the painter paints" ... "Who is Michelangelo?", "Michelangelo is a painter"..."What do Michelangelo?", "Michelangelo paints" ...(Shown in video Part#1:Chatbot...)
"What is an apple?", "I don't know" ... "an apple is a fruit", "a fruit is good" ... "What is an apple?" An apple is a good fruit "...(Shown in video Part#2:Chatbot...)
This skills are elementary for a human being, but not for a machine...
All of this is shown in the videos (sorry but obviously the videos are in Italian).
I am a teacher, I teach math in high school .. but I am not a mathematician I am an engineer (I don't know what's worse ...)
