Conversational
IA
Our vision of conversational AI
Artificial Intelligence has become the key computing technology for the development of conversational systems.
Our vision of conversational AI
What is the conversation?
It is a formal or informal exchange of information between individuals or groups, through a process of oral, written, visual communication or code systems.
Its structure has an opening-body-closing format (opening based on the objective of the information exchange, the body is oriented to the efficient exchange of information and the closing focuses on orienting the context of the next conversation).
It is contextualized in time, space and purpose or objective.
- Information Theory.
- Theory of Knowledge.
- Psycholinguistics and Sociolinguistics.
- General Systems Theory.
The irruption of new computing technologies has introduced physical or virtual machines (software) into the above definition of conversation.
The set of technologies that allow machines and people to create and develop conversations are called Conversational Technologies.
Artificial Intelligence has become the key computing technology for the development of conversational systems.
THE HISTORY OF CONVERSATIONAL IA IS LONG, BROAD AND DEEP
AI has been applied to conversational systems for almost 60 years both at research level and in the development of operational systems, as the following pioneering and successful programs serve as examples:
1964
ELIZA, developed by Weizenbaum in 1964, considered as the first conversational Bot in history, an improved version was created in 2014 by DeixiLabs.
1970
MYCIN, medical diagnostic system, created in 1970 by Shortliffe where conversational AI based on conversation strategies was used for the subsystems of interaction with the patient and justification and explanation of diagnosis and treatment.
1972
PARRY, created by psychiatrist Kenneth Colby in 1972 to simulate paranoid schizophrenic behaviors for clinical research.
1978
POLITICS, an ideology-based reasoning system for foreign policy development, developed by Carbonell in 1978 for the US State Department, where conversational AI was used to extract knowledge from political leaders and senior State Department officials and implement it in the form of rules of action in a knowledge base, and conversational AI was used to interpret the state of the world in terms that could be codified by the system.
OUR DEFINITION OF THE CONVERSATIONAL AI
For us, conversational AI basically consists of the application of multiple areas and techniques of AI, for automatic generation of understanding, improvement of interaction and adaptability within the different conversation models that can currently be established between conversational agents:
person-person, person-group, group-group, group-person, machine-person, person-machine, machine-group, group-machine and machine-machine.
Areas of conversational AI
Knowledge
engineering
Automated
Reasoning
Deep
learning
Strategic
Planning
Complex decision
making
Smart
sensors
Improvement of interaction, adaptability and understanding in people and machines
Natural Language
Processing
Computer
Vision
Cognitive
Analysis
CONVERSATIONAL AI APPLICATIONS
Some of the traditional and potential applications of conversational AI include the following:
- Extraction of expert knowledge.
- Detection and description of intentions and moods.
- Automatic generation and filling of questionnaires.
- Automatic generation and development of interviews.
- Personalization of services and contents.
- Decision-making induction.
- Justification, explanation and traceability of actions and decisions.
- Simulation of personal and group behaviors.
- Semantic description of the state of machines and infrastructures.
- Intelligent interaction between devices.
- Automatic generation of histories.
CONVERSATIONAL AI SOLUTIONS
Some technological solutions where conversational AI can be applied:
- Chatbots/Voicebots multipurpose.
- Online help systems for the use of software and machines.
- Conversational video games.
- Assistance to operators in the monitoring of complex services and infrastructures.
- Diagnosis and treatment of breakdowns, diseases, security alerts, etc.
- Electronic sales.
- Electronic commerce between machines (intelligent marketplaces).
- Support for business decision making.
- Intelligent interaction between devices (home automation).
Conversational AI application markets
Improved interaction, adaptability and understanding between people and machines.
MILITARY INDUSTRY
PROFESSIONAL AND ENTERTAINMENT SOFTWARE
TELECOMMUNICATIONS
ENERGY
BIOTECHNOLOGY
ELECTRONICS
HEALTH
ICT SOLUTIONS AND SERVICES
SECURITY
AERONAUTICS AND AEROSPACE
INDUSTRIAL MACHINERY
