Ontology Driven Agent Memory (ODAM) in AI PSY HELP: An architecture for personalizing AI models.

Authors: Vladimir Achkurin, Sergey Fedorovich, Andrii Kryvosheiev.

Affiliation: AI PSY HELP, MPT Pay LTD

Abstract:

This article presents the key aspects of the Ontology Driven Agent Memory (ODAM) architecture in the AI PSY HELP project, integrating advanced techniques of information extraction, natural language processing, and machine learning to create a continuous and efficient dialogue between the virtual agent (psychotherapist) and the user.

1. Introduction

While developing AI PSY HELP, we faced the need to create a system capable of conducting a continuous, meaningful dialogue that has the ability to "remember" and adapt to user needs. This task was solved by developing and implementing the ODAM architecture.

2. Description of the ODAM Architecture

ODAM combines the processes of extraction and response generation based on structured summaries of dialogues, which are indexed and serve as nodes in the database. This allows for the creation of a personalized and contextual experience of communication with the virtual psychotherapist (applicable to all AI models).

3. The ODAM Working Process

The article discusses the key stages of processing user requests: translation, extraction, response generation, and persistent memory. Special attention is paid to optimization and learning mechanisms that allow the system to adapt and update based on user interactions.

4. Security and Escalation in ODAM

The article examines security protocols, including mechanisms for rapid response to critical queries and the recognition of signals indicating serious psychological problems.

5. The Significance and Application of ODAM in Psychotherapy

The uniqueness and innovation of ODAM in the context of virtual psychotherapy are emphasized, demonstrating how this technology improves the quality of interaction between the user and the system.

6. Practical Application and Future Development

The document elaborates on how ODAM can be applied in real-world psychological support scenarios and the prospects it opens for future research in AI and psychotherapy. It discusses the potential for integrating ODAM into various psychological services and its impact on improving customer service quality.

7. Intellectual Property and Copyright

The legal aspect of ODAM as a unique development is described, emphasizing the originality of the approach and its significance for protecting intellectual property in the field of AI application in psychotherapy. ODAM's role as a primary model for personalizing any AI for the user is also highlighted.

8. Concluding Considerations

A final analysis of the effectiveness and importance of ODAM for the future development of the virtual psychotherapy field is provided. The significance of such an approach for implementing more effective and safe psychological assistance systems is underscored.

Bibliography

The article includes a list of sources used in its writing, including academic works and publications on the topic of AI in psychotherapy.

Introduction

The development of the AI PSY HELP project was aimed at creating a unique platform for psychological assistance, where the key element was the use of artificial intelligence. The goal was to create a system capable of not only responding to user queries but also conducting a continuous, meaningful dialogue that can "remember" information about the user, their needs, and previous interactions. This requirement became particularly relevant in the context of psychotherapeutic assistance, where the ability of the system to adapt to the unique emotional and psychological states of each individual is crucial.

Innovative Architecture: ODAM (Ontology Driven Agent Memory)

To address this challenge, the innovative architecture of ODAM was developed and implemented. This architecture represents a synthesis of technologies in information extraction, natural language processing, and machine learning, ensuring the creation of a continuous and adaptable dialogue between the virtual agent and the user. ODAM enables the system not only to react to the current user requests but also to integrate information from previous interactions, thereby creating a deeper and more personalized form of communication.

The integration of ODAM in AI PSY HELP has opened new horizons in the use of AI for psychotherapy, demonstrating unique possibilities in creating a personalized approach to each user, taking into account their individual characteristics and psychological needs.

Detailed Examination of the ODAM Architecture

The ODAM architecture in the AI PSY HELP project represents a comprehensive solution combining high-level processes of information extraction and response generation. This is achieved through structured storage of dialogues and their subsequent indexing, providing quick and accurate access to necessary information during dialogue with the user. Below are the key components of this architecture:

Dialogue Storage:

• In AI PSY HELP, dialogues are stored as summaries, each containing main topics and key points of discussions. These summaries are formed using machine learning algorithms and NLP (Natural Language Processing), enabling precise extraction and storage of the most significant aspects of each dialogue.
• Example: In a dialogue with a client suffering from anxiety, the summary includes discussions about their main symptoms, coping strategies used, and feelings during anxious episodes. This information becomes an indexable node that can be revisited in subsequent sessions.

Indexing and Search Optimization:

• Using embedding techniques, AI PSY HELP indexes summaries for improved semantic content search. This provides the model with the ability to quickly find relevant nodes and adapt responses considering the user's context.
• Example: When the user expresses a new problem, the system analyzes the query, compares it with saved summaries, and selects the most relevant information to form a response, creating an impression of continuous and understanding dialogue.

Query Translation and Extraction Process:

• The query translation process involves parsing incoming queries into components, analyzing their intentions, and matching them with corresponding nodes in the database. This allows the system to efficiently process diverse user requests, considering their individual characteristics and previous communication experience.
• Example: If a user asks about stress management methods, the system analyzes the query and searches for relevant summaries where similar issues were discussed, providing informed and personalized responses.

Response Generation:

• Response generation is carried out by synthesizing information from selected summaries and the current user query. This ensures the creation of meaningful, relevant, and personally oriented responses.
• Example: When the user presents specific problems or feelings, the ODAM system analyzes the received information and generates responses that not only reflect the understanding of the current state of the user but also include references to previous discussions and advice, creating a sense of continuous and consistent support.

Persistent Memory:

• One of the key aspects of ODAM is the concept of persistent memory. This means that the system is capable of saving and updating information about users over a long period, providing depth and personalization to the communication.
• Example: For a user who periodically seeks help due to experiencing a personal crisis, the system stores the entire history of previous interactions and uses this information to provide more effective support in each new session.

Optimization and Learning:

• The ODAM system is constantly updated based on user feedback and interaction analysis. This ensures not only the improvement of current responses but also adaptation to changing trends and user needs.
• Example: If it is found that users frequently ask about new meditation techniques, the system can automatically update its knowledge base to provide current and useful information in future sessions.

Security Protocols and Escalation:

• ODAM includes protocols that allow for rapid response to requests that may indicate serious psychological problems of the user. This ensures timely intervention and direction of users to professional help in crisis situations.
• Example: In case a user expresses thoughts of suicide or extreme despair, the system immediately responds to these signals and provides contacts of relevant support services, strongly recommending seeking professional help. At the same time, it continues the dialogue with the user according to protocols coordinated with medical and humanitarian organizations.

Adaptation and System Updating:

• ODAM continuously adapts to new challenges and trends in psychological assistance. Thanks to the machine learning mechanism, the system is capable of analyzing new data and trends, adapting and updating its algorithms to ensure more accurate and effective support.
• Example: In response to an increase in queries related to pandemic anxiety, ODAM updates its database to include new stress management methods, focus and concentration practices, etc., enabling the provision of current advice and strategies to users.

Practical Application in Various Fields:

• The application of ODAM extends far beyond the AI PSY HELP project. This technology can be adapted for use in other fields where personalized communication and deep understanding of user needs are important.
• Example: In the field of education, ODAM can be used to create adaptive learning systems that track students' progress and preferences, offering individual educational resources and/or conducting personalized training based on the user's preferences, interests, learning styles, and methods of assimilating educational material.
• In other areas, such as online retail, customer support, and in the development and training of AI models that "remember" their user, ODAM can be used to create deeper and individualized communication with clients, improving service quality and user satisfaction.

Examples of implementing ODAM technology within the AI PSY HELP project:

• Within AI PSY HELP, ODAM is successfully used to create unique dialogues with users, covering a wide range of psychological problems and requests, from general anxiety to specific mental disorders, working with clinical patients, domestic violence, and suicide.

Conclusions:

ODAM represents a breakthrough in AI and psychotherapy, providing new horizons for personalization and depth of dialogues. This technology demonstrates enormous potential for expanding its application beyond psychological assistance, opening up new possibilities in a variety of fields where deep understanding and individualized approach to each user are important.

All intellectual property rights, including copyrights, patents, and trademarks associated with the Ontology Driven Agent Memory (ODAM) technology as described in the AI PSY HELP project, are owned by MPT Pay LTD. This includes all aspects of the technology, its application, and any developments or iterations thereof. The protection of these rights ensures that MPT Pay LTD retains exclusive control over the use, distribution, and further development of this innovative technology.

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