Personality Engines – Meta-Guide.com

Notes:

Personality engineering is the process of designing and implementing the personality of an artificial intelligence (AI) system or chatbot. Personality engines are software systems that are designed to simulate the personality of a human or other entity, and they are often used in the development of AI systems and chatbots.

Personality engines can be used to give an AI system or chatbot a “voice” and a distinct personality, which can make it more engaging and human-like in its interactions with users. This can be particularly useful in chatbots, which often rely on text-based communication and can benefit from having a distinct and engaging personality.

There are many factors that can be considered when designing the personality of an AI system or chatbot, including the tone and style of communication, the level of formality, and the type of personality traits that the system should exhibit.

For example, an AI system or chatbot that is designed to assist customers in an online store might have a friendly, helpful personality, while an AI system that is used for financial planning might have a more serious, professional personality.

There are several approaches that can be used to generate behavior in personality engines:

Rule-based: In this approach, specific rules are defined that dictate how the AI system or chatbot should behave in different situations. For example, a rule might specify that the system should respond with a specific message if it receives a certain type of input from a user.
Machine learning: In this approach, the AI system or chatbot is trained on a dataset of example behaviors, and it uses this training data to generate new behaviors on its own. For example, a chatbot might be trained on a large dataset of conversation transcripts, and it can then generate appropriate responses to new inputs based on the patterns it learned from the training data.
Hybrid: Some personality engines use a combination of rule-based and machine learning approaches to generate behavior. For example, a system might use rules to determine the general structure of a response, and then use machine learning to fill in the specific details of the response.

Resources:

personalityforge.com .. build your own chatbots

Wikipedia:

References:

Personality AI Development (2018)
NPCs as People, Too: The Extreme AI Personality Engine (2016)
Personality in Speech: Assessment and Automatic Classification (2015)
A Survey of Personality Computing (2014)
Personality Capture and Emulation (2014)
Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text (2007)
Toward a Myers-Briggs type indicator model of agent behavior in multiagent teams (2011)
Toward a Myers-Briggs Type Indicator Model of Agent Behavior (2010)
Designing artificial personalities using jungian theory (2004)
Getting Personal with Computers: How to Design Personalities for Agents (1999)
Personality Engineering: Applying Human Personality Theory to the Design of Artificial Personalities (1995)