How can we help your organization?

An artificial intelligent solution should be able to solve problems, make decisions and reason even if data are missing, even if, within a specific context, the current situation is not perfect or not well defined, it should be able to understand what is going on, it should be able to take care of your needs, your motivations and satisfy you by adapting itself to the context and to what really matters to you.

Linking together all mental activities and cognitive processes that humans have, we created a functional architecture which we enhanced by adding core psychological features such as needs, judgement, satisfaction, motivation and attitudes, making sure that information is processed by machines in a natural way. Using our smart neuron software component, we created a virtual brain (runs on Linux), a kind of conceptual model of a specific context able to manipulate related symbolic information, providing to artificial intelligent machines a warm heart, making machines able to understand what is happening and adapt their behavior towards the desired outcome. This is how we make machines aware.

Our Cognitive and Psychological Functional Architecture

We have made artificial core human cognitive processes and psychological features with the intent to make AI solutions able to understand what is happening, able to think and adapt their behaviors based on the context where they operate.

The purpose of our methodology is to identify improvement areas and propose enhancements by adding human cognition and psychological features. The diagnosis stage and the planning stage are assessing the psychological maturity of current solutions and propose modernization areas, the psychological stage is performed to specify how to make AI solutions aware and the AI prototype stage is defining functional specifications and supporting algorithms.

4 stages of our methodology

During the first two stages, our intent is to reuse existing software components and adapt and configure them to enable AI. For all improvement opportunities, we will help you to identify impacted processes and activities, identify transformation areas where AI could be applied and decide what to do. Then, we will fine tune or modify the current process to become more efficient or replace the current process by an Artificial Intelligent solution. In some cases, we could decide to remove the current process. We are now able to work to provide input for your business case, plan the journey and define your Roadmap

Our AI Maturity Model

During the Psychological Study Stage, we will define your AI by understanding the context and how the AI engine should operate by defining the contextual semantic network and involved objects and their properties (descriptive, functional & dynamical). Next, we will define all possible paths leading to the expected outcome and identify possible expert paths within this space. All this will define the problem space. Once this is done, we will understand how to reason, judge and take decisions by defining reasoning steps and decision making gates, define data needed to decide how to take care of alternatives and define conditions used to measure the attractiveness of possible choices. The final step will make it possible to define the data structure and prepare the VirtualBrain.

Example of a problem space

Then we need to include Human Needs & Define AI contextual behavior by identifying involved human needs (Identify triggered Primary and secondary needs) and Map identified needs and configure them. Then we need to identify related information & update learning / intention, review the action cycle parameter and do contextual updates and define expected attitudes (AI behavior) for all involved needs. Then, we will configure Psychological features, set satisfaction, judgement & motivation criteria and define supporting reasoning & decision making steps. The final step will be to confirm expected AI behavior by conduct interviews and update component configuration, action cycle, attitudes, psychological features & supporting cognitive processes.

Our Delivery Methodology

All this work, done with our consultants, will then serve as an input to build your AI engines. You can, if you want, use our VirtualBrain or SmartNeuron components but this is not mandatory.

We are happy to provide you with more details about our consulting services. We will help your team and bring following area of expertise.

Psychology / Mental Processes: Association, Judgement, Attitudes, Communication, Interaction, Needs, Motivation, Satisfaction, Perception, Memory, Recognition, Acquisition, Classification, Learning, Categorization, Semantic Network.

Cognition: Representation, Understanding, Reasoning, Decision Making, Problem Solving.

Design of AI Solutions: Ethics, Ergonomics, Psychophysiology, Neurobiology, Nervous system, Endocrine system, Physiology, Sensorial Treatment, Experimentation, Observation, Collect Verbal answers, Investigation, Questionnaire (Open-ended, Closed-ended), Interview, Test, Psychophysical Methods, Conception of AI algorithms and engines (Technical Part).

Supporting Businesses: Context assessment, maturity model for AI, support to define business cases, business process rationalization and modernization, cognitive roadmap and trainings on human cognition.

We also have a dedicated one day training on how to bring human cognition to artificial intelligence.