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Cognitive Training Simulator (CTS) Disclosure Number: IPCOM000250630D
Publication Date: 2017-Aug-10
Document File: 4 page(s) / 81K

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The Prior Art Database

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Cognitive Training Simulator (CTS)


Disclosed is a Cognitive Training Simulator (CTS). The system incorporates real-time data and input information about the trainee, and then automatically generates enhancements to existing simulations and creates new simulation scenarios.

Training simulators are based on pre-defined scenarios that require routine updating. Thus, two drawbacks are inherent. First, any changes or new scenarios take substantial time to implement. Second, pre-defined scenarios limit the ability to assess trainee capability for positive and negative behaviors.

The novel solution is a Cognitive Training Simulator (CTS). The CTS addresses both problems by leveraging the powers of Cognitive Computing to auto adapt existing scenarios and auto generate new scenarios based on real time conditions and needs.

The core idea is to incorporate real-time data (e.g., actual usage/actions taken, environmental factors, new laws/regulations, airline’s knowledge base, etc.) and then automatically generate enhancements to existing simulations as well as create new simulation scenarios. In addition, CTS uses input information about the trainee to create personalized situations within the simulation. This dynamic approach facilitates user training based on the latest techniques.

An example embodiment is to apply CTS for airplane flight simulation. The CTS incorporates real-time data from actual flights with historical trends and environmental factors to provide meaningful and currently relevant training simulations. To personalize the training simulation to the trainee, the CTS introduces different variability into each simulation. For example, within the same simulation scenario, one pilot trainee is confronted with strong headwinds while another trainee experiences engine failure. Such differences would be generated The CTS generates such differences based on factors such as, but not limited to, past performance, strong and weak competency levels, psychological assessments, intelligence/problem solving assessments, and planned career growth.

The CTS automatically include new training scenarios to the training simulator based on a dynamic Knowledge base. This will allow the users to be trained based on the latest techniques for a more efficient and secure flight.

Figure 1: Dynamic Knowledge Base

The CTS automatically updates the simulator rules and settings based on current laws. Web services on the CTS connect to an internet crawler (existing technologies) that monitor some government sites (specified by the administrator) for changes in regulations and laws. For example, if a new regulation is approved to restrict flights at a given altitude, the system automatically changes the settings to comply with that rule. This ensures that pilots are trained based on the latest regulations.

Figure 2: CTS uses a web crawler to identify and then incorporate new relevant rules and regulations

The CTS automatically updates the simulator based on ne...