Compsim's patented technology focuses on the packaging of human expertise in software applications and embedded devices. Unlike other approaches like fuzzy logic and neural nets, solutions incorporating Compsim KEEL (Knowledge Enhanced Electronic Logic) technology can create explainable decisions. For example: This action was taken because.....
While other approaches may have been approached by taking computers and asking them to "think", Compsim's technology was created by evaluating how humans think and make decisions and then modeling a computer to perform the same functions. Compsim's management tools were developed to assist humans capture their knowledge and make decisions in a business environment.
| Technology Comparison | |||||
| Neural Nets | Fuzzy Logic | Bayesian Belief Nets | AI - Forward / Reverse Chaining |
KEEL | |
| General Concept | Pattern Matching | Geometric Fuzzification / Defuzzification | Probabilities of Probability | Trial and Error | Dynamic Adjustment to Importance of Data (Genetic) |
| Source of Understanding | Patterns | Human Designer | Human Designer / Statistics | Human Designer | Human Designer |
| Pattern Training Required | Major Problem | No | No | No | No |
| Explainable Decisions | No | Difficult | Difficult | Somewhat | Fully Explainable |
| Small Memory Footprint | ? | ? | ? | No | Best |
| Performance | Determined by Application | Determined by Application | Determined by Application | Worst | Determined by Application |
| Suitable for Control | Yes | Yes | Probably Not | Probably Not | Yes |
| Interactive Development | No | No | Somewhat | Partial | Yes |
| Portable Design (device, software, web) | Probably Not | Probably Not | Probably Not | Probably Not | Yes (one design, many output formats) |
| Weaknesses | Pattern Training / Surprise Information | Validated Reasoning | Statistics may not be available for non-linear systems; Difficult to explain | Fragile / Brittle - Hard to maintain | |
Compsim's technology has been embedded in a software application focused on organizations and businesses attempting to make subjective decisions. The same technology has been extended for embedding decision-making in devices. In this case, Compsim provides a KEEL Toolkit to assist in the design of thinking devices.
All of Compsim's technology is focused on subjective decision-making, where the outcome is judgmental. In these cases human expertise is captured for use. These types of problems are all "data fusion" problems, where data items are integrated into packets that are interpreted to generate knowledge (or information). Information is then used to make decisions and decisions control actions. Judgment (or expertise) is demonstrated when information is interpreted to take controlled or relative actions when information needs to be balanced against competing goals. (risks vs rewards)
In organizational decision-making, the subjective rules of the organization are utilized to facilitate the decision-making activity. All information is exposed to insure that any personal biases can be removed from the process.
In embedded decision-making the expertise of the most knowledgeable human operators or decision-makers is incorporated into the products.