From Locke's Tabula Rasa to the Freudian take on consciousness and homeostasis within behavioral drives; and from Watson's behaviorism to the neurosciences, behavior has historically been characterized in somewhat different and conflicting ways.
Most would agree, however, that behavior is the product of an interaction between the environment and the semblance of one's cognitive and affective functioning... as we understand those constructs. Behavior represents our relationship with the world around us from the least to most significant interaction.
We see behavior as a complex interaction where neurobiological drives are mirrored in the drives found in the resulting behavior. How variables and their elements interact during behavioral progressions is a primary focus of ours.
The result of this effort is a complex yet easily used clinical tool-chest that enables AI technology through the collection and analysis of big data. But is it evidence-based? Artificial Intelligence and Behavior Replication Solution (AIBRS) is a paradigm-resistant program that collects and analyzes data, in part, as an effort to adapt and improve. Evidence-based programs are based on the results from research projects with strict design elements that are both necessary and limiting in that they target a small slice of any given problem and/or solution.
AIBRS goes well beyond the current evidence-based paradigm. We include the research in defining our protocols and we analyze data from every interaction scored. Every process, element and result is tested and available for further analysis. Providing and acting upon evidence is the foundation of AIBRS.
It is our thought that AIBRS will eventually redefine the evidence-based paradigm as it becomes faster and more inclusive. As a collective, we have all learned, in past decade, that there are many ways in which to positively impact brain function and what is not considered an evidence-based treatment today may be included as such tomorrow.
The AIBRS protocol has the potential to support research through the supply of big data that, to date, best represents the totality of the behavioral process.
AIBRS represents a program that defines, collects, scores and analyses targeted, energic drives, as data, to be processed in such a manner as to provide behavioral probabilities that learn to imitate the result of neurobiological activity in the formation of behavior as it occurs individually or as a connected group.
Collecting data is a primary initiative aided by the outcome tools that we offer. Analysis includes algorithms that combine variables to calculate psychological performance at any given instant or over time. One overriding goal is to mimic behavioral progressions within AI through algorithms and statistical analysis. Another is to combine this technology with developed AI systems that can interpret the environment and elicit automatic, cognitive/affective responses from AIBRS.
The variables are inclusive of all known strengths and limitations within affective/cognitive functioning, all known environmental impacts, and those cognitive skills that are shown, through research, to benefit psychological performance.
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