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A juridical person is a legal person that is not a natural person but an organization recognized by law as a fictitious person such as a corporation, government agency, non-governmental organisation, or international organization (such as the European Union).
A juridical or artificial person (Latin: persona ficta; also juristic person) has a legal name and has certain rights, protections, privileges, responsibilities, and liabilities in law, similar to those of a natural person. The concept of a juridical person is a fundamental legal fiction. It is pertinent to the philosophy of law, as it is ...
Legal psychology is a field focused on the application of psychological principles within the legal system and its interactions with individuals. Professionals in this area are involved in understanding, assessing, evaluating potential jurors, investigating crimes and crime scenes, conducting forensic investigations The term "legal psychology" distinguishes this practical branch of psychology ...
Tax protesters, "commercial redemption" and "get out of debt free" scams claim that one's debts and taxes are the responsibility of the strawman and not of the real person. They back this claim by misreading the legal definition of person and misunderstanding the distinction between a juridical person and a natural person. [4] [5]
Deep learning is a type of machine learning that runs inputs through biologically inspired artificial neural networks for all of these types of learning. [ 48 ] Computational learning theory can assess learners by computational complexity , by sample complexity (how much data is required), or by other notions of optimization .
Computational cognition (sometimes referred to as computational cognitive science or computational psychology or cognitive simulation) is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments. In psychology, it is an approach which develops computational models ...
The theory of artificial psychology does not address the specifics of what those levels may be, but only that the level is sufficiently complex that the intelligence cannot simply be recoded by a software developer, and therefore dysfunctionality must be addressed through the same processes that humans must go through to address their own ...
Soar [1] is a cognitive architecture, [2] originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of ...