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Personality: When a computer user mindlessly creates a personality for a computer based on verbal or paraverbal cues in the interface. For example, research from 1996 and 2001 found people with dominant personalities preferred computers that also had a 'dominant personality'; that is, the computer used strong, assertive language during tasks.
Lee Ji-yeon (Korean: 이지연; born February 18, 1984), known professionally as Lina (린아), is a South Korean singer and musical theatre actress. She was a part of the short-lived Korean R&B duo Isak N Jiyeon during 2002. After the duo disbanded in 2004, Lina eventually became a member of girl group The Grace in 2005.
The Laning and Zierler system was the first programming language to parse algebraic formulae. When Hopper became aware of that language in 1954, it altered the trajectory of her work. [ 4 ] FLOW-MATIC was the first programming language to express operations using English-like statements . [ 3 ]
A computer running a program: the symbols and expressions are data structures, the process is the program that changes the data structures. The physical symbol system hypothesis claims that both of the following are also examples of physical symbol systems: Intelligent human thought: the symbols are encoded in our brains. The expressions are ...
In 1998 Feigenbaum was an Invited Speaker of the International Congress of Mathematicians in Berlin. [5] In 2001 she became a fellow of the Association for Computing Machinery for her "foundational and highly influential contributions to cryptographic complexity theory, authorization and trust management, massive-data-stream computation, and algorithmic mechanism design."
A computational model uses computer programs to simulate and study complex systems [1] using an algorithmic or mechanistic approach and is widely used in a diverse range of fields spanning from physics, [2] engineering, [3] chemistry [4] and biology [5] to economics, psychology, cognitive science and computer science. [1] The system under study ...
Rule-based machine learning (RBML) is a term in computer science intended to encompass any machine learning method that identifies, learns, or evolves 'rules' to store, manipulate or apply. [ 1 ] [ 2 ] [ 3 ] The defining characteristic of a rule-based machine learner is the identification and utilization of a set of relational rules that ...
The symbol grounding problem is a concept in the fields of artificial intelligence, cognitive science, philosophy of mind, and semantics.It addresses the challenge of connecting symbols, such as words or abstract representations, to the real-world objects or concepts they refer to.