Pattern Recognition Model of Cognitive Science and Philosophy of Mind Gilberto de Paiva 1 1 Independent Researcher M.S. in Physics from University of Sao Paulo – Brazil gilbertodpaiva@gmail.com Abstract. This paper proposes the concept of Pattern Recognition as a key principle to Cognitive Science and Philosophy of Mind. To solve central gaps on the field a physical definition of the Pattern Recognition concept is given to describe the primitive cognitive functions as physical quantities variations. It is proposed also a model on how any cognitive function can be described from simple physical systems to complex neurological or computational systems. The model presented describes basic cognitive functions like instincts and learning and proposes unambiguous definitions of difficult Philosophy of Mind concepts like consciousness. Applications to current Artificial Intelligence, Neuroscience and Philosophy are discussed. 1. Introduction The cognitive science lacks one standard formulation to address the core philosophy of mind issues, despite been strongly founded on the connectionist and computational models. The concepts of processing, memory and learning consists the basic cognitive functions both in neural and computational models, but they are not clearly accepted as a set of primitive cognitive principles or functions. This article proposes the primitive concept of pattern recognition to solve this gap by identifying it's equivalency to proposed concepts as pattern processing and learning, building a complete explanatory model of the mind functioning. The paper starts arguing that the concept of pattern recognition in cognitive science as a key principle is actually underestimated. Then proposes that the mathematical view of pattern recognition concept can be equivalently defined as physical quantities changes and so directly related to physical systems, interactions, activities and mechanisms. This relates the primitive cognitive functions to the physical formalism, and can be the foundation for modeling any cognitive function as a pattern recognition mechanism. Following is proposed a pattern recognition description of some primitive cognitive concepts like instinct, processing and learning. A basic unsupervised learning model is proposed, where the learning conditions are instincts (instinct patterns). A key proposal of this work is one unambiguous definition of the consciousness concept as a simple pattern recognition process. This theoretical proposal can be applied to the current artificial intelligence, neurobiology and psychology, been a solution to the core issues in philosophy of mind. A deep philosophical proposal introduced in this work is that every human concept is a set of patterns, and if so, the natural mechanisms to operate concepts are pattern recognition functions and mechanisms. A complementary chapter of argumentation and discussion is given at section 6. shortening the main presentation of this article to the core proposal. 1