About Us
The Freudian Paradox, is a Cognitive Science club dedicated to ideas of Analytical Psychology and Mathematical Philosophy.
With the advent and rapid growth in AI, students tend to find their interest in developing DNN structures and AI algorithms to deal with real world problems, however with this growth, combining ideas of consciousness with AI driven systems has taken a recent upsurge, which isn't taught in any of the courses offered. The club will encourage students, to study cognitive psychology and philosophy and how aspects of consciousness and cognition can be implemented in AI models. Students pursuing MBA/Economics, they are very much inclined towards studying marketing strategies, at the macro and micro level, again none of them taking aspects of behavioral economics into account, which the club will try to inculcate among the students. It does not stay limited to departments as CSE, CA or MBA, but it being a philosophy and psychology club, it will stay as an free thought club, where people with thought can contribute their ideas, whether it be from humanities department, linguistic department, mathematics dept. or others. Creating one of the first institution recognized clubs in the country to promote the study of Sexuality. Creating a safe space in the institution for people belonging to LGBTQ+ communities. |
Aim Of The Club
The Freudian Paradox brings together thinkers from around the campus who hold a common goal: understanding the nature of the human mind. The mission of the Club is to promote Cognitive Science as a discipline, and to foster scientific interchange among members in various areas of study, including Artificial Intelligence, Linguistics, Anthropology, Psychology, Neuroscience, Philosophy, and Education. The Society is a non-profit professional organization and its activities include sponsoring an annual conference and publishing the journals Cognitive Science and Topics.
What is Cognitive Science?
Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology.
Cognitive science has unifying theoretical ideas, but we have to appreciate the diversity of outlooks and methods that researchers in different fields bring to the study of mind and intelligence. Although cognitive psychologists today often engage in theorizing and computational modeling, their primary method is experimentation with human participants.
To complement psychological experiments on deductive reasoning, concept formation, mental imagery, and analogical problem solving, researchers have developed computational models that simulate aspects of human performance. Designing, building, and experimenting with computational models is the central method of artificial intelligence (AI), the branch of computer science concerned with intelligent systems. Ideally in cognitive science, computational models and psychological experimentation go hand in hand, but much important work in AI has examined the power of different approaches to knowledge representation in relative isolation from experimental psychology.
The central hypothesis of cognitive science is that thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures. While there is much disagreement about the nature of the representations and computations that constitute thinking, the central hypothesis is general enough to encompass the current range of thinking in cognitive science, including connectionist theories which model thinking using artificial neural networks.
Cognitive science has unifying theoretical ideas, but we have to appreciate the diversity of outlooks and methods that researchers in different fields bring to the study of mind and intelligence. Although cognitive psychologists today often engage in theorizing and computational modeling, their primary method is experimentation with human participants.
To complement psychological experiments on deductive reasoning, concept formation, mental imagery, and analogical problem solving, researchers have developed computational models that simulate aspects of human performance. Designing, building, and experimenting with computational models is the central method of artificial intelligence (AI), the branch of computer science concerned with intelligent systems. Ideally in cognitive science, computational models and psychological experimentation go hand in hand, but much important work in AI has examined the power of different approaches to knowledge representation in relative isolation from experimental psychology.
The central hypothesis of cognitive science is that thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures. While there is much disagreement about the nature of the representations and computations that constitute thinking, the central hypothesis is general enough to encompass the current range of thinking in cognitive science, including connectionist theories which model thinking using artificial neural networks.