Cognitive Science Colloquia


Cognitive Science Colloquia are held* throughout the year and consist of seminars/talks given by invited speakers from various universities, as well as seminars by the METU staff or our own PhD students. The Colloquia aim to share information on cognitive science research, as well as promote academic research and collaboration. The seminars are open to anyone interested and provide an opportunity for our students to keep up with the recent research conducted in the field, allowing them to observe how research topics develop through academic exchange.

* Unless it is announced otherwise, seminars take place every Wednesday at 12:40, in the Informatics Institute (room II-03), METU.

For past years' colloquia, please visit here.

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This Year (2020-2021)

Spring Semester

A Scientific Reconstruction of Panpsychism
by Asst. Prof. Dr. Majid D. Beni (Philosophy, METU)
on 14th of April

Abstract There are two well-known arguments for panpsychism. These are arguments from intrinsic nature and argument from continuity. While the arguments have recent notable philosophical advocates, scientific grounds for their plausibility have not been explored. The talk reviews predictive processing theory under Free Energy Principle to reconstruct these arguments. It argues that to the extent that scientific grounds are at issue, there is no discontinuity between the intelligent and non-intelligent. Then substantiate this insight through a reconstruction of the argument from intrinsic nature.

Webinar Record

Passcode: 931640


Eğer BelÖ’ler Evreyse, Şimdi Ne Olacak?
by Assoc. Prof. Dr. Murat Özgen (Linguistics, Dokuz Eylül University)
on 31st of March

Abstract Öbeklerin evreliği konusundaki ilgili alanyazın öbeklerin arakesit özelliklerini ortaya çıkaran tanılar ortaya koymaktadır. Evre olarak varsayılan standart öbekler e*Ö (Chomsky 2000 ve izleyen çalışmaları), TÖ (Chomsky 2000 ve izleyen çalışmaları), BelÖ/aÖ (Chomsky 2006, Hiraiwa 2005, Marantz 2007, Ott 2008 ve Svenious 2004) ve iÖ (Abels 2003, Raposo 2002, Svenonius 2003 ve van Riemsdijk 1978) olarak biçimlenir. Bu sunuda, tartışmaya başlamadan önce Türkçedeki adcıl öbeklerin BelÖ karş. AÖ etiketlerini ele alıp Türkçede de BelÖ varsayımının geçerliğini savunacağım. Sonra, ilk olarak, BelÖ’lerin Türkçede evre olup olmadığı sorusuna yanıt arayacağım. İzleyen tartışmada, Olumsuz Kutup Birimleri’nin lisanslanması ve bağlama olgusunun adcıl öbekler içindeki görünümünü betimleyeceğim. Bu iki dilbilgisel olgunun, alanyazında eşsüremsiz dağıtım (Felser, 2004, Marušič 2008) olarak bilinen olguyla ilişkisini ele alıp sunuyu sonlandıracağım.

Webinar Record

Passcode: 2aFz+qN6


Artificial Intelligence and Intelligent Tutoring Systems
by Assoc. Dr. Meltem Eryılmaz (Computer Engineering, Atılım University)
on 24th of March

Abstract The field of Artificial Intelligence in Education (AI-ED) has become an important and challenging research area in recent years, which aims to deliver the educational knowledge-based systems to be used in actual teaching and learning. The ability of AI techniques to imitate the intelligence of human being and ability to solve complex problems makes them an ideal tool in e-learning. In order to achieve a good learning platform which has an ability to learn from uncertain, vague, and incomplete data, numerous AI techniques such as Fuzzy logic, Bayesian Networks, Artificial Neural Networks, Genetic algorithms. Intelligent Systems, Teaching Aspects, Learning Aspects, Cognitive Science, Knowledge Structure, Tools & Shells, and Interfaces are the main research areas of AI in education. The use of AI techniques in educational systems influenced the evolution from Computer Assisted Instruction (CAI) to Intelligent Tutoring Systems (ITSs). Researchers have attempted to incorporate intelligence into knowledge and problem-solving areas, as well as in tutoring students in order to create an expert learning system capable of providing individualized instruction. ITS appears in an intersection area that includes computer science, psychology, and educational research which is referred to as ʻcognitive science’.

Webinar Record

Passcode: IS78=0?3