From 99498e96708e766bf128869ef3a326316d32d0ee Mon Sep 17 00:00:00 2001 From: Likan Zhan Date: Fri, 20 Dec 2024 12:55:17 +0100 Subject: [PATCH] Update about-en.md --- content/en/about-en.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/en/about-en.md b/content/en/about-en.md index 391b0da..a7af0d6 100644 --- a/content/en/about-en.md +++ b/content/en/about-en.md @@ -3,7 +3,7 @@ format: html: default --- -Zhan Likan is an associate professor at Beijing Language University and a visiting scholar at the department of mathematics, Linnaeus University. He has led a project funded by the National Social Science Fund, published a monograph and 14 papers in SSCI or SCIE journals. +Zhan Likan is an associate professor at Beijing Language University and a visiting scholar at the department of mathematics, Linnaeus University. He has led a project funded by the National Social Science Fund, published a monograph and 15 papers in SSCI or SCIE journals. One of his interestes lies in "the uniqueness of human cognition compared to other animals" and its related developmental disorders. One important manifestation of human uniqueness compared to other animals is the ability to represent displacement information. This ability can be demonstrated in many traditional subfields such as perception, language, and social cognition, all of which fall within his research scope. @@ -17,4 +17,4 @@ After graduation, I joined Beijing Language and Culture University in 2014 as a One important aspect that outperforms humankind from other animals is that human language can represent information that is not here and now, i.e., displacement. Displacements are representations referring to the past, to the future, to the events that do not exist in reality, or to a person's belief and aim, etc. My current research pursues are in these directions. First, predictive processing. One important reason that human can efficiently comprehend the fast ongoing auditory language input is that they can preprocess the information that has not yet been but is logically possible to be encountered, i.e., predictive processing. Second, irrealis. Irrealis is a marked way that human language uses to express displacement. Disjunctives, conditionals, and epistemic modals are among those linguistic markers that signify irrealis. Third, theory of mind. Other person's or even oneself's internal states, such as beliefs, intents, desires, emotions, knowledge, etc., i.e., theory of mind, are also the information that cannot be directly sensed. Effectively taking other's belief into consideration is important both for social interaction and for language comprehension. -My way to pursue these topics can be described from different perspectives. From the perspective of theoretical issues, I will stress their status in and their relation to logic, analytic philosophy, reasoning, and rationality. From the perspective of research participants, I will continue with typical developed adults, and gradually extend to typical and atypical developing children. If conditions permit, I will also compare human and animals to find the uniqueness of humankind. From the perspective of research methods, I'll continue to use the behavioral and eye-tracking techniques that I'm familiar with. I am also planning to introduce new techniques that are appropriate to the research topics, such as computational modeling, machine learning, neurophysiological (e.g., EEG/MEG), or neuroimaging (e.g., fMRI) techniques etc. --> \ No newline at end of file +My way to pursue these topics can be described from different perspectives. From the perspective of theoretical issues, I will stress their status in and their relation to logic, analytic philosophy, reasoning, and rationality. From the perspective of research participants, I will continue with typical developed adults, and gradually extend to typical and atypical developing children. If conditions permit, I will also compare human and animals to find the uniqueness of humankind. From the perspective of research methods, I'll continue to use the behavioral and eye-tracking techniques that I'm familiar with. I am also planning to introduce new techniques that are appropriate to the research topics, such as computational modeling, machine learning, neurophysiological (e.g., EEG/MEG), or neuroimaging (e.g., fMRI) techniques etc. -->