AIM: Designing a language for AI models

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

TELOS, A Language for Building Well-Structured AI Models

TELOS is an attempt to provide powerful abstraction mechanisms and other structuring facilities within a language that provides the special capabilities needed for AI research. TELOS includes PASCAL as a subset and also is implemented in PASCAL. A full description is available in [1] and [2], Like most other AI languages, TELOS includes facilities needed for experimentation with large stores of...

Designing Learner Models for Intelligent Language Tutors

Implications for developing a Collaborative Designing AI

Œis paper introduces a framework for creating collaborative designing systems (CDS) from an interaction design perspective. Previous research on arti€cial intelligence (AI) is mainly focused on recognizing the designer’s intent and combinatorial problem-solving. In contrast, this framework uses an interaction design perspective on collaboration, a process that enables groups to combine skills, ...

Can AI Models Capture Natural Language Argumentation?

Formal AI models of argumentation define arguments as reasons that support claims (which may be beliefs, decisions, actions, . . .). Such arguments may be attacked by other arguments. The main issue is then to identify the accepted ones. Several semantics were thus proposed for evaluating the arguments. Works in linguistics focus mainly on understanding the notion of argument, identifying its t...