In Dung-style argumentation [3] an argumentation framework (AF for short) is usually assumed to be static. There are, however, many scenarios where argumentation is a dynamic process: Agents may learn that an AF must have a certain outcome and may learn about new arguments/attacks. We address these issues by answering the following research questions: How can we model an agent’s belief about th...

This sequential explanatory mixed methods design study aimed to investigate the beliefs of English Language Teaching (ELT) prospective teachers about using target language (L2) at macro and micro-levels in as a foreign (EFL) classrooms addition some scaffolding strategies minimize their native (L1) use. Furthermore, whether being experienced teaching abroad made differences (PTs) were examined....

The challenge we address is to create autonomous, inductively learning agents that exploit and modify a knowledge base. Our general approach, embodied in a continuing research program (joint with Stuart Russell), is declarative bias, i.e., to use declarative knowledge to constrain the hypothesis space in inductive learning. In previous work, we have shown that many kinds of declarative bias can...