Research into the use of diagrams is an interdisciplinary endeavour, encompassing
disciplines as diverse as psychology, architecture and artificial intelligence. It is also a …

Six characteristics of effective representational systems for conceptual learning in complex
domains have been identified. Such representations should:(1) integrate levels of …

The representational epistemic approach to the design of visual displays and notation
systems advocates encoding the fundamental conceptual structure of a knowledge domain …

This paper presents a taxonomy of 19 cognitive criteria for judging what constitutes effective
representational systems, particularly for knowledge rich topics. Two classes of cognitive …

Efficient constructive heuristics have been designed for most of the difficult combinatorial
optimisation problems. Performance of these heuristics may vary from one instance to …

In this paper we propose a neighbourhood structure based on sequential/cyclic moves and
a cyclic transfer algorithm for the high school timetabling problem. This method enables …

This chapter presents the Representational Epistemic (REEP) approach to understanding
and designing representations for complex problem domains. It considers the challenges to …

Access control (AC) policy creation and implementation is challenging because of its
complex structure and specifications. This paper explores the potential of two novel …

How should problem-solving representations for complex knowledge domains be
designed? Traditional approaches typically address the problem of semantic complexity by …

Feynman Diagrams are an indispensable and powerful tool in particle physics. They
effectively support comprehension and computation in quantum electrodynamics (QED), and …