This special issue is based on the premise that in order to achieve human-level artificial intelligence researchers will have to find ways to integrate insights from multiple computational frameworks and to exploit insights from other fields that study intelligence. Articles in this issue describe recent approaches for integrating algorithms and data structures from diverse subfields of AI. Much of this work incorporates insights from neuroscience, social and cognitive psychology or linguistics. The new applications and significant improvements to existing applications this work has enabled demonstrates the ability of integrated systems and research to continue progress towards human-level artificial intelligence. However, we believe that progress towards human-level artificial intelligence and the applications it enables requires a deeper and more comprehensive understanding that cannot be achieved by studying individual areas in isolation.

I am pleased to present this issue, most of which is devoted to a single subject-Spatial Reasoning. Our guest editor is Avi Kak, of Purdue University. Avi called me in the Summer of 1987, very enthused about a workshop he had recently attended. The idea of a "theme issue" on spatial reasoning sounded like a winner to me. I asked Avi to take the responsibility for selecting and editing the articles, and he agreed.

We are delighted to announce the continuation of the cooperative effort with AI Journal, giving unlimited access to the online version of the Artificial Intelligence Journal to all regular AAAI members. AAAI regular members can view and browse tables of contents, view articles published in recent issues of AI Journal, and utilize the current features available through Elsevier's electronic journal service. They may also view, print and/or download excerpts of reasonable quantity, provided that the use of such excerpts is personal and does not amount to or result in commercial distribution. Complete details were mailed to all regular members in good standing in January. If you have forgotten your membership number or need instructions, please write to us at membership04@aaai.org.

Workshop Report The 1994 Workshop on Case-Based Reasoning (CBR) focused on the evaluation of CBR theories, models, systems, and system components. The CBR community addressed the evaluation of theories and implemented systems, with the consensus that a balance between novel innovations and evaluations could maximize progress. The 4 invited talks, 14 paper presentations, 19 poster presentations, and 1 summary panel discussion were attended by 66 participants. The four invited speakers discussed how CBR approaches can be evaluated in research projects, industrial applications, and military tasks. Katia Sycara (Carnegie Mellon University [CMU]) outlined an exhaustive set of measures for evaluating CBR systems and discussed how she applied some of these measures in empirical comparisons with other approaches for solving job shop scheduling problems.

"This comprehensive collection of essays presents the state of the art on this fascinating and challenging research topic. I recommend it to anyone who wants to understand how and why computers will eventually understand what it feels like to have a bad day at the office." Prices subject to change without notice. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science.

Electronic Versions of ALL AAAI Proceedings are Now Available! This year's theme was bridging theory and practice: theorybased practical implementations and commercial applications. In keeping with this theme, part of the symposium focused on demonstrations of unique and innovative AI applications. There were 24 half-hour contributed talks and the following four 1-hour invited lectures: Reid Simmons (Carnegie Mellon University) presented "Creating Reliable Autonomous Systems," which featured monitoring and error recovery and formal verification techniques for intelligent systems. The Bar Ilan Symposia on the Foundations of Artificial Intelligence are a series of research meetings held in Israel every two years.

He noted the shared interest of the members of this community in studying high-level cognition, structured representations, comprehensive system development, heuristics, and openness to insights into human cognition. The developments of the last five years warrant a new look at the issues. The five thematic articles in this issue offers such a look. The contributions are diverse and cover a representative -- though by no means a complete -- set of issues and opinions. Sergei Nirenburg's introductory essay offers a bird's eye view of the current directions of research in the field and suggests some aspirational issues that need attention for the cognitive systems community to make a lasting impact.

Many recent technological advances have helped to pave the way forward for fully autonomous vehicles. This special issue explores three aspects of the self-driving car revolution: a historical perspective with a focus on perception for autonomous vehicles, how government policy will impact self-driving cars technically and commercially, and how cloud-based infrastructure plays a role in the future.

"What are the best books to Learn Data Science?" We looked at 153 of the top books, aggregating and ranking them so we could answer that very question!

Prince Harry and a robot have been announced as two guest editors on Radio 4's Today Programme.