Intelligent wheelchairs can help increase independent mobility for elderly residents with cognitive impairment, who are currently excluded from the use of powered wheelchairs. This paper presents three case studies, demonstrating the efficacy of the NOAH (Navigation and Obstacle Avoidance Help) system. The findings reported can be used to refine our understanding of user needs and help identify methods to improve the quality of life of the intended users.

The theme of this article is the dynamics of evolution of agents. That theme is applied to the evolution of constraint satisfaction, of agents themselves, of our models of agents, of artificial intelligence and, finally, of the Association for the Advancement of Artificial Intelligence (AAAI). The overall thesis is that constraint satisfaction is central to proactive and responsive intelligent behavior.

The theme of this article is the dynamics of evolution of agents. That theme is applied to the evolution of constraint satisfaction, of agents themselves, of our models of agents, of artificial intelligence and, finally, of the Association for the Advancement of Artificial Intelligence (AAAI). The overall thesis is that constraint satisfaction is central to proactive and responsive intelligent behavior.

As our world becomes smaller, scientific communities are becoming increasingly international. National scientific societies are evolving to serve their international constituencies, and in doing so, have come to reconsider their roles, their purposes, their images, their identities, their "branding," and, consequently, their names. This is such an occasion for AAAI as it embarks on its second quarter century.

National scientific societies removes potential limitations imposed by the are evolving to serve their international old name as we move forward in an increasingly constituencies, and in doing so, have come to global scientific environment. We have reconsider their roles, their purposes, their consulted with many of our sibling AI societies. This is such an of our activities as a consequence of the occasion for AAAI as it embarks on its second name change. The proposal initially received enthusiastic AAAI's membership has strong international support from the AAAI Executive Council (una - representation. The same is true of the contributors nimous with one abstention), and the Strategic to, and attendees of, AAAI, and AAAIsponsored, Planning Committee, consisting of all past conferences, symposia, tutorials, presidents and current presidential officers of and workshops.

Artificial intelligence (AI), on the 50th anniversary of its naming, is an autonomous discipline. The field has an established record of success, as exemplified by three recent achievements presented at AAAI-06/IAAI-06. It is now mature enough to collaborate productively with its sister disciplines, realizing the dream of ubiquitous computational intelligence.

It is now mature enough to collaborate of a cybernetic meadow productively with its sister disciplines, where mammals and computers realizing the dream of ubiquitous computational live together in mutually intelligence. Several of AI's subdisciplines have wellestablished of our field, at Dartmouth College in 1956, is a They are practitioners while most of our failures are along the lines of achieving successful results later than of Kuhn's "normal" science--filling in boxes we had predicted in our youthful exuberance. Many of the philosophers who lectured us on Other parts of our field seem to be in a what we would never be able to achieve have state of perpetual revolution. Perhaps most gone strangely silent. All this struggle and cybernetics and pattern recognition; however, debate demonstrates the health of the field.

AI and AAAI are coevolving. As AI matures, its focus is shifting from inward-looking to outwardlooking. Some of the new concerns of the field are social awareness, networking, cross-disciplinarity, globalization, and open access. AAAI must reflect and support those concerns. AI is now a mature discipline.

"A program that achieves the interpretation of line drawings as polyhedral scenes is described. The method is based on general coherence rules that the surfaces and edges must satisfy, thereby avoiding the use of predetermined interpretations of particular categories of picture junctions and corners." The paper also comments on the relationship of this program to four other scene analysis programs.In IJCAI-73: THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 20-23 August 1973, Stanford University Stanford, California. Revised version in Artificial Intelligence 4:121-137.