Process integrated mechanisms (PIM) offer a new approach to the problem of coordinating the activity of physically distributed systems or devices. Current approaches to coordination all have well-recognized strengths and weaknesses. We propose a novel architecture to add to the mix, called the Process Integrated Mechanism (PIM), which enjoys the advantages of having a single controlling authority while avoiding the structural difficulties that have traditionally led to its rejection in many complex settings. In many situations, PIMs improve on previous models with regard to coordination, security, ease of software development, robustness and communication overhead. In the PIM architecture, the components are conceived as parts of a single mechanism, even when they are physically separated and operate asynchronously.

This is an integrative review that address the question, "What makes for a good explanation?" with reference to AI systems. Pertinent literatures are vast. Thus, this review is necessarily selective. That said, most of the key concepts and issues are expressed in this Report. The Report encapsulates the history of computer science efforts to create systems that explain and instruct (intelligent tutoring systems and expert systems). The Report expresses the explainability issues and challenges in modern AI, and presents capsule views of the leading psychological theories of explanation. Certain articles stand out by virtue of their particular relevance to XAI, and their methods, results, and key points are highlighted. It is recommended that AI/XAI researchers be encouraged to include in their research reports fuller details on their empirical or experimental methods, in the fashion of experimental psychology research reports: details on Participants, Instructions, Procedures, Tasks, Dependent Variables (operational definitions of the measures and metrics), Independent Variables (conditions), and Control Conditions.

In shows like HBO's "Westworld" and AMC's "Humans," Hollywood pits robots, with artificial intelligence, against humans. Half a century ago, a science fiction film about a space mission planted the first seeds of doubt about just how the human race could coexist with man-made sentient beings. "Consider the fictional robot HAL in '2001: A Space Odyssey,' " said Ken Ford, a computer scientist and founder and CEO of the Florida Institute for Human and Machine Cognition, in Pensacola, which has won awards for its robotics innovations. HAL eventually turned on its master in that classic film, sending shivers down the spines of moviegoers everywhere. Some of that wariness about artificial intelligence still exists, but Ford said the fear is unwarranted, and in the case of fictional robots, misplaced.

In shows like HBO's "Westworld" and AMC's "Humans," Hollywood pits robots, with artificial intelligence, against humans. Half a century ago, a science fiction film about a space mission planted the first seeds of doubt about just how the human race could coexist with man-made sentient beings. "Consider the fictional robot HAL in '2001: A Space Odyssey,' " said Ken Ford, a computer scientist and founder and CEO of the Florida Institute for Human and Machine Cognition, in Pensacola, which has won awards for its robotics innovations. HAL eventually turned on its master in that classic film, sending shivers down the spines of moviegoers everywhere. Some of that wariness about artificial intelligence still exists, but Ford said the fear is unwarranted, and in the case of fictional robots, misplaced.

This introduction focuses on how human-centered computing (HCC) is changing the way that people think about information technology. The AI perspective views this HCC framework as embodying a systems view, in which human thought and action are linked and equally important in terms of analysis, design, and evaluation. This emerging technology provides a new research outlook for AI applications, with new research goals and agendas.

The Third International Workshop on Human and Machine Cognition was held in Seaside, Florida, on 13-15 May 1993. Each paper session included presentations on cognitive research, educational research, AI theory and logic, and particular knowledge engineering projects. This mixture encouraged the participants from diverse disciplines to listen and respond to one another. These international workshops are held to allow leading scientists, scholars, and practitioners to discuss current issues and research in particular topics in AI and cognitive science.

The interdisciplinary makeup allowed for an expansion of the scope of Glymour's One notable extension was the move from android epistemology to android ethics. "they can know everything we know Margaret Boden presented her work Hayes and Ford were responding Participation was limited to 40 If the first two workshops on to the debate in Scientific American researchers selected from several disciplines human and machine cognition are (January 1990) between Searle and (principally computer science, representative, these meetings will the Churchlands about whether a philosophy, and psychology); become hotbeds of constructive and machine could think. Ironically, although this approach makes for much-needed debate. They focus on from the perspective of Hayes and stimulating discussion, it has resulted the foundational and methodological Ford, Searle and the Churchlands are in a competitive review process concerns of those who want to forge essentially in agreement, diverging (about a 10-percent acceptance rate). It is just a theories about the necessary in U.S. politics, the theme of the fact of life that there isn't much material basis (biological versus parallel) Second International Workshop on agreement about methodology and for intelligence. They both Human and Machine Cognition was, foundational issues within these two make specific implementation features What do androids know, and when fields. The positions covered One feature of the workshop that for intelligence. As might be expected, a wide range: "They can know facilitated and, at times, obstructed Paul Churchland objected to this only what androids can know: Android fruitful discussion was its highly interdisciplinary grouping.

In 1877 the Italian astronomer number of inferences about what has Program co-chairpersons are Dr. Robin Giovanni Schiaparaelli announced not changed as the result of performing Cohen of the University of Waterloo, the existence of canali on Mars: a network some action A while allowing the Bob Kass of the EDS Center for of straight and curved lines running small number of inferences about Machine Intelligence, and Cecile Paris across the planet. Canali, meaning what has changed as a result of A. of the Information Sciences Institute.