Aided diagnosis of structural pathologies with an expert system

Sustainability and safety are social demands for long-life buildings. Suitable inspection and maintenance tasks on structural elements are needed for keeping buildings safely in service. Any malfunction that causes structural damage could be called pathology by analogy between structural engineering and medicine. Even the easiest evaluation tasks require expensive training periods that may be shortened with a suitable tool. This work presents an expert system (called Doctor House or DH) for diagnosing pathologies of structural elements in buildings. DH differs from other expert systems when it deals with uncertainty in a far easier but still useful way and it is capable of aiding during the initial survey 'in situ', when damage should be detected at a glance. DH is a powerful tool that represents complex knowledge gathered from bibliography and experts. Knowledge codification and uncertainty treatment are the main achievements presented. Finally, DH was tested and validated during real surveys.Peer ReviewedPostprint (author's final draft

Knowledge-based diagnosis for aerospace systems

The need for automated diagnosis in aerospace systems and the approach of using knowledge-based systems are examined. Research issues in knowledge-based diagnosis which are important for aerospace applications are treated along with a review of recent relevant research developments in Artificial Intelligence. The design and operation of some existing knowledge-based diagnosis systems are described. The systems described and compared include the LES expert system for liquid oxygen loading at NASA Kennedy Space Center, the FAITH diagnosis system developed at the Jet Propulsion Laboratory, the PES procedural expert system developed at SRI International, the CSRL approach developed at Ohio State University, the StarPlan system developed by Ford Aerospace, the IDM integrated diagnostic model, and the DRAPhys diagnostic system developed at NASA Langley Research Center

Abstract State Machines 1988-1998: Commented ASM Bibliography

An annotated bibliography of papers which deal with or use Abstract State Machines (ASMs), as of January 1998.Comment: Also maintained as a BibTeX file at http://www.eecs.umich.edu/gasm

Dimensions of Neural-symbolic Integration - A Structured Survey

Research on integrated neural-symbolic systems has made significant progress in the recent past. In particular the understanding of ways to deal with symbolic knowledge within connectionist systems (also called artificial neural networks) has reached a critical mass which enables the community to strive for applicable implementations and use cases. Recent work has covered a great variety of logics used in artificial intelligence and provides a multitude of techniques for dealing with them within the context of artificial neural networks. We present a comprehensive survey of the field of neural-symbolic integration, including a new classification of system according to their architectures and abilities.Comment: 28 page

The High Water Mark of Social History in Civil War Studies

Just hours before the Army of Northern Virginia raised the white flag at Appomattox Court House, Confederate Colonel Edward Porter Alexander approached his commanding officer, Robert E. Lee, with what he hoped was a game-saving plan. Rather than suffer the mortification of surrendering, Alexander begged Lee to scatter his men across the countryside like “rabbits & partridges” where they could continue waging war, not as regular Confederate soldiers, but as elusive guerrilla fighters. Lee listened patiently to his subordinate’s reasoning for irregular warfare. Before Alexander finished, he reminded Lee that the men were utterly devoted to their commanding general, and that such loyalty would continue to inspire the sacrifice of more blood, even if it meant taking to the woods and fighting like common outlaws. When Alexander concluded his impassioned plea, Lee asked his subordinate to imagine what would happen if he turned Alexander’s suggestion into official policy. But before Alexander had a chance to respond, Lee reminded him that virtually every Southern community had been overrun by Union armies, that farms were in disarray, and that crops were ruined. Lee feared that his veterans, upon returning home, would have no choice but to plunder and rob for survival. It would take no time for his disciplined army to descend into a demoralized mob that would take the rest of the South into a downward spiral of unending and unrestrained violence. “As for myself,” Lee concluded, “while you young men might afford to go to bushwhacking, the only proper & dignified course for me would be to surrender myself & take the consequences of my actions.” [excerpt

Public Trust in Science: Exploring the Idiosyncrasy-Free Ideal

What makes science trustworthy to the public? This chapter examines one proposed answer: the trustworthiness of science is based at least in part on its independence from the idiosyncratic values, interests, and ideas of individual scientists. That is, science is trustworthy to the extent that following the scientific process would result in the same conclusions, regardless of the particular scientists involved. We analyze this "idiosyncrasy-free ideal" for science by looking at philosophical debates about inductive risk, focusing on two recent proposals which offer different methods of avoiding idiosyncrasy: the high epistemic standards proposal and the democratic values proposal