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CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation [chapter]

Atılım Güneş Baydin, Ramon López de Mántaras, Simeon Simoff, Carles Sierra
2011 Lecture Notes in Computer Science  
We implement a case based reasoning approach to mediation integrating analogical and commonsense reasoning components that allow an artificial mediation agent to satisfy requirements expected from a human  ...  The analogical reasoning component, employing the Structure Mapping Theory from psychology, provides a flexibility to respond innovatively in unusual circumstances, in contrast with conventional approaches  ...  Lastly, it would be certainly interesting to see our integration of structure mapping and commonsense reasoning in a CBR framework applied to problem domains other than mediation. commonsense knowledge  ... 
doi:10.1007/978-3-642-23291-6_28 fatcat:gtwy33auwva3nmfdnp6rwr5ufu

Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts

Michał Araszkiewicz, Agata Łopatkiewicz, Adam Zienkiewicz, Tomasz Zurek
2015 The Scientific World Journal  
In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains.  ...  Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise.  ...  To provide users with an explanation of outputs that simulates the reasoning of an actual lawyer or mediator, certain heuristics should be applied to provide defeasible rules interpreting this concept  ... 
doi:10.1155/2015/985425 pmid:26495435 pmcid:PMC4606131 fatcat:rq5avbwkybcunjjtbr5k2nud5m

Case-based reasoning systems: from automation to decision-aiding and stimulation

S. Dutta, B. Wierenga, A. Dalebout
1997 IEEE Transactions on Knowledge and Data Engineering  
The major characteristics of each type of CBR system are explained with a particular focus on decision-aiding and stimulative CBR systems.  ...  Over the past decade, case-based reasoning (CBR) has emerged as a major research area within the artificial intelligence research field due to both its widespread usage by humans and its appeal as a methodology  ...  Specialized knowledge, both commonsense and causal, about the domain of application of the CB-DSS is used to assist in the adaptation of solutions from prior cases.  ... 
doi:10.1109/69.649316 fatcat:dsn3ibo42fesfizd5psqubot4q

A Survey of Artificial Intelligence Research at the IIIA

Ramon Lopez de Mantaras
2014 The AI Magazine  
attention to training PhD students and technology transfer.  ...  We focus our activities on a few well-defined sub-domains of Artificial Intelligence, positively avoiding dispersion and keeping a good balance between basic research and applications, and paying particular  ...  A significant number of competitive research projects have been, and are, also funded by European Community's R&D framework programs.  ... 
doi:10.1609/aimag.v35i3.2524 fatcat:botsq5l4fjg5jnshuw2b2fflgy

Adaptation of Cases for Case Based Forecasting with Neural Network Support [chapter]

Juan M. Corchado, B. Lees
2001 Soft Computing in Case Based Reasoning  
Rees and Prof. J. Aiken at the Plymouth Marine Laboratory in the collaborative research presented in this paper are gratefully acknowledged. References  ...  commonsense reasoning.  ...  Most early work in this area combined CBR systems with rule-based reasoning systems, but the number of applications in which other AI techniques are combined with case-based reasoning systems is increasing  ... 
doi:10.1007/978-1-4471-0687-6_13 fatcat:3ggia42dpfhxfb7otgv4ilphye

Case Adaptation [chapter]

2004 Foundations of Soft Case-Based Reasoning  
1.1 Background / 1 1.2 Components and Features of Case-Based Reasoning / 2 1.2.1 CBR System versus Rule-Based System / 4 1.2.2 CBR versus Human Reasoning / 5 1.2.3 CBR Life Cycle / 6 1.3 Guidelines for  ...  the Use of Case-Based Reasoning / 9 1.4 Advantages of Using Case-Based Reasoning / 9 1.5 Case Representation and Indexing / 11 1.5.1 Case Representation / 12 1.5.2 Case Indexing / 15 1.6  ...  FEATURES OF CASE-BASED REASONING In most CBR systems, the case-based reasoning mechanism, alternatively referred to as the problem solver or reasoner, has an internal structure divided into two major  ... 
doi:10.1002/0471644676.ch4 fatcat:nfnntr5dnvgvdcedaf5jmypj2e

PHASuite: An Automated HAZOP Analysis Tool for Chemical Processes

C. Zhao, M. Bhushan, V. Venkatasubramanian
2005 Chemical engineering research & design  
Ontology based information sharing schemes are developed to share process information and results with other systems.  ...  A two-level, two-layer reasoning engine has been designed to operate on the Petri Nets representation of the process using the knowledge base to perform HAZOP analysis.  ...  The reasoning engine is constructed to be compatible with this kind of digraph structure.  ... 
doi:10.1205/psep.04056 fatcat:xwo5fidzo5defns6cw7nqjxbx4

PHASuite: An Automated HAZOP Analysis Tool for Chemical Processes

C. Zhao, M. Bhushan, V. Venkatasubramanian
2005 Chemical engineering research & design  
Ontology based information sharing schemes are developed to share process information and results with other systems.  ...  A two-level, two-layer reasoning engine has been designed to operate on the Petri Nets representation of the process using the knowledge base to perform HAZOP analysis.  ...  The reasoning engine is constructed to be compatible with this kind of digraph structure.  ... 
doi:10.1205/psep.04055 fatcat:dkvcvqw7hjhalby3sjko34x4cu

Metacognition in computation: A selected research review

Michael T. Cox
2005 Artificial Intelligence  
I examine metacognition with respect to both problem solving (e.g., planning) and to comprehension (e.g., story understanding) processes of cognition.  2005 Published by Elsevier B.V.  ...  I discuss some of these aspects of cognition about cognition and the results concerning them from the point of view of the psychologist and the computer scientist, and I attempt to place them in the context  ...  Meta-AQUA instantiates the retrieved metaexplanation and binds it to the trace of reasoning that preceded the failure. The resulting structure is then checked for applicability.  ... 
doi:10.1016/j.artint.2005.10.009 fatcat:6oghpyu5wrbe3djr6he4wvmx2y

Conclusions and FutureWork [chapter]

Ian Kuon, Jonathan Rose
2010 Quantifying and Exploring the Gap Between FPGAs and ASICs  
The ORCAS framework could highly benefit from technological advances supporting the automatization of ontology-related activities like reasoning with mappings and mapping discovery.  ...  If all goes right with the protocol, at the end the PA sends the result to the FIPA-Mediator, which serializes the data and sends an inform with the result, a set of scored items.  ... 
doi:10.1007/978-1-4419-0739-4_7 fatcat:wzja2fwakbd3tleapfnl3kl23q

A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law

Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Daniele Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori (+12 others)
2012 Artificial Intelligence and Law  
Fifty papers have been selected from the thirteen conferences and each of them is described in a short subsection individually written by one of the 24 authors. These subsections attempt to place the  ...  We provide a retrospective of 25 years of the International Conference on AI and Law, which was first held in 1987.  ...  ways of reasoning with commonsense knowledge as defeasible argumentation.  ... 
doi:10.1007/s10506-012-9131-x fatcat:g4qgrfrwyjcphdghpqlgfarxdy

A guided journey through non-interactive automatic story generation [article]

Luis Miguel Botelho
2021 arXiv   pre-print
The article starts with the presentation of requirements for creative systems, three types of models of creativity (computational, socio-cultural, and individual), and models of human creative writing.  ...  The article concludes that the autonomous generation and adoption of the main idea to be conveyed and the autonomous design of the creativity ensuring criteria are possibly two of most important topics  ...  Acknowledgments: I would like to express my gratitude to my son Miguel, who helped me with paper formatting.  ... 
arXiv:2110.11167v1 fatcat:riztxaxnyrc4hp5e2qwtsu3d4y

Study on the limitations of Stacking Technique for Bandwidth Improvement of Microstrip Patch Antennas

2021 American journal of science & engineering  
Finally, we shown in Figure 8 ,MobileNet structure is do an average pool and end it with a fully depthwise divisible filters.  ...  and reasonable confidence of 0.71 for selecting the narratives with morals versus without morals.  ... 
doi:10.15864/ajse.2305 fatcat:mr7d7o3rsfe4npbo6apifsi4yy

Great Expectations: Unsupervised Inference of Suspense, Surprise and Salience in Storytelling [article]

David Wilmot
2022 arXiv   pre-print
The thesis finds that applying the narrative theory to deep learning models can align with the typical reader.  ...  much cheaper and more adaptable to other domains and tasks.  ...  There are other similar case-based reasoning systems such as CBR-KBQA (Das et al., 2021) that use neural representations to query and reason about structure symbolic semantic web queries.  ... 
arXiv:2206.09708v1 fatcat:k4oefywyxvgn5gdtedyvr5mbpi

Achievement and Expectations of Immigrant, Second Generation, and Non-immigrant Black Students in U.S. Higher Education

Cynthia Hudley
2016 International Journal of Educational Psychology  
country and immigration to the host country.  ...  Results for academic achievement favored second generation students, consistent with cultural ecological theory, while findings concerning expectations were more consistent with segmented assimilation  ...  Acknowledgements The authors thank all parents of children with spina bifida and hydrocephalus, staff of Cure Children's Hospital Uganda, Gulu Regional Orthopaedic Workshop and Rehabilitation Center /  ... 
doi:10.17583/ijep.2016.2226 fatcat:kcgohfe33bdznmybqjyqxxkdou
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