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R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning [article]

Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
2022 arXiv   pre-print
In this paper, we propose R5, a relational reasoning framework based on reinforcement learning that reasons over relational graph data and explicitly mines underlying compositional logical rules from observations  ...  It consists of a policy value network equipped with Monte Carlo Tree Search to perform recurrent relational prediction and a backtrack rewriting mechanism for rule mining.  ...  In this section, we introduce our Rule Discovery with Reinforced and Recurrent Relational Reasoning framework, namely R5, to solve the inductive relation prediction problem.  ... 
arXiv:2205.06454v1 fatcat:563zfaxiarcflhgwspxy7x7cdm

Structural Self-organized Holonic Multi-Agent Manufacturing Systems [chapter]

José Barbosa, Paulo Leitão, Emmanuel Adam, Damien Trentesaux
2013 Lecture Notes in Computer Science  
This increase of system complexity has to be tackled with new control approaches, where decentralization is playing an important role and particularly the Multi-Agent Systems and Holonic Systems.  ...  This new control architecture is empowered by a two vector selforganization, called behavioural and structural self-organization.  ...  The discovery and monitoring modules, supported by a knowledge base, will feed the reasoning and learning engines that are responsible to discover new opportunities to evolve and decide how to evolve.  ... 
doi:10.1007/978-3-642-40090-2_6 fatcat:o2rdyupsgzf7jirldr6onpgcla

Human-robot collaboration and machine learning: a systematic review of recent research [article]

Francesco Semeraro, Alexander Griffiths, Angelo Cangelosi
2022 arXiv   pre-print
Machine learning is a recent approach to build the cognitive model and behavioural block, with high potential in HRC.  ...  Then, a deep analysis on different families of machine learning algorithms and their properties, along with the sensing modalities used, is carried out.  ...  Angelo Cangelosi's work was partially supported by the H2020 projects TRAINCREASE and eLADDA, the UKRI Trustworthy Autonomous Systems Node on Trust and the US Air Force project THRIVE++.  ... 
arXiv:2110.07448v4 fatcat:zwelju5ffneqxmfqhkxjfa3h2q

A Theory of Relation Learning and Cross-domain Generalization [article]

Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel
2021 arXiv   pre-print
The resulting model learns both the content and format (i.e., structure) of relational representations from non-relational inputs without supervision, when augmented with the capacity for reinforcement  ...  relations between their inputs and outputs.  ...  We placed R1 and R2 and R3 in the driver, and R4 and R5 in the recipient.  ... 
arXiv:1910.05065v5 fatcat:dak3dffaifbanm2kt5f4nx454u

Beyond "Monologicality"? Exploring Conspiracist Worldviews

Bradley Franks, Adrian Bangerter, Martin W. Bauer, Matthew Hall, Mark C. Noort
2017 Frontiers in Psychology  
But research on monologicality offers little discussion of the content of monological beliefs and reasoning from the standpoint of the CT believers.  ...  These findings are at odds with the typical image of monological CT believers as paranoid, cynical, anomic and irrational.  ...  One key aspect of reinforcing beliefs and norms, and supporting ingroup coherence, is the relation between a group and a leader (Haslam et al., 2011) : more successful (and more positively evaluated)  ... 
doi:10.3389/fpsyg.2017.00861 pmid:28676768 pmcid:PMC5476781 fatcat:qycpzkannvaurcs76rbp442hp4

Rebuilding Resilience in the Sahel: Regreening in the Maradi and Zinder Regions of Niger

Jan Sendzimir, Chris P. Reij, Piotr Magnuszewski
2011 Ecology and Society  
question in a society with one of the highest population growth rates on Earth.  ...  However, while society seems better at coping with economic or climatic shock or stress, the resilience of society and nature in the Maradi/Zinder region to global sources of uncertainty remains a pressing  ...  In addition, the text and supporting materials benefited from the critical advice of Gray Tappan.  ... 
doi:10.5751/es-04198-160301 fatcat:fp6kzoas4rdiflymicsiotpdja

Neural Approaches to Conversational AI [article]

Jianfeng Gao, Michel Galley, Lihong Li
2019 arXiv   pre-print
For each category, we present a review of state-of-the-art neural approaches, draw the connection between them and traditional approaches, and discuss the progress that has been made and challenges still  ...  being faced, using specific systems and models as case studies.  ...  To reason over a KB, for each relation r ∈ R, we are interested in learning a set of first-order logical rules in the form of relational paths, π = (r 1 , ..., r k ).  ... 
arXiv:1809.08267v3 fatcat:j57xlm4ogferdnrpfs4f2jporq

Improving Representation of Decision Rules in LUCC-ABM: An Example with an Elicitation of Farmers' Decision Making for Landscape Restoration in Central Malawi

Ida Nadia S. Djenontin, Leo C. Zulu, Arika Ligmann-Zielinska
2020 Sustainability  
We link them with the corresponding vegetation- and non-vegetation-based restoration practices to depict the overall decision-making processes.  ...  , rules/norms-constrained, economic capacity-dependent, awareness-dependent, and risk averse-oriented.  ...  a Bold denotes related goal frames as base/root for the rules; Italics denotes the related secondary goal frames, which are either absent or present in the rules, alternatively; b Number of times the rule  ... 
doi:10.3390/su12135380 fatcat:w5jgnycnbvajxbkohhz2xcgkza

Hoxa2 Selectively Enhances Meis Binding to Change a Branchial Arch Ground State

Shilu Amin, Ian J. Donaldson, Denise A. Zannino, James Hensman, Magnus Rattray, Marta Losa, François Spitz, Franck Ladam, Charles Sagerström, Nicoletta Bobola
2015 Developmental Cell  
This enhanced Meis binding coincides with active enhancers, which are linked to genes highly expressed in the IIBA and regulated by Hoxa2.  ...  Because Hox proteins have notoriously low binding specificity, they are believed to bind with cofactors, mainly homeodomain TFs Pbx and Meis, to select their specific targets.  ...  We also thank the members of the Genomic Technologies and Bioinformatics Core Facilities at the University of Manchester, Dorothea Schulte and Carol Wicking, for the Meis1 and Zfp503 probes, respectively  ... 
doi:10.1016/j.devcel.2014.12.024 pmid:25640223 pmcid:PMC4333904 fatcat:bk2gcp2hlbcdlpejnr2bnbp6fm

The conscious and the unconscious: A package deal

Martin Kurthen
2002 Behavioral and Brain Sciences  
We propose that the isomorphism generally observed between the representations composing our momentary phenomenal experience and the structure of the world is the end-product of a progressive organization  ...  and Louise Wasylkiw for their support during the exploratory phases of this investigation.  ...  ACKNOWLEDGMENTS This research was funded by Social Sciences and Humanities Research Council of Canada Research Grant 410-99-0831.  ... 
doi:10.1017/s0140525x02360060 fatcat:yfjqvbt2avcrlj7yfs7i3rszvq

The self-organizing consciousness

Pierre Perruchet, Annie Vinter
2002 Behavioral and Brain Sciences  
We propose that the isomorphism generally observed between the representations composing our momentary phenomenal experience and the structure of the world is the end-product of a progressive organization  ...  Axel Cleeremans is a Senior Research Associate with the F.N.R.S.  ...  ACKNOWLEDGMENTS Arnaud Destrebecqz is a Postdoctoral Researcher with the Fonds National de la recherche Scientifique (F.N.R.S., Belgium).  ... 
doi:10.1017/s0140525x02000067 fatcat:xwzlrlhvnfd3bozxoriqtiyeq4

SemML: Facilitating Development of ML Models for Condition Monitoring with Semantics

Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov
2021 Social Science Research Network  
They only need to annotate data and then ML models will be constructed through the combination of semantic reasoning and ML modules.  ...  With SemML, users do not need to dive into data and ML scripts when new datasets of a studied application scenario arrive.  ...  Note that the requirements R1 and R5 address the challenge C1, then R2 and R5 address C2, and R3-R5 address C3; we depict it in Fig. 1 with yellow circles.  ... 
doi:10.2139/ssrn.3945440 fatcat:yggv3elqovfdrclvlosfg53qoe

A general account of selection: biology, immunology, and behavior

D L Hull, R E Langman, S S Glenn
2001 Behavioral and Brain Sciences  
The three fundamental elements of this account are replication, variation, and environmental interaction. For selection to occur, these three processes must be related in a very specific way.  ...  In traditional biological evolution, organisms play a central role with respect to environmental interaction.  ...  Prior to the discovery of DNA, the science of genetics was concerned with terminal relations.  ... 
pmid:11682800 fatcat:k3hk3yvmrzejll4bavxd6oh4wy

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases [article]

Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian Suchanek
2021 arXiv   pre-print
Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI.  ...  It covers models and methods for discovering and canonicalizing entities and their semantic types and organizing them into clean taxonomies.  ...  We also appreciate the sustained encouragement and support by our editors Surajit Chaudhuri, Joe Hellerstein and Ihab Ilyas.  ... 
arXiv:2009.11564v2 fatcat:vh2lqfmhhbcwpf6dcsej3hhvgy

Précis of Breakdown of Will

George Ainslie
2005 Behavioral and Brain Sciences  
Contradictory reward-getting processes can in effect bargain with each other, and stable preferences can be established by the perception of recurrent choices as test cases (precedents) in recurrent intertemporal  ...  behaviors, and over periods of fractional seconds can account for involuntary behaviors.  ...  ACKNOWLEDGMENT ACKNOWLEDGMENTS Preparation of this commentary was supported by NSF IBN 0236821 and NIMH 1R01MH066860 grants.  ... 
doi:10.1017/s0140525x05000117 pmid:16262913 fatcat:om2iv6eonzfjxkiwosrqwrwx34
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