Reasoning based on consolidated real world experience acquired by a humanoid robot

2016 ◽  
Vol 17 (2) ◽  
pp. 248-278 ◽  
Author(s):  
Maxime Petit ◽  
Grégoire Pointeau ◽  
Peter Ford Dominey
Keyword(s):  
Problem Solving ◽  
Human Development ◽  
Real World ◽  
Humanoid Robot ◽  
Expert Knowledge ◽  
Proof Of Concept ◽  
Tower Of Hanoi ◽  
Human Interactions ◽  
Reasoning Systems ◽  
The Individual

Abstract The development of reasoning systems exploiting expert knowledge from interactions with humans is a non-trivial problem, particularly when considering how the information can be coded in the knowledge representation. For example, in human development, the acquisition of knowledge at one level requires the consolidation of knowledge from lower levels. How is the accumulated experience structured to allow the individual to apply knowledge to new situations, allowing reasoning and adaptation? We investigate how this can be done automatically by an iCub that interacts with humans to acquire knowledge via demonstration. Once consolidated, this knowledge is used in further acquisitions of experience concerning preconditions and consequences of actions. Finally, this knowledge is translated into rules that allow reasoning and planning for novel problem solving, including a Tower of Hanoi scenario. We thus demonstrate proof of concept for an interaction system that uses knowledge acquired from human interactions to reason about new situations.

A Methodology for Modeling Expert Knowledge for Development of Agent-Based Systems

2011 ◽  
pp. 210-233 ◽  
Author(s):  
Michael Bowman
Keyword(s):  
Problem Solving ◽  
Real World ◽  
Intelligent Agents ◽  
Expert Knowledge ◽  
Rule Learning ◽  
Subject Matter Experts ◽  
Agent Based ◽  
Mixed Initiative ◽  
The Military ◽  
Modeling Expert

For intelligent agents to become truly useful in real-world applications, it is necessary to identify, document, and integrate into them the human knowledge used to solve real-world problems. This article describes a methodology for modeling expert problem-solving knowledge that supports ontology import and development, teaching-based agent development, and agent-based problem solving. It provides practical guidance to subject matter experts on expressing how they solve problems using the task reduction paradigm. It identifies the concepts and features to be represented in an ontology; identifies tasks to be represented in a knowledge base; guides rule learning/refinement; supports natural language generation; and is easy to use. The methodology is applicable to a wide variety of domains and has been successfully used in the military domain. This research is part of a larger effort to develop an advanced approach to expert knowledge acquisition based on apprenticeship multi-strategy learning in a mixed-initiative framework.

The Attempt to Author the World: How Intellectualism Denies the Individual

2012 ◽  
Vol 8 ◽  
Author(s):  
Elizabeth R. Wheelock
Keyword(s):  
Marxist Theory ◽  
Personal Relationships ◽  
Simone De Beauvoir ◽  
Human Interactions ◽  
Second Sex ◽  
Existential Theory ◽  
Feminist Scholar ◽  
The World ◽  
The Individual ◽  
Existential Issues

Although primarily known as a feminist scholar and author of such works as She Came to Stay and The Second Sex, Simone de Beauvoir contributed heavily to French existential thought. The two writings upon which this paper focuses, The Ethics of Ambiguity and The Woman Destroyed, deal with the existential issues involved in human interactions and personal relationships. The Ethics of Ambiguity, famous as an exploration of the ethical code created by existential theory, begins with a criticism of Marxism and the ways in which it deviates from existentialism. Similarly, the first of the three short stories that make up de Beauvoir’s fictional work The Woman Destroyed follows the French intelligentsia and their similarities and digressions from Marxist and existential thought. In this paper, I seek to analyze Simone de Beauvoir’s criticism of Marxist theory in The Ethics of Ambiguity and its transformation into the critique of intellectualism found twenty years later in The Woman Destroyed. I will investigate Marxism’s alleged attempts to constrain the group it wishes to lead and the motivation behind these actions. Finally, I conclude with a discussion of the efficacy of fiction as a medium for de Beauvoir’s philosophy.

Systems theories

2018 ◽  
Author(s):  
Marc J. Stern
Keyword(s):  
Social Networks ◽  
Problem Solving ◽  
Natural Resources ◽  
Real World ◽  
Common Pool Resources ◽  
Ecological Systems ◽  
Effective Governance ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Real World Problem

This chapter covers systems theories relevant to understanding and working to enhance the resilience of social-ecological systems. Social-ecological systems contain natural resources, users of those resources, and the interactions between each. The theories in the chapter share lessons about how to build effective governance structures for common pool resources, how to facilitate the spread of worthwhile ideas across social networks, and how to promote collaboration for greater collective impacts than any one organization alone could achieve. Each theory is summarized succinctly and followed by guidance on how to apply it to real world problem solving.

A novel clinical applicable bed-side tool for assessing conditioning pain modulation: proof-of-concept

2020 ◽  
Vol 20 (4) ◽  
pp. 801-807
Author(s):  
Lars Arendt-Nielsen ◽  
Jesper Bie Larsen ◽  
Stine Rasmussen ◽  
Malene Krogh ◽  
Laura Borg ◽  
...  
Keyword(s):  
Pain Modulation ◽  
Clinical Settings ◽  
Proof Of Concept ◽  
Finger Nail ◽  
Tonic Stimulus ◽  
Pressure Pain Thresholds ◽  
Custom Made ◽  
The Individual ◽  
Descending Pain Modulation ◽  
Finger Pressure

AbstractBackground and aimsIn recent years, focus on assessing descending pain modulation or conditioning pain modulation (CPM) has emerged in patients with chronic pain. This requires reliable and simple to use bed-side tools to be applied in the clinic. The aim of the present pilot study was to develop and provide proof-of-concept of a simple clinically applicable bed-side tool for assessing CPM.MethodsA group of 26 healthy volunteers participated in the experiment. Pressure pain thresholds (PPT) were assessed as test stimuli from the lower leg before, during and 5 min after delivering the conditioning tonic painful pressure stimulation. The tonic stimulus was delivered for 2 min by a custom-made spring-loaded finger pressure device applying a fixed pressure (2.2 kg) to the index finger nail. The pain intensity provoked by the tonic stimulus was continuously recorded on a 0–10 cm Visual Analog Scale (VAS).ResultsThe median tonic pain stimulus intensity was 6.7 cm (interquartile range: 4.6–8.4 cm) on the 10 cm VAS. The mean PPT increased significantly (P = 0.034) by 55 ± 126 kPa from 518 ± 173 kPa before to 573 ± 228 kPa during conditioning stimulation. When analyzing the individual CPM responses (increases in PPT), a distribution of positive and negative CPM responders was observed with 69% of the individuals classified as positive CPM responders (increased PPTs = anti-nociceptive) and the rest as negative CPM responders (no or decreased PPTs = Pro-nociceptive). This particular responder distribution explains the large variation in the averaged CPM responses observed in many CPM studies. The strongest positive CPM response was an increase of 418 kPa and the strongest negative CPM response was a decrease of 140 kPa.ConclusionsThe present newly developed conditioning pain stimulator provides a simple, applicable tool for routine CPM assessment in clinical practice. Further, reporting averaged CPM effects should be replaced by categorizing volunteers/patients into anti-nociceptive and pro-nociceptive CPM groups.ImplicationsThe finger pressure device provided moderate-to-high pain intensities and was useful for inducing conditioning stimuli. Therefore, the finger pressure device could be a useful bed-side method for measuring CPM in clinical settings with limited time available. Future bed-side studies involving patient populations are warranted to determine the usefulness of the method.

scholarly journals Public Roads as Places of Interspecies Conflict: A Study of Horse-Human Interactions on UK Roads and Impacts on Equine Exercise

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1072
Author(s):  
Danica Pollard ◽  
Tamzin Furtado
Keyword(s):  
Near Miss ◽  
Online Questionnaire ◽  
Near Misses ◽  
Logistic Regression Models ◽  
Emotional Management ◽  
The Road ◽  
Human Interactions ◽  
Road Users ◽  
Conflict Risk ◽  
The Individual

Real or perceived traffic risk is a significant barrier to walking and cycling. To understand whether similar barriers influence equestrians, this study obtained exercise behaviours, road use and experiences of road-related incidents from UK equestrians (n = 6390) via an online questionnaire. Multivariable logistic regression models were used to identify factors associated with road use and experiencing a near-miss or injury-causing incident in the previous year. Content analysis identified themes around equestrians’ decisions not to use roads. Our results show that most equestrians (84%) use roads at least once weekly, and in the previous year, 67.7% had a near-miss and 6.1% an injury-causing incident. Road use differs regionally, with exercise type and off-road route availability. Road-using equestrians covered greater daily distances and were younger. However, younger equestrians were at higher risk of near-misses. Respondents’ decisions not to use roads were based on individualised risk assessments arising from: the road itself, perceptions of other road users, the individual horse and the handler’s own emotional management. Roads were perceived as extremely dangerous places with potentially high conflict risk. Injury-causing incidents were associated with increasing road-use anxiety or ceasing to use roads, the proximity of off-road routes, having a near-miss and type of road use. Targeted road-safety campaigns and improved off-road access would create safer equestrian spaces.

Alice in the Real World

2012 ◽  
Vol 17 (7) ◽  
pp. 410-416 ◽  
Author(s):  
Tom Parker
Keyword(s):  
Problem Solving ◽  
Real World ◽  
Mathematical Problem ◽  
Computer Application ◽  
Mathematical Problem Solving ◽  
The Real ◽  
Programming Knowledge

A computer application promotes programming knowledge and allows students to create their own worlds through mathematical problem solving.

From Problem-Solving Paradigm to Co-Ontogenic Drift: How Do Learning Narratives Self-Generate?

Leonardo ◽  
2011 ◽  
Vol 44 (2) ◽  
pp. 133-138
Author(s):  
Johann van der Merwe ◽  
Julia Brewis
Keyword(s):  
Problem Solving ◽  
Real World ◽  
Design Education ◽  
Design Theory ◽  
Social Situation ◽  
Theory And Practice ◽  
Use Of Self ◽  
Real World Problems

It is now an accepted maxim in design theory and practice that real-world problems needing the attention of design practitioners are not neat and well-structured, but ill-structured and “wicked”—part of a larger, complex social situation. For design education, then, to take its lead from contemporary social, political and economic structures, it will have to seriously re-think its problem-solving paradigms. The authors investigate the use of self-generating learning narratives in the classroom and contrast the approach they introduce with the still-too-prevalent notion that knowledge can be transferred from teacher to student. Their methodology draws from ideas formulated by Maturana and Varela on autopoiesis, specifically the notion of co-ontogenic drift.

An Experiment in Problem Solving

1951 ◽  
Vol 3 (4) ◽  
pp. 184-197 ◽  
Author(s):  
J. W. Whitfield
Keyword(s):  
Problem Solving ◽  
Experimental Work ◽  
Human Subjects ◽  
Qualitative Difference ◽  
Trial And Error ◽  
Qualitative Nature ◽  
The Individual

Trial-and-error problems are described in terms of “stimulus” difficulty, which is a measure of the number of possible modes of response left to the individual when all the information given is taken into account; and “phenomenal” difficulty, which is a measure derived from the individual's performance. An experiment is described in which three types of problem were presented to human subjects. In all three problems the stimulus difficulty was calculable, stage by stage, in the solution. The problems differed in this stimulus difficulty and also in the qualitative nature of the information provided—from unequivocal to conditional. It is shown that the qualitative difference of the nature of the information bears most relationship to phenomenal difficulty. Some observations are made on the modes of solution adopted, and further experimental work is suggested.

Boosting branch-and-bound MaxSAT solvers with clause learning

2021 ◽  
pp. 1-21
Author(s):  
Chu-Min Li ◽  
Zhenxing Xu ◽  
Jordi Coll ◽  
Felip Manyà ◽  
Djamal Habet ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Combinatorial Optimization ◽  
Problem Solving ◽  
Branch And Bound ◽  
Real World ◽  
Optimization Problems ◽  
Satisfiability Problem ◽  
Maximum Satisfiability ◽  
Combinatorial Optimization Problems ◽  
Clause Learning

The Maximum Satisfiability Problem, or MaxSAT, offers a suitable problem solving formalism for combinatorial optimization problems. Nevertheless, MaxSAT solvers implementing the Branch-and-Bound (BnB) scheme have not succeeded in solving challenging real-world optimization problems. It is widely believed that BnB MaxSAT solvers are only superior on random and some specific crafted instances. At the same time, SAT-based MaxSAT solvers perform particularly well on real-world instances. To overcome this shortcoming of BnB MaxSAT solvers, this paper proposes a new BnB MaxSAT solver called MaxCDCL. The main feature of MaxCDCL is the combination of clause learning of soft conflicts and an efficient bounding procedure. Moreover, the paper reports on an experimental investigation showing that MaxCDCL is competitive when compared with the best performing solvers of the 2020 MaxSAT Evaluation. MaxCDCL performs very well on real-world instances, and solves a number of instances that other solvers cannot solve. Furthermore, MaxCDCL, when combined with the best performing MaxSAT solvers, solves the highest number of instances of a collection from all the MaxSAT evaluations held so far.

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