A comparative survey of integrated learning systems

This paper presents the duction framework for unifying the three basic forms of inference - deduction, abduction, and induction - by specifying the possible relationships and influences among them in the context of integrated learning. Special assumptive forms of inference are defined that extend the use of these inference methods, and the properties of these forms are explored. A comparison to a related inference-based learning frame work is made. Finally several existing integrated learning programs are examined in the perspective of the duction framework

U.S./European Summit on Missing & Exploited Children

In October 2005, representatives from 20 countries, the United Nations, European-Union institutions, and the Council of Europe participated in the first-ever U.S./European Summit on Missing and Exploited Children. They discussed, compared, and assessed the effectiveness of: national and international legal instruments enacted to combat child abduction and the sexual exploitation of children;national and supranational initiatives that address the increasingly complex moral, societal, and legal challenges; andcurrent private and non-governmental initiatives and practices that support the protection of children. Specifically, participants sought to provide a common, universally agreed upon definition of the problem of child sexual exploitation

Development of an automatic lameness detection system for dairy cattle : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in Mechatronics at Massey University, Manawatu, New Zealand

Lameness in dairy cattle negatively effects the welfare of affected cows and is the third biggest cause of economic loss to the dairy industry in New Zealand. As the cost and frequency of lameness continues to increase, profitability will further decrease, unless a more effective and efficient method of detecting cattle lameness is found. The main objective of this study was to investigate whether differences between healthy and lame cattle could be identified by capturing ground reaction forces when the dairy cattle walked over the designed platform. [Partial abstract

Epistemological Realism and Onto-Relations

The traditional concept of knowledge is a justified true belief. The bulk of contemporary epistemology has focused primarily on that task of justification. Truth seems to be a quite obvious criterion—does the belief in question correspond to reality? My contention is that the aspect of ontology is far too separated from epistemology. This onto-relationship of between reality and beliefs require the epistemic method of epistemological realism. This is not to diminish the task of justification. I will then discuss the role of inference from the onto-relationships of free invention and discovery and whether it is best suited for a foundationalist or coherentist model within a theistic context

Theorising and practitioners in HRD: the role of abductive reasoning

Purpose – The purpose of this paper is to argue that abductive reasoning is a typical but usually unrecognised process used by HRD scholars and practitioners alike. Design/methodology/approach – This is a conceptual paper that explores recent criticism of traditional views of theory-building, based on the privileging of scientific theorising, which has led to a relevance gap between scholars and practitioners. The work of Charles Sanders Peirce and the varieties of an abductive reasoning process are considered. Findings – Abductive reasoning, which precedes induction and deduction, provide a potential connection with HRD practitioners who face difficult problems. Two types of abductive reasoning are explored – existential and analogic. Both offer possibilities for theorising with HRD practitioners. A range of methods for allowing abduction to become more evident with practitioners are presented. The authors consider how abduction can be used in engaged and participative research strategies. Research limitations/implications – While this is a conceptual paper, it does suggest implications for engagement and participation in theorising with HRD practitioners. Practical implications – Abductive reasoning adds to the repertoire of HRD scholars and practitioners. Originality/value – The paper elucidates the value of abductive reasoning and points to how it can become an integral element of theory building in HRD

Theory formation by abduction : a case study based on the chemical revolution

Abduction is the process of constructing explanations. This chapter suggests that automated abduction is a key to advancing beyond the "routine theory revision" methods developed in early AI research towards automated reasoning systems capable of "world model revision" - dramatic changes in systems of beliefs such as occur in children's cognitive development and in scientific revolutions. The chapter describes a general approach to automating theory revision based upon computational methods for theory formation by abduction. The approach is based on the idea that, when an anomaly is encountered, the best course is often simply to suppress parts of the original theory thrown into question by the contradiction and to derive an explanation of the anomalous observation based on relatively solid, basic principles. This process of looking for explanations of unexpected new phenomena can lead by abductive inference to new hypotheses that can form crucial parts of a revised theory. As an illustration, the chapter shows how some of Lavoisier's key insights during the Chemical Revolution can be viewed as examples of theory formation by abduction

Theory formation by abduction : initial results of a case study based on the chemical revolution

Abduction is the process of constructing explanations. This chapter suggests that automated abduction is a key to advancing beyond the "routine theory revision" methods developed in early AI research towards automated reasoning systems capable of "world model revision" — dramatic changes in systems of beliefs such as occur in children's cognitive development and in scientific revolutions. The chapter describes a general approach to automating theory revision based upon computational methods for theory formation by abduction. The approach is based on the idea that, when an anomaly is encountered, the best course is often simply to suppress parts of the original theory thrown into question by the contradiction and to derive an explanation of the anomalous observation based on relatively solid, basic principles. This process of looking for explanations of unexpected new phenomena can lead by abductive inference to new hypotheses that can form crucial parts of a revised theory. As an illustration, the chapter shows how some of Lavoisier's key insights during the Chemical Revolution can be viewed as examples of theory formation by abduction

Constraints on predicate invention

This chapter describes an inductive learning method that derives logic programs and invents predicates when needed. The basic idea is to form the least common anti-instance (LCA) of selected seed examples. If the LCA is too general it forms the starting poínt of a gneral-to-specific search which is guided by various constraints on argument dependencies and critical terms. A distinguishing feature of the method is its ability to introduce new predicates. Predicate invention involves three steps. First, the need for a new predicate is discovered and the arguments of the new predicate are determíned using the same constraints that guide the search. In the second step, instances of the new predicate are abductively inferred. These instances form the input for the last step where the definition of the new predicate is induced by recursively applying the method again. We also outline how such a system could be more tightly integrated with an abductive learning system