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

Knowledge-yielding communication

A satisfactory theory of linguistic communication must explain how it is that, through the interpersonal exchange of auditory, visual, and tactile stimuli, the communicative preconditions for the acquisition of testimonial knowledge regularly come to be satisfied. Without an account of knowledge-yielding communication this success condition for linguistic theorizing is left opaque, and we are left with an incomplete understanding of testimony, and communication more generally, as a source of knowledge. This paper argues that knowledge-yielding communication should be modelled on knowledge itself. It is argued that knowledge-yielding communication occurs iff interlocutors coordinate on truth values in a non-lucky and non-deviant way. This account is able to do significant explanatory work: it sheds light on the nature of referential communication, and it allows us to capture, in an informative way, the sense in which interlocutors must entertain similar propositions in order to communicate successfully

Object-Oriented Dynamics Learning through Multi-Level Abstraction

Object-based approaches for learning action-conditioned dynamics has demonstrated promise for generalization and interpretability. However, existing approaches suffer from structural limitations and optimization difficulties for common environments with multiple dynamic objects. In this paper, we present a novel self-supervised learning framework, called Multi-level Abstraction Object-oriented Predictor (MAOP), which employs a three-level learning architecture that enables efficient object-based dynamics learning from raw visual observations. We also design a spatial-temporal relational reasoning mechanism for MAOP to support instance-level dynamics learning and handle partial observability. Our results show that MAOP significantly outperforms previous methods in terms of sample efficiency and generalization over novel environments for learning environment models. We also demonstrate that learned dynamics models enable efficient planning in unseen environments, comparable to true environment models. In addition, MAOP learns semantically and visually interpretable disentangled representations.Comment: Accepted to the Thirthy-Fourth AAAI Conference On Artificial Intelligence (AAAI), 202

Using Visualization to Support Data Mining of Large Existing Databases

In this paper. we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, we try to provide visual support not only for the query specification process. but also for evaluating query results and. thereafter, refining the query accordingly. The main idea of our system is to represent as many data items as possible by the pixels of the display device. By arranging and coloring the pixels according to the relevance for the query, the user gets a visual impression of the resulting data set and of its relevance for the query. Using an interactive query interface, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. By using multiple windows for different parts of the query, the user gets visual feedback for each part of the query and, therefore, may easier understand the overall result. To support complex queries, we introduce the notion of approximate joins which allow the user to find data items that only approximately fulfill join conditions. We also present ideas how our technique may be extended to support the interoperation of heterogeneous databases. Finally, we discuss the performance problems that are caused by interfacing to existing database systems and present ideas to solve these problems by using data structures supporting a multidimensional search of the database

Neutrality, Partiality, and Meaning in Life

Discussion of whether values and norms are neutral or not has mainly appeared in works on the nature of prudential rationality and morality. Little systematic has yet appeared in the up and coming field of the meaning of life. What are the respects in which the value of meaningfulness is neutral or, in contrast, partial, relational, or ‘biased’? In this article, I focus strictly on answering this question. First, I aim to identify the salient, and perhaps exhaustive, respects in which issues of neutrality arise in the contexts of life’s meaning. In addition to providing a taxonomy of the key points of contention, a second aim is to advance reflection about them by considering the most important arguments that have been marshalled in favour of one side or the other, particularly as they appear in recent neutral positions. I conclude that meaning in life is neutral with respect to time but not any other conditions such as agents and patients, with a third aim being to point out that this makes the value of meaning different from the kinds of non/neutrality encountered in some salient conceptions of prudence and morality

Knowing Things in Themselves

A perennial epistemological question is whether things can be known just as they are in the absence of any awareness of them. This epistemological question is posterior to ontological considerations and more specific ones pertaining to mind. In light of such considerations, the author propounds a naïve realist, foundationalist account of knowledge of things in themselves, one that makes crucial use of the work of Brentano. After introducing the resources provided by Brentano’s study of mind, the author reveals the ontological framework in which it takes place. Doing so is instrumental to illuminating acquaintance, the state that enables the direct engagement of a mind and some other thing. The author discusses this state and shows how it has the epistemic heft, with a Brentanian account of judgment, to provide the foundations of one’s knowledge of the world. A naïve realist, foundationalist account of knowledge is open to a compelling objection; the author presents this objection with the means of undermining it. In conclusion, the author recurs to the opening theme of the primacy of ontology and suggests that familiar misgivings about knowing things in themselves are all based on questionable—and ultimately untenable—ontological presuppositions