Varieties of Cognitive Integration

Extended cognition theorists argue that cognitive processes constitutively depend on resources that are neither organically composed, nor located inside the bodily boundaries of the agent, provided certain conditions on the integration of those processes into the agent’s cognitive architecture are met. Epistemologists, however, worry that in so far as such cognitively integrated processes are epistemically relevant, agents could thus come to enjoy an untoward explosion of knowledge. This paper develops and defends an approach to cognitive integration—cluster-model functionalism—which finds application in both domains of inquiry, and which meets the challenge posed by putative cases of cognitive or epistemic bloat

SIMF: Semantics-aware Interactive Motion Forecasting for Autonomous Driving

Autonomous vehicles require motion forecasting of their surrounding multi-agents (pedestrians and vehicles) to make optimal decisions for navigation. The existing methods focus on techniques to utilize the positions and velocities of these agents and fail to capture semantic information from the scene. Moreover, to mitigate the increase in computational complexity associated with the number of agents in the scene, some works leverage Euclidean distance to prune far-away agents. However, distance-based metric alone is insufficient to select relevant agents and accurately perform their predictions. To resolve these issues, we propose Semantics-aware Interactive Motion Forecasting (SIMF) method to capture semantics along with spatial information, and optimally select relevant agents for motion prediction. Specifically, we achieve this by implementing a semantic-aware selection of relevant agents from the scene and passing them through an attention mechanism to extract global encodings. These encodings along with agents' local information are passed through an encoder to obtain time-dependent latent variables for a motion policy predicting the future trajectories. Our results show that the proposed approach outperforms state-of-the-art baselines and provides more accurate predictions in a scene-consistent manner

Forst on Reciprocity of Reasons: a Critique

According to Rainer Forst, (i) moral and political claims must meet a requirement of reciprocal and general acceptability (RGA) while (ii) we are under a duty in engaged discursive practice to justify such claims to others, or be able to do so, on grounds that meet RGA. The paper critically engages this view. I argue that Forst builds a key component of RGA, i.e., reciprocity of reasons, on an idea of the reasonable that undermines both (i) and (ii): if RGA builds on this idea, RGA is viciously regressive and a duty of justification to meet RGA fails to be agent transparent. This negative result opens the door for alternative conceptions of reciprocity and generality. I then suggest that a more promising conception of reciprocity and generality needs to build on an idea of the reasonable that helps to reconcile the emancipatory or protective aspirations of reciprocal and general justification with its egalitarian commitments. But this requires to downgrade RGA in the order of justification and to determine on prior, substantive grounds what level of discursive influence in reciprocal and general justification relevant agents ought to have

UrBIOfuture : Boosting future careers, education and research activities in the European bio-based industry. Focus Group Report

This document summarises the results obtained from 5 focus groups (27 participants in total) and 11 interviews to relevant agents of the Bio Industry sector carried out during the first week of May 2019 in Belgium, Denmark, Finland, Italy, Poland, Spain and The Netherlands

Self-Referential Optimal Advising When Reactions are Delayed

Like social predictions also advices addressed to the relevant agents may influence their subject and consequently may be liable to self-referentiality effects. It is a well-known phenomenon that decisionmakers tend to delay the execution of a given advice the more the less urgent the underpinning arguments appear to be to them. Particularly, this can be observed in economic and in environmental policy. What should a professional adviser do? It is the purpose of this study to provide an analytical framework in which a professional adviser's objectives are analyzed. Naturally, his first objective is to choose such an advice and such underpinning arguments that the advice really will be taken by the addressed agents (argument justification objective). This is closely related to the problem of the predictability of social events which for the first time has rigorously been analyzed by Grunberg and Modigliani in 1954. The adviser's second objective of being right with his underpinning arguments and his third objective, i.e. his potential self-interest in the ultimate outcome, will be taken into account in this study by means of a subjective utility function. This approach can be seen as complementary to the literature on strategic information transmission and credibility. --delayed reaction function,self-referentiality,argument justification,social reputation

What Pedro could do

This paper discusses Bernard Williams's famous case of Jim and the Indians. It contrasts two ways of diagnosing the alleged errors of Act Utilitarianism in considering this case. One approach suggests that Act Utilitarianism fails to appreciate the importance of what Jim does; it fails to understand the significance of Jim's agency. This paper favours an alternative diagnosis, according to which Act Utilitarianism fails to appreciate the importance of what Pedro could do; it fails to understand the significance of Pedro's agency