Kamm’s response to Tse’s comments deals with the following issues (among others): (1)the relevance of empirical facts to moral arguments about physician assisted suicide (PAS); (2) the moral relevance of the difference between foreseen risk and certainty of death as well as the difference between certain death and immediate death; (3) whether intention matters to the permissibility of giving morphine for pain relief (MPR) and whether objective factors can be the same whether one intends MPR or death in giving morphine; (...) (4) the relevance of the permissibility of MPR or terminating life-saving treatment for the permissibility of PAS. (shrink)

In this paper, I will defend a strategy for employing perfect being theology that Jeff Speaks calls “restriction strategy.” In Section I, I will outline what the restriction strategy is and explicate Speaks’s objection to it. In Section II, I will propose a response to Speaks’s objection. In Section III, the response will be refined to avoid objections. My contention will be that this refined version of perfect being theology avoids Speaks’s objection, and therefore can help theists find what divine (...) attributes God has. (shrink)

This article reviews the edited volume “Evolvability: A Unifying Concept in Evolutionary Biology?” through biological and philosophical lenses. The book provides diverse angles on evolvability, which is affected by various hierarchical levels, timescales, and types of variation, thus moving beyond a purely genomics perspective. Evolvability is important to biosemiotics because understanding the dynamics of topological genotype spaces could help one better comprehend the phenotypic spaces of meaning, as developmental codes and interrelations can influence the emergence of biological novelty over time. (...) This book is successful in provoking thought on evolvability's role as both a product and a driver of evolutionary innovations and explores the philosophical implications of how evolution has the capacity to generate novel forms of meaning. (shrink)

Upshot: In this response, I address the points raised in the commentaries, in particular those related to the scalability and robustness of the mechanism CALM, to its relation with the CAES architecture, and to the transition from sensorimotor to symbolic.

Context: The advent of a general artificial intelligence mechanism that learns like humans do would represent the realization of an old and major dream of science. It could be achieved by an artifact able to develop its own cognitive structures following constructivist principles. However, there is a large distance between the descriptions of the intelligence made by constructivist theories and the mechanisms that currently exist. Problem: The constructivist conception of intelligence is very powerful for explaining how cognitive development takes place. (...) However, until now, no computational model has successfully demonstrated the underlying mechanisms necessary to realize it. In other words, the artificial intelligence (AI) community has not been able to give rise to a system that convincingly implements the principles of intelligence as postulated by constructivism, and that is also capable of dealing with complex environments. Results: This paper presents the constructivist anticipatory learning mechanism (CALM), an agent learning mechanism based on the constructivist approach of AI. It is designed to deal dynamically and interactively with environments that are at the same time partially deterministic and partially observable. CALM can model the regularities experienced in the interaction with the environment, on the sensorimotor level as well, as by constructing abstract or high-level representational concepts. The created model provides the knowledge necessary to generate the agent behavior. The paper also presents the coupled agent environment system (CAES) meta-architecture, which defines a conception of an autonomous agent, situated in the environment, embodied and intrinsically motivated. Implications: The paper can be seen as a step towards a computational implementation of constructivist principles, on the one hand suggesting a further perspective of this refreshing movement on the AI field (which is still too steeped in a behaviorist influence and dominated by probabilistic models and narrow applied approaches), and on the other hand bringing some abstract descriptions of the cognitive process into a more concrete dimension, in the form of algorithms. Constructivist content: The connection of this paper with constructivism is the proposal of a computational and formally described mechanism that implements important aspects of the subjective process of knowledge construction based on key ideas proposed by constructivist theories. (shrink)

Finley’s life during and just after World War II, although neglected by biographers and others interested in his career, was a formative period for him. A successful activist for Soviet-solidarity organizations, he learned lessons in public outreach that would affect his teaching and later public activity, and absorbed experiences that found their way into his first well-known book, The World of Odysseus. During this period he changed his name from Finkelstein to Finley, a shift emblematic of his adjustment to a (...) postwar situation that would prove professionally difficult for him, yet intellectually fruitful. (shrink)

An updated and extended second edition supporting the findings of its well-known predecessor which claimed that courts employ common-sense notions of causation in determining legal responsibility.