Search Results for author: Assaf Marron

Found 5 papers, 0 papers with code

Biparental Reproduction may Enhance Species Sustainability by Conserving Shared Parental Traits more Faithfully than Monoparental Reproduction

no code implementations25 Dec 2023 Assaf Marron, Smadar Szekely, Irun R. Cohen, David Harel

Recognized effects of sexual reproduction and other forms of biparental reproduction in species sustainment and evolution include the increasing of diversity, accelerating adaptation, constraining the accumulation of deleterious mutations, and the homogenization of species genotype.

The Human-or-Machine Matter: Turing-Inspired Reflections on an Everyday Issue

no code implementations7 May 2023 David Harel, Assaf Marron

In his seminal paper ``Computing Machinery and Intelligence'', Alan Turing introduced the ``imitation game'' as part of exploring the concept of machine intelligence.

Evolution is Driven by Natural Autoencoding: Reframing Species, Interaction Codes, Cooperation, and Sexual Reproduction

no code implementations22 Mar 2022 Irun R. Cohen, Assaf Marron

(1) We define a species by its \textit{species interaction code}, which consists of a compact description of the repeating interactions of species organisms with their external and internal environments.

Dimensionality Reduction

Scenario-Assisted Deep Reinforcement Learning

no code implementations9 Feb 2022 Raz Yerushalmi, Guy Amir, Achiya Elyasaf, David Harel, Guy Katz, Assaf Marron

In this work-in-progress report, we propose a technique for enhancing the reinforcement learning training process (specifically, its reward calculation), in a way that allows human engineers to directly contribute their expert knowledge, making the agent under training more likely to comply with various relevant constraints.

reinforcement-learning Reinforcement Learning (RL)

Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions

no code implementations16 Jan 2020 Assaf Marron, Lior Limonad, Sarah Pollack, David Harel

When developing autonomous systems, engineers and other stakeholders make great effort to prepare the system for all foreseeable events and conditions.

Ethics

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