Hacking with God: a Common Programming Language of Robopsychology and Robophilosophy

• URL: http://arxiv.org/abs/2009.09068v1
• Date: Wed, 16 Sep 2020 11:59:12 GMT
• Title: Hacking with God: a Common Programming Language of Robopsychology and Robophilosophy
• Authors: Norbert B\'atfai
• Abstract summary: We try to outline a conception in which the robophilosophy and robopsychology will be able to play a similar leading rule in the progress of artificial intelligence. We outline the idea of a visual artificial language and interactive theorem prover-based computer application called Prime Convo Assistant.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This note is a sketch of how the concept of robopsychology and robophilosophy could be reinterpreted and repositioned in the spirit of the original vocation of psychology and philosophy. The notion of the robopsychology as a fictional science and a fictional occupation was introduced by Asimov in the middle of the last century. The robophilosophy, on the other hand, is only a few years old today. But at this moment, none of these new emerging disciplines focus on the fundamental and overall issues of the development of artificial general intelligence. Instead, they focus only on issues that, although are extremely important, play a complementary role, such as moral or ethical ones, rather than the big questions of life. We try to outline a conception in which the robophilosophy and robopsychology will be able to play a similar leading rule in the progress of artificial intelligence than the philosophy and psychology have done in the progress of human intelligence. To facilitate this, we outline the idea of a visual artificial language and interactive theorem prover-based computer application called Prime Convo Assistant. The question to be decided in the future is whether we can develop such an application. And if so, can we build a computer game on it, or even an esport game? It may be an interesting question in order for this game will be able to transform human thinking on the widest possible social scale and will be able to develop a standard mathematical logic-based communication channel between human and machine intelligence.

Related papers

• No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots [0.24554686192257422]
  We show that intelligent behavior can be created without a separate and explicit brain for robot control. Specifically, we show that adaptive and complex behavior can be created in voxel-based virtual soft robots by using simple reactive materials.
  arXiv  Detail & Related papers  (2024-07-23T16:20:36Z)
• Simulacra as Conscious Exotica [13.672268920902187]
  The advent of conversational agents with increasingly human-like behaviour throws old philosophical questions into new light. Does it, or could it, ever make sense to speak of AI agents built out of generative language models in terms of consciousness? This paper attempts to tackle this question while avoiding the pitfalls of dualistic thinking.
  arXiv  Detail & Related papers  (2024-02-19T13:53:10Z)
• AI for Mathematics: A Cognitive Science Perspective [86.02346372284292]
  Mathematics is one of the most powerful conceptual systems developed and used by the human species. Rapid progress in AI, particularly propelled by advances in large language models (LLMs), has sparked renewed, widespread interest in building such systems.
  arXiv  Detail & Related papers  (2023-10-19T02:00:31Z)
• The Human-or-Machine Matter: Turing-Inspired Reflections on an Everyday Issue [4.309879785418976]
  We sidestep the question of whether a machine can be labeled intelligent, or can be said to match human capabilities in a given context. We first draw attention to the seemingly simpler question a person may ask themselves in an everyday interaction: Am I interacting with a human or with a machine?''
  arXiv  Detail & Related papers  (2023-05-07T15:41:11Z)
• World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges [51.92834011423463]
  We focus on the two concepts of world models and predictive coding. In neuroscience, predictive coding proposes that the brain continuously predicts its inputs and adapts to model its own dynamics and control behavior in its environment.
  arXiv  Detail & Related papers  (2023-01-14T06:38:14Z)
• When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment [96.77970239683475]
  AI systems need to be able to understand, interpret and predict human moral judgments and decisions. A central challenge for AI safety is capturing the flexibility of the human moral mind. We present a novel challenge set consisting of rule-breaking question answering.
  arXiv  Detail & Related papers  (2022-10-04T09:04:27Z)
• Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception [2.1067139116005595]
  We discuss how neuroscience findings open up opportunities to improve current estimation and control algorithms in robotics. This paper summarizes some experiments and lessons learned from developing such a computational model on real embodied platforms.
  arXiv  Detail & Related papers  (2021-05-10T10:59:38Z)
• AGENT: A Benchmark for Core Psychological Reasoning [60.35621718321559]
  Intuitive psychology is the ability to reason about hidden mental variables that drive observable actions. Despite recent interest in machine agents that reason about other agents, it is not clear if such agents learn or hold the core psychology principles that drive human reasoning. We present a benchmark consisting of procedurally generated 3D animations, AGENT, structured around four scenarios.
  arXiv  Detail & Related papers  (2021-02-24T14:58:23Z)
• Inductive Biases for Deep Learning of Higher-Level Cognition [108.89281493851358]
  A fascinating hypothesis is that human and animal intelligence could be explained by a few principles. This work considers a larger list, focusing on those which concern mostly higher-level and sequential conscious processing. The objective of clarifying these particular principles is that they could potentially help us build AI systems benefiting from humans' abilities.
  arXiv  Detail & Related papers  (2020-11-30T18:29:25Z)
• Intelligence Primer [0.0]
  Intelligence is a fundamental part of all living things, as well as the foundation for Artificial Intelligence. In this primer we explore the ideas associated with intelligence and, by doing so, understand the implications and constraints. We call this a Life, the Universe, and Everything primer, after the famous science fiction book by Douglas Adams.
  arXiv  Detail & Related papers  (2020-08-13T15:47:04Z)
• Towards hybrid primary intersubjectivity: a neural robotics library for human science [4.232614032390374]
  We study primary intersubjectivity as a second person perspective experience characterized by predictive engagement. We propose an open-source methodology named textitneural robotics library (NRL) for experimental human-robot interaction. We discuss some ways human-robot (hybrid) intersubjectivity can contribute to human science research.
  arXiv  Detail & Related papers  (2020-06-29T11:35:46Z)
• Machine Common Sense [77.34726150561087]
  Machine common sense remains a broad, potentially unbounded problem in artificial intelligence (AI) This article deals with the aspects of modeling commonsense reasoning focusing on such domain as interpersonal interactions.
  arXiv  Detail & Related papers  (2020-06-15T13:59:47Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.