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Related papers: Self-Organization and Artificial Life: A Review

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Novel methods of analysis are needed to help advance our understanding of the intricate interplay between landscape changes, population dynamics, and sustainable development. Self organized machine learning has been highly successful in the…

Signal Processing · Electrical Eng. & Systems 2024-05-17 John M. Wandeto , Birgitta Dresp-Langley

Ashby's law of requisite variety states that a controller must have at least as much variety (complexity) as the controlled. Maturana and Varela proposed autopoiesis (self-production) to define living systems. Living systems also require to…

Adaptation and Self-Organizing Systems · Physics 2016-04-01 Carlos Gershenson

Establishing the emergence of evolutionary behavior as a defining characteristic of 'life' is a major step in the Artificial life (ALife) studies. We present here an abstract formal framework for this aim based upon the notion of high-level…

Neural and Evolutionary Computing · Computer Science 2009-01-13 Janardan Misra

Artificial Intelligence is a field that lives many lives, and the term has come to encompass a motley collection of scientific and commercial endeavours. In this paper, I articulate the contours of a rather neglected but central scientific…

Artificial Intelligence · Computer Science 2024-08-19 Dimitri Coelho Mollo

This review began with the modest goal of drafting a brief commentary on how the social work profession engages with and is impacted by artificial intelligence (AI). However, it quickly became apparent that a deeper exploration was required…

Computers and Society · Computer Science 2024-11-13 Matt Victor Dalziel , Krystal Schaffer , Neil Martin

The relationship between humans and artificial intelligence is no longer science fiction -- it's a growing reality reshaping how we live and work. AI has moved beyond research labs into everyday life, powering customer service chats,…

Artificial Intelligence · Computer Science 2025-06-17 Cosimo Spera , Garima Agrawal

This work concerns a many-body deterministic model that displays life-like properties as emergence, complexity, self-organization, spontaneous compartmentalization, and self-regulation. The model portraits the dynamics of an ensemble of…

Adaptation and Self-Organizing Systems · Physics 2023-07-11 Alessandro Scirè , Valerio Annovazzi-Lodi

We argue that there already exists de facto artificial intelligence policy - a patchwork of policies impacting the field of AI's development in myriad ways. The key question related to AI policy, then, is not whether AI should be governed…

Computers and Society · Computer Science 2016-08-30 Miles Brundage , Joanna Bryson

The field of machine learning has focused, primarily, on discretized sub-problems (i.e. vision, speech, natural language) of intelligence. While neuroscience tends to be observation heavy, providing few guiding theories. It is unlikely that…

Artificial Intelligence · Computer Science 2020-03-11 Jordan Ott

In living systems, we often see the emergence of the ingredients necessary for computation -- the capacity for information transmission, storage, and modification -- begging the question of how we may exploit or imitate such biological…

Neurons and Cognition · Quantitative Biology 2020-09-11 Kristine Heiney , Gunnar Tufte , Stefano Nichele

The question of "what is life?" has challenged scientists and philosophers for centuries, producing an array of definitions that reflect both the mystery of its emergence and the diversity of disciplinary perspectives brought to bear on the…

Other Quantitative Biology · Quantitative Biology 2025-08-07 Reed Bender , Karina Kofman , Blaise Agüera y Arcas , Michael Levin

Artificial Intelligence - what is this? That is the question! In earlier papers we already gave a formal definition for AI, but if one desires to build an actual AI implementation, the following issues require attention and are treated…

Artificial Intelligence · Computer Science 2015-04-01 Dimiter Dobrev

In an increasing number of AI scenarios, collaborations among different organizations or agents (e.g., human and robots, mobile units) are often essential to accomplish an organization-specific mission. However, to avoid leaking useful and…

Machine Learning · Computer Science 2020-12-08 Xun Xian , Xinran Wang , Jie Ding , Reza Ghanadan

Autonomous systems will play an essential role in many applications across diverse domains including space, marine, air, field, road, and service robotics. They will assist us in our daily routines and perform dangerous, dirty and dull…

Robotics · Computer Science 2018-07-16 Lars Kunze , Nick Hawes , Tom Duckett , Marc Hanheide , Tomáš Krajník

The brain is a powerful tool used to achieve amazing feats. There have been several significant advances in neuroscience and artificial brain research in the past two decades. This article is a review of such advances, ranging from the…

Artificial Intelligence · Computer Science 2016-05-16 Gabriel Makdah

One of the challenges artificial intelligence (AI) faces is how a collection of agents coordinate their behaviour to achieve goals that are not reachable by any single agent. In a recent article by Ozmen et al this was framed as one of six…

Multiagent Systems · Computer Science 2024-11-15 Michael S. Harré , Jaime Ruiz-Serra , Catherine Drysdale

There are numerous efforts to achieve a lightweight and systematic account of what is done by a group and its individuals. The Algorithmic-Autoregulation (AA) is a special case, in which a technical community embraced the challenge of…

Computers and Society · Computer Science 2017-11-15 Renato Fabbri

Artificial Intelligence is one of the most significant and prominent technological innovations which has reshaped all aspects of human life on the lines of ease from magnitudes like shopping, data collection, driving, everyday life, medical…

Human-Computer Interaction · Computer Science 2022-12-26 Meenu Varghese , Satheesh Raj , Vigneshwaran Venkatesh

A population of heterogenous agents compeeting through a minority rule is investigated. Agents which frequently loose are selected for evolution by changing their strategies. The stationary composition of the population resulting for this…

Disordered Systems and Neural Networks · Physics 2009-10-31 Alexei Vazquez

Living systems self-organize in ways that conventional physical frameworks-based on forces, energies, and continuous fields-cannot fully capture. Processes like gene regulation and cellular decision-making involve rule-based logic and…

Other Quantitative Biology · Quantitative Biology 2025-11-18 Hyun Youk