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Related papers: Non-Evolutionary Superintelligences Do Nothing, Ev…

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Self-adaptation is used in all main paradigms of evolutionary computation to increase efficiency. We claim that the basis of self-adaptation is the use of neutrality. In the absence of external control neutrality allows a variation of the…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Marc Toussaint , Christian Igel

The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into society and used in everyday situations. AI is changing the way…

Computers and Society · Computer Science 2022-05-24 Virginia Dignum

It's widely expected that humanity will someday create AI systems vastly more intelligent than us, leading to the unsolved alignment problem of "how to control superintelligence." However, this commonly expressed problem is not only…

Artificial Intelligence · Computer Science 2024-12-02 James M. Mazzu

AI risks are typically framed around physical threats to humanity, a loss of control or an accidental error causing humanity's extinction. However, I argue in line with the gradual disempowerment thesis, that there is an underappreciated…

Computers and Society · Computer Science 2025-03-31 Joshua Krook

This paper aims to justify the concept of natural intelligence, the type of intelligence wider than human intelligence and its derivative, AI. I will argue that the process of life is a cognitive process and that organisms, from bacteria to…

Other Quantitative Biology · Quantitative Biology 2020-01-07 P Slijepcevic

Artificial Intelligence (AI) has apparently become one of the most important techniques discovered by humans in history while the human brain is widely recognized as one of the most complex systems in the universe. One fundamental critical…

How did the human species evolve the capacity not just to communicate complex ideas to one another but to hold such conversations from across the globe, using remote devices constructed from substances that do not exist in the natural…

Neurons and Cognition · Quantitative Biology 2019-07-09 Liane Gabora , Anne Russon

Engineering long-running computing systems that achieve their goals under ever-changing conditions pose significant challenges. Self-adaptation has shown to be a viable approach to dealing with changing conditions. Yet, the capabilities of…

Software Engineering · Computer Science 2023-03-28 Danny Weyns , Jesper Andersson

Creativity has always been synonymous with humans. No other living species could boast of creativity as humans could. Even the smartest computers thrived only on the ingenious imaginations of its coders. However, that is steadily changing…

Computers and Society · Computer Science 2020-10-02 Raj Shekhar

Autonomous Artificial Intelligence (AI) has many benefits. It also has many risks. In this work, we identify the 3 levels of autonomous AI. We are of the position that AI must not be fully autonomous because of the many risks, especially as…

Artificial Intelligence · Computer Science 2025-08-01 Tosin Adewumi , Lama Alkhaled , Florent Imbert , Hui Han , Nudrat Habib , Karl Löwenmark

Creativity is a fundamental pillar of human expression and a driving force behind innovation, yet it now stands at a crossroads. As artificial intelligence advances at an astonishing pace, the question arises: can machines match and…

General Economics · Economics 2024-09-30 Anne-Gaëlle Maltese , Pierre Pelletier , Rémy Guichardaz

Evolution gave rise to creatures that are arguably more sophisticated than the greatest human-designed systems. This feat has inspired computer scientists since the advent of computing and led to optimization tools that can evolve complex…

Neural and Evolutionary Computing · Computer Science 2020-12-23 Jean-Baptiste Mouret

How can humans stay in control of advanced artificial intelligence systems? One proposal is corrigibility, which requires the agent to follow the instructions of a human overseer, without inappropriately influencing them. In this paper, we…

Artificial Intelligence · Computer Science 2023-06-01 Ryan Carey , Tom Everitt

Human intelligence, the most evident and accessible form of source of reasoning, hosted by biological hardware, has evolved and been refined over thousands of years, positioning itself today to create new artificial forms and preparing to…

Artificial Intelligence · Computer Science 2025-12-09 Suayb S. Arslan

Without an agreed-upon definition of intelligence, asking "is this system intelligent?"" is an untestable question. This lack of consensus hinders research, and public perception, on Artificial Intelligence (AI), particularly since the rise…

Artificial Intelligence · Computer Science 2023-12-18 Warisa Sritriratanarak , Paulo Garcia

Darwin's theory of evolution by natural selection does not predict long-term progress or advancement, nor does it provide a useful way to define or understand these concepts. Nevertheless, the history of life is marked by major trends that…

Populations and Evolution · Quantitative Biology 2019-03-25 Owen M. Gilbert

Many species engage in acts that could be called creative. However, human creativity is unique in that it has transformed our planet. Given that the anatomy of the human brain is not so different from that of the great apes, what enables us…

Neurons and Cognition · Quantitative Biology 2019-07-11 Liane Gabora , Scott Barry Kaufman

Recent advances in AI raise the possibility that AI systems will one day be able to do anything humans can do, only better. If artificial general intelligence (AGI) is achieved, AI systems may be able to understand, reason, problem solve,…

Artificial Intelligence · Computer Science 2025-09-05 William Stewart

We assume that the natural intelligence (human, particularly) is equivalent to a large inferring structure, which took shape in the last 400/500 million years. Then two hypotheses, about this structure and its development, are put forward…

Populations and Evolution · Quantitative Biology 2007-05-23 Claudio Parmeggiani

This paper presents a technique called evolving self-supervised neural networks - neural networks that can teach themselves, intrinsically motivated, without external supervision or reward. The proposed method presents some sort-of paradigm…

Neural and Evolutionary Computing · Computer Science 2019-06-24 Nam Le