Results 31 to 40 of about 8,673,646 (306)
Evolution of Neural Dynamics in an Ecological Model
Geosciences, 2017 What is the optimal level of chaos in a computational system? If a system is too chaotic, it cannot reliably store information. If it is too ordered, it cannot transmit information.
Steven Williams, Larry Yaeger
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Aggressive and peaceful behavior in multiagent systems on cellular space
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2016 One of the key issues in Multi-Agent simulation approach is a consolidation of great model variety. Many researches govern own unique models that are similar in basic principles but for complex adaptive systems such as Artificial Ecosystems slight ...
Valentin V. Zavertanyy +1 more
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Frontiers in Robotics and AI, 2020 Niche construction is a process in which organisms modify the selection pressures on themselves and others through their ecological activities, and ecological inheritance is the consequence of niche construction inherited through generations. However, it
Naoaki Chiba, Reiji Suzuki, Takaya Arita
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Agents of Habit: Refining the Artificial Life Route to Artificial Intelligence
IEEE Symposium on Artificial Life, 2020 We provide conceptual clues for one promising Artificial Life (ALife) route to Artificial Intelligence (AI) based on the notion of habit.
Susana Ramírez-Vizcaya, Tom Froese
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Genotype dynamic for agent neuroevolution in artificial life model
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2017 Cooperation behavior is one of the most used and spread Multi-agent system feature. In some cases emergence of this behaviour can be characterized by division of population on co-evolving subpopulations [1], [2].
Valentine V. Zavertanyy, A. S. Makarenko
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The Artificial Life Roots of Artificial Intelligence [PDF]
Artificial Life, 1993 Behavior-oriented Artificial Intelligence (AI) is a scientific discipline that studies how behavior of agents emerges and becomes intelligent and adaptive. Success of the field is defined in terms of success in building physical agents that are capable of maximizing their own self-preservation in interaction with a dynamically changing environment ...
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ARTIFICIAL INTELLIGENCE: DOUBTS OF THE CONTEMPORARY DEVELOPMENT [PDF]
Hum, 2018 The paper presents artificial intelligence from the standpoint of clearing the doubts that lie ahead of its contemporary development. For centuries, in the works of great thinkers, there has been the idea of building a machine that will be able to ...
Marija Putica
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Self-Organization and Artificial Life: A Review [PDF]
IEEE Symposium on Artificial Life, 2018 Self-organization has been an important concept within a number of disciplines, which Artificial Life (ALife) also has heavily utilized since its inception. The term and its implications, however, are often confusing or misinterpreted.
C. Gershenson +3 more
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Lamarckian Evolution of Simulated Modular Robots
Frontiers in Robotics and AI, 2019 We study evolutionary robot systems where not only the robot brains but also the robot bodies are evolvable. Such systems need to include a learning period right after ‘birth' to acquire a controller that fits the newly created body.
Milan Jelisavcic +3 more
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Ten future challenges for synthetic biology
Engineering Biology, 2021 After 2 decades of growth and success, synthetic biology has now become a mature field that is driving significant innovation in the bioeconomy and pushing the boundaries of the biomedical sciences and biotechnology. So what comes next?
Olivia Gallup, Hia Ming, Tom Ellis
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