Interoceptive robustness through environment-mediated morphological development

Typically, AI researchers and roboticists try to realize intelligent behavior in machines by tuning parameters of a predefined structure (body plan and/or neural network architecture) using evolutionary or learning algorithms. Another but not unrelated longstanding property of these systems is their brittleness to slight aberrations, as highlighted by the growing deep learning literature on adversarial examples. Here we show robustness can be achieved by evolving the geometry of soft robots, their control systems, and how their material properties develop in response to one particular interoceptive stimulus (engineering stress) during their lifetimes. By doing so we realized robots that were equally fit but more robust to extreme material defects (such as might occur during fabrication or by damage thereafter) than robots that did not develop during their lifetimes, or developed in response to a different interoceptive stimulus (pressure). This suggests that the interplay between changes in the containing systems of agents (body plan and/or neural architecture) at different temporal scales (evolutionary and developmental) along different modalities (geometry, material properties, synaptic weights) and in response to different signals (interoceptive and external perception) all dictate those agents' abilities to evolve or learn capable and robust strategies

Disney meets Darwin : an evolution-based interface for exploration and design of expressive animated behavior

Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1994.Includes bibliographical references (leaves 68-70).by Jeffrey John Ventrella.M.S

Gestural Turing Test. A Motion-Capture Experiment for Exploring Believability In Artificial Nonverbal Communication.

One of the open problems in creating believable characters in computer games and collaborative virtual environments is simulating adaptive human-like motion. Classical artificial intelligence (AI) research places an emphasis on verbal language. In response to the limitations of classical AI, many researchers have turned their attention to embodied communication and situated intelligence. Inspired by Gestural Theory, which claims that speech emerged from visual, bodily gestures in primates, we implemented a variation of the Turing Test, using motion instead of text for messaging between agents. In doing this, we attempt to understand the qualities of motion that seem human-like to people. We designed two gestural AI algorithms that simulate or mimic communicative human motion using the positions of the head and the hands to determine three moving points as the signal. To run experiments, we implemented a networked-based architecture for a Vicon motion capture studio. Subjects were shown both artificial and human gestures, and were told to declare whether it was real or fake. Techniques such as simple gesture imitation were found to increase believability. While we require many such experiments to understand the perception of humanness in movement, we believe this research is essential to developing a truly believable character

Increasing crop rotational diversity can enhance cereal yields

9 Pág.Diversifying agriculture by rotating a greater number of crop species in sequence is a promising practice to reduce negative impacts of crop production on the environment and maintain yields. However, it is unclear to what extent cereal yields change with crop rotation diversity and external nitrogen fertilization level over time, and which functional groups of crops provide the most yield benefit. Here, using grain yield data of small grain cereals and maize from 32 long-term (10–63 years) experiments across Europe and North America, we show that crop rotational diversity, measured as crop species diversity and functional richness, enhanced grain yields. This yield benefit increased over time. Only the yields of winter-sown small grain cereals showed a decline at the highest level of species diversity. Diversification was beneficial to all cereals with a low external nitrogen input, particularly maize, enabling a lower dependence on nitrogen fertilisers and ultimately reducing greenhouse gas emissions and nitrogen pollution. The results suggest that increasing crop functional richness rather than species diversity can be a strategy for supporting grain yields across many environments.G.V., R.B. and S.H. acknowledge FORMAS grants 2018-02872 and 2018-02321. TMB acknowledges USDA AFRI grant 2017-67013-26254. LTEs managed by SRUC were supported by the Scottish Government RESAS Strategic Research Programme under project D3-, Healthy Soils for a Green Recovery. Swedish LTEs were funded by the Swedish University of Agricultural Sciences (SLU). We thank the Lawes Agricultural Trust and Rothamsted Research for data from the e-RA database. The Rothamsted Long-term Experiments National Capability (LTE-NC) was supported by the UK BBSRC (Biotechnology and Biological Sciences Research Council, BBS/E/C/000J0300) and the Lawes Agricultural Trust. The Woodslee site was supported by the Agro-Ecosystem Resilience Program (Agriculture & Agri-Food Canada) and field management provided by field crews over 6 decades is appreciated. La Canaleja LTE (Spain) was supported by RTA2017-00006-C03-01 project (Ministry of Science and Innovation. El Encín LTEs were supported by Spanish Ministry of Economy and Competitiveness funds (projects AGL2002-04186-C03-01.03, AGL2007-65698-C03-01.03, AGL2012-39929-C03-01 of which L. Navarrete was the P.I). R.A., A.G.D. and E.H.P. are also grateful to all members of the Weed Science Group from El Encín Experimental Station for their technical assistance in managing the experiments. The Brody/Poznan University of Life Sciences long-term experiments were funded by the Polish Ministry of Education and Science. We acknowledge the E-Obs dataset from the EU-FP6 project UERRA (http://www.uerra.eu) and the Copernicus Climate Change Service, and the data providers in the ECA&D project (https://www.ecad.eu/).Peer reviewe

Increasing crop rotational diversity can enhance cereal yields

Diversifying agriculture by rotating a greater number of crop species in sequence is a promising practice to reduce negative impacts of crop production on the environment and maintain yields. However, it is unclear to what extent cereal yields change with crop rotation diversity and external nitrogen fertilization level over time, and which functional groups of crops provide the most yield benefit. Here, using grain yield data of small grain cereals and maize from 32 long-term (10–63 years) experiments across Europe and North America, we show that crop rotational diversity, measured as crop species diversity and functional richness, enhanced grain yields. This yield benefit increased over time. Only the yields of winter-sown small grain cereals showed a decline at the highest level of species diversity. Diversification was beneficial to all cereals with a low external nitrogen input, particularly maize, enabling a lower dependence on nitrogen fertilisers and ultimately reducing greenhouse gas emissions and nitrogen pollution. The results suggest that increasing crop functional richness rather than species diversity can be a strategy for supporting grain yields across many environments

Crop rotational diversity can mitigate climate-induced grain yield losses

Diversified crop rotations have been suggested to reduce grain yield losses from the adverse climatic conditions increasingly common under climate change. Nevertheless, the potential for climate change adaptation of different crop rotational diversity (CRD) remains undetermined. We quantified how climatic conditions affect small grain and maize yields under different CRDs in 32 long-term (10-63 years) field experiments across Europe and North America. Species-diverse and functionally rich rotations more than compensated yield losses from anomalous warm conditions, long and warm dry spells, as well as from anomalous wet (for small grains) or dry (for maize) conditions. Adding a single functional group or crop species to monocultures counteracted yield losses from substantial changes in climatic conditions. The benefits of a further increase in CRD are comparable with those of improved climatic conditions. For instance, the maize yield benefits of adding three crop species to monocultures under detrimental climatic conditions exceeded the average yield of monocultures by up to 553 kg/ha under non-detrimental climatic conditions. Increased crop functional richness improved yields under high temperature, irrespective of precipitation. Conversely, yield benefits peaked at between two and four crop species in the rotation, depending on climatic conditions and crop, and declined at higher species diversity. Thus, crop species diversity could be adjusted to maximize yield benefits. Diversifying rotations with functionally distinct crops is an adaptation of cropping systems to global warming and changes in precipitation.</p