Ecological community networks can evolve associative memory under individual-level selection (Power et al. 2015)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• The same learning behaviours can be exhibited by an ecological community without selection at the community level.claim0.827
  Extends connectionist learning to ecological networks.
• Gene regulatory networks can evolve associative memory, storing and recalling multiple phenotypes from partial selective cues (Watson et al. 2010)finding0.810
  Demonstrates information integration in evolutionary systems with system-level selection
• Can Ecological Communities Evolving Under Individuallevel Selection Solvequestion0.794
• We hypothesise that ecological models fall short of demonstrating spontaneous evolution of a new level of individuality because they are single-level networks of symmetric interactions.hypothesis0.792
  Explains limitation of current ecological connectionist models.
• Associative learning occurs in gene regulatory networks and other non-neural systems, making it substrate-independent.claim0.790
• Natural selection can evolve phenotypic plasticity that solves division of labour games in two-player collectives (Tudge et al. 2016)finding0.775
  Shows plasticity as solution to HFHF in minimal models with homogeneous genotypes
• How Do Singlelevel Ecological Networks Achieve Collective Intelligencequestion0.775
• Can Ecosystems And Learning Systems Evolve Collective Intelligencequestion0.769