Ross indexed the following pages under the keyword: "Interaction".

Holism Impulse pattern too incompatible Interaction in central nervous system Vision in strabismus 0467 0468

Basic pattern and action Neuron and pattern Interaction in central nervous system 0469 0470

Independence picture of Intelligence alternative to Interaction in central nervous system Organisation opposite to 0471 0472

Dominance in organisation Interaction versus dominance 0495 0496

Organisation Interaction versus dominance 0519 0520

Organisation deals with variables Interaction versus dominance Organisation in machinery, examples 0543 0544

Dominance Interaction versus dominance 0545 0546

Equilibrium central nervous system must be in Equilibrium of a system Interaction versus dominance 0567 0568

Neutral point (of equilibrium - including 'cycle', 'region' etc.) effect of change of parameter Dominance test for Independence Interaction definition Organisation irreversible Organisation number of types of Time reversible machine 0927 0928

Summary: Response of linear system to an input when its response to a step-function is known. Interaction Poincaré on Output to given input Statistical mechanics Poincaré on 2597 2598

Interaction and notation Problems methods for Serial adaptation Polya on serial adaptation Transformation random The Multistable System [27]: Polya's methods for solving problems correspond in detail with those of the multistable system, 3817. 3816 3817

Interaction and prediction Joining and prediction 5078 5079

Chess machine for Summary: How to make a brain. Interaction small in multistable systems Retroactive inhibition condition for zero retroactive inhibition 5302 5303

Summary: Simpler proof that seeing k keeps cylindrance, in the 2n space, down to k. Interaction in set theory Semi-group Ljapin's book Transformation and semi-groups 6490 6491

Gene interaction between genes Interaction between genes Display extravagant, in polygamous birds Evolution polygamy forces extravagant display 6556 6557

Interaction in machine Summary: Total constraint over trajections analysed in the state-determined machine. 6772 6664 6665

Summary: Conditioning seen as habituation. 6754 Reflex, conditioned as habituation Stimulus nature of Summary: Analogy still holds strongly between "interaction" set and "interaction" entropies. 6818 Interaction on stacking sets 6752 6753

Error Conant's theorem Regulation Conant's study Summary: Conant's theorem that the error controlled feedback regulator conserves information. 6942 Collapsing theorems Conant's Continuity and information Discrimination effect of loss, on H,T,Q Interaction effects of collapsing Transmission after collapsing 6832 6833

Cylindrance of group Group (mathematical) cylindrance of Summary: The cylindrance of every group is 3 Summary: Cylindrance of the interaction set. Cylindrance of interaction set Interaction cylindrance of 6882 6883

Independence effect on Q Interaction with an independent variable 6890 6890+01

Interaction rotating "probability" axes Probability rotating "axes" Rotation of "probability" axes 6894 6895

Summary: (1) The "transmissions" require for coordination can always be achieved - method given. (2) The whole flow of information can be analysed by the methods of book-keeping. Another analysis: 6997 Analysis of information flow Coordination minimal information for Information partitioned Partition of information flows Transmission minimal, in coordination Summary: High order interactions can readily occur in physical systems. 7006 Coordination minimal information for Interaction in physical systems Transmission minimal, in coordination 6950 6951

Independence effect on Q Interaction and independence 6976 6977

Interaction as operation 7002 7003

Summary: Mere broadcasting induces high-order interaction. 7097 Broadcast gives interaction Broadcasting gives interaction Interaction by broadcasting Constraint mechanisms for 7006 7007

Summary: Interactions when there are repetitions. Interaction by copying Model Conant's theorem 7102 7103

Summary: Interaction between parts having inputs raises the complexity by x ki. i = number of inputs to each part; k = number of values (states) of each part). Information and interaction Interaction increases information by x ki Summary: Me and my brain in dreams. Dream and "self" Self-awareness impossible 7124 7125

Summary: Transmission cannot be created. 7146 Conservation of Complexity Law of Transmission cannot be created Information and interaction Interaction squares it (doubled size) Size, effect of on information 7126 7127

Interaction and vector-formation N-tuple effect on Q Vector effect on Q Summary: Thinking variables into vectors does not raise the order of the highest non-zero interaction. 7142 7143