Cellular memory hints at the origins of intelligence

  title={Cellular memory hints at the origins of intelligence},
  author={Philip Ball},
  • P. Ball
  • Published 23 January 2008
  • Biology
  • Nature

Can embryonic skipper frogs (Euphlyctis cyanophlyctis) learn to recognise kairomones in the absence of a nervous system?

Surprisingly, larval E. cyanophlyctis could learn to recognise kairomones through association during embryonic stages even before the development of a nervous system, indicating that they have the innate ability to recognise alarm cues as a potential threat.

Decision-Making Rules and the Influence of Memory Data

The article deals with the issue of the lifecycle of decision rules (dynamic proposal of opportunities) as the first step of decision making, i.e., the decision about the existence of opportunity, and respects static applications based on equilibrium states, while on the other hand, draws attention to the need for a dynamic view of turbulent, dynamic, chaotic, and nonlinear phenomena.

In the Light of the Environment: Evolution Through Biogrammars Not Programmers

An alternative to genetic programs—dubbed “biogrammars”— is proposed here to deal with complex, changing environments and explain evolving complexity from pre-genetic life to human socio-cognitive functions.

Lessons from a virtual slime: marginal mechanisms, minimal cognition and radical enactivism

It is argued that modellers may still adopt a mechanistic strategy to produce explanations that are compatible with REC, scaffolded by a multi-agent model of the true slime mould Physarum polycephalum.

Foresight and Hindsight

The generation of images associated with mathematical formulae raised questions regarding art’s condition and the nature of creativity, and these are addressed from the perspective of aesthetic experiments.

Senomic view of the cell: Senome versus Genome

The Senome is proposed, representing the sum of all the sensory experiences of the cognitive cell and its sensing apparatus, and understanding its true nature which allows the communicative assembly of cells in the form of sentient multicellular organisms.

Physical Ethology of Unicellular Organisms

In this chapter, some behaviours of unicellular organisms that appear to be smart or intelligent are reported and a mechanism of these behaviours is discussed, based on a mechanical equation of motion.

2 Anticipatory and Recall Behaviour in Response to Periodic Stimulation in the Plasmodia of Physarum polycephalum 1 . 2 . 1 Overview and Background

In this chapter, some behaviours of unicellular organisms that appear to be smart or intelligent are reported and a mechanism of these behaviours is discussed, based on a mechanical equation of motion.

Rethinking the experiment: necessary (R)evolution

The study advances G-complexity for defining and comparing decidable and undecidable knowledge and suggests that AI and related computational expressions of knowledge could benefit from the awareness of what distinguishes the dynamics of life from any other expressions of change.

The foundations of plant intelligence

Comparison of swarm intelligence and plant behaviour indicates the origins of plant intelligence lie in complex communication and is exemplified by cambial control of branch function.



Obtaining multiple separate food sources: behavioural intelligence in the Physarum plasmodium

It is concluded that the plasmodium tube network is a well designed and intelligent system when presented with multiple separate food sources and appeared to be a bistable system involving SMT and CYC.

Amoebae anticipate periodic events.

The mechanisms underlying these types of behavior from a dynamical systems perspective were explored, finding that when plasmodia of the true slime mold Physarum were exposed to unfavorable conditions, they reduced their locomotive speed in response to each episode.

Intelligence: Maze-solving by an amoeboid organism

It is shown that this simple organism has the ability to find the minimum-length solution between two points in a labyrinth.