Supported models

From The P-Lingua Website

Revision as of 16:06, 21 August 2009 (view source) Admin.plingua (Talk | contribs) (New page: The following models are supported by P-Lingua and its associated tools: == Cell-like P system models == * Active membranes with division rules * Active membranes with creation r...) ← Older edit		Current revision (11:27, 30 September 2013) (view source) Miguel (Talk | contribs)
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-	The following models are supported by [[P-Lingua]] and its [[associated tools]]:	+	The following models are supported by the last version (4.0) of [[P-Lingua]]:
	== Cell-like P system models ==		== Cell-like P system models ==
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	* Transition P systems		* Transition P systems
	* Symport/antiport P systems		* Symport/antiport P systems
-	* Stochastic P systems	+	* Stochastic P systems (discontinued, refer to other simulation frameworks such as Infobiotics Workbench)
-	* Probabilistic P systems	+	* Probabilistic P systems (PDP systems)
	== Tissue-like P system models ==		== Tissue-like P system models ==
-	Not supported yet.	+	* Tissue-like P systems with communication and division rules
		+	* Tissue-like P systems with cell separation rules
		+
		+	== Spiking neural-like P system models ==
		+
		+	* Spiking neural P systems with division, budding and delays
		+
		+	== Kernel P system models ==
		+
		+	* Simple kernel P systems (skP systems)

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Current revision

The following models are supported by the last version (4.0) of P-Lingua:

Contents 1 Cell-like P system models 2 Tissue-like P system models 3 Spiking neural-like P system models 4 Kernel P system models

Cell-like P system models

• Active membranes with division rules
• Active membranes with creation rules
• Transition P systems
• Symport/antiport P systems
• Stochastic P systems (discontinued, refer to other simulation frameworks such as Infobiotics Workbench)
• Probabilistic P systems (PDP systems)

Tissue-like P system models

• Tissue-like P systems with communication and division rules
• Tissue-like P systems with cell separation rules

Spiking neural-like P system models

• Spiking neural P systems with division, budding and delays

Kernel P system models

• Simple kernel P systems (skP systems)