Biological Computation: A View from Computer Science - Revision history

Nemenman at 03:21, 17 May 2008

2008-05-17T03:21:28Z

← Older revision		Revision as of 03:21, 17 May 2008
Line 5:		Line 5:

	:In this brief talk I will frame the problem of developing such a model by proposing several questions that I believe must be answered if a system is to be usefully described as "computing" or "processing information".		:In this brief talk I will frame the problem of developing such a model by proposing several questions that I believe must be answered if a system is to be usefully described as "computing" or "processing information".


	Back to [[Principles of Biological Computation - Agenda \| Agenda]].		Back to [[Principles of Biological Computation - Agenda \| Agenda]].

Nemenman at 20:20, 1 May 2008

2008-05-01T20:20:39Z

← Older revision		Revision as of 20:20, 1 May 2008
Line 7:		Line 7:


	Back to [~~http://www~~.~~santafe.edu/events/workshops/index.php/Principles_of_Biological_Computation main page]~~		Back to [[Principles of Biological Computation - Agenda \| Agenda]].

Nemenman at 20:19, 1 May 2008

2008-05-01T20:19:36Z

← Older revision		Revision as of 20:19, 1 May 2008
Line 2:		Line 2:
	[http://web.cecs.pdx.edu/~mm/ Melanie Mitchell], Portland State University		[http://web.cecs.pdx.edu/~mm/ Melanie Mitchell], Portland State University

	Since the beginning of the computer age, the terms "information processing" and "computing" have been used to describe not only the actions of traditional, "von-Neumann-style" computers, but also the dynamics of biological systems, ranging from the brain to the immune system, cellular metabolism, and genetic regulation. It is becoming increasingly clear that, given the "non-von-Neumann" architectural features of these natural systems -- large and varying numbers of relatively simple, stochastic, and noisy components, limited, dynamic, and unreliable connections, and no central control -- these systems require a radically different model of information processing than the traditional one.		:Since the beginning of the computer age, the terms "information processing" and "computing" have been used to describe not only the actions of traditional, "von-Neumann-style" computers, but also the dynamics of biological systems, ranging from the brain to the immune system, cellular metabolism, and genetic regulation. It is becoming increasingly clear that, given the "non-von-Neumann" architectural features of these natural systems -- large and varying numbers of relatively simple, stochastic, and noisy components, limited, dynamic, and unreliable connections, and no central control -- these systems require a radically different model of information processing than the traditional one.

	In this brief talk I will frame the problem of developing such a model by proposing several questions that I believe must be answered if a system is to be usefully described as "computing" or "processing information".		:In this brief talk I will frame the problem of developing such a model by proposing several questions that I believe must be answered if a system is to be usefully described as "computing" or "processing information".


			Back to [http://www.santafe.edu/events/workshops/index.php/Principles_of_Biological_Computation main page]

Nemenman at 20:14, 1 May 2008

2008-05-01T20:14:21Z

← Older revision		Revision as of 20:14, 1 May 2008
Line 1:		Line 1:
	Since the beginning of the computer age, the terms "information processing" and "computing" have been used to describe not only the actions of traditional, "von-Neumann-style" computers, but also the dynamics of biological systems, ranging from the brain to the immune system, cellular metabolism, and genetic regulation. It is becoming increasingly clear that, given the "non-von-Neumann" architectural features of these natural systems --- large and varying numbers of relatively simple, stochastic, and noisy components, limited, dynamic, and unreliable connections, and no central control --- these systems require a radically different model of information processing than the traditional one.		By
			[http://web.cecs.pdx.edu/~mm/ Melanie Mitchell], Portland State University

			Since the beginning of the computer age, the terms "information processing" and "computing" have been used to describe not only the actions of traditional, "von-Neumann-style" computers, but also the dynamics of biological systems, ranging from the brain to the immune system, cellular metabolism, and genetic regulation. It is becoming increasingly clear that, given the "non-von-Neumann" architectural features of these natural systems -- large and varying numbers of relatively simple, stochastic, and noisy components, limited, dynamic, and unreliable connections, and no central control -- these systems require a radically different model of information processing than the traditional one.

	In this brief talk I will frame the problem of developing such a model by proposing several questions that I believe must be answered if a system is to be usefully described as "computing" or "processing information".		In this brief talk I will frame the problem of developing such a model by proposing several questions that I believe must be answered if a system is to be usefully described as "computing" or "processing information".

Nemenman at 20:13, 1 May 2008

2008-05-01T20:13:36Z

New page

Since the beginning of the computer age, the terms "information processing" and "computing" have been used to describe not only the actions of traditional, "von-Neumann-style" computers, but also the dynamics of biological systems, ranging from the brain to the immune system, cellular metabolism, and genetic regulation. It is becoming increasingly clear that, given the "non-von-Neumann" architectural features of these natural systems --- large and varying numbers of relatively simple, stochastic, and noisy components, limited, dynamic, and unreliable connections, and no central control --- these systems require a radically different model of information processing than the traditional one.

In this brief talk I will frame the problem of developing such a model by proposing several questions that I believe must be answered if a system is to be usefully described as "computing" or "processing information".