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Back to list of 2000/01 seminars
| Stochastic Diffusion Processes: self-organisation, search and intelligence | ||
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| Tuesday 6 March 2001 | 14:00 | Brian Spratt Room |
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Dr Mark Bishop
Department of Cybernetics University of Reading |
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In 1962 Rosenblatt described connectionist approaches to Artificial Intelligence, AI, primarily in terms of formal pattern matching tasks [1]. Alternatively, in a seminal paper fourteen years later, Newell and Simon defined symbolic AI in terms of the ratiocination of symbol manipulation and search [2]. Common to both, seemingly disparate, methodologies is unspoken use of a computational 'metaphor' underlying intelligent action. But cognition is not computation...
In this talk I will give a brief critical account of knowledge representation and processing in both connectionist and symbolic AI, before outlining a new metaphor for intelligent action grounded upon stochastic communication in a population of agents [3].
I will illustrate this metaphor in action by demonstrating how a simple network of stochastically communicating agents can both dynamically represent hi-arity knowledge and self-organise to perform best-fit constraint satisfaction search on distributed sub-symbolic information.
I conclude the presentation with a practical discussion of how to apply this methodology to the problem of how to locate the best Indian Restaurant when visiting a new town...
