geopro:pedro:situated
Diferenças
Aqui você vê as diferenças entre duas revisões dessa página.
| Próxima revisão | Revisão anterior | ||
| geopro:pedro:situated [2007/07/06 15:21] – created pedro | geopro:pedro:situated [2007/07/31 01:57] (atual) – pedro | ||
|---|---|---|---|
| Linha 1: | Linha 1: | ||
| ======A Situated View of Representation and Control====== | ======A Situated View of Representation and Control====== | ||
| - | |Rosenschein and Kaelbling| [[http:// | + | |Rosenschein and Kaelbling| 1995| Artificial Intelligence| [[http:// |
| - | {{ http:// | + | \\ |
| + | |||
| + | **Abstract: | ||
| + | dynamic and imperfectly predictable. Agents are typically difficult to program because the correctness of a program depend | ||
| + | on details of how the agent is situated in its environment. In this paper, we present a methodology for the design of | ||
| + | situated agents that is based on situated automata theory. This approach allows designers to describe the informational | ||
| + | content of an agent' | ||
| + | runtime symbolic processing. We start by outlining this situated view of representation, | ||
| + | design methodologies for building systems that track perceptual conditions and take purposeful actions in their environments. | ||
| + | |||
| + | {{ http:// | ||
| + | |||
| + | \\ | ||
| Situated agents are very difficult to model because they have close interactions with the environment | Situated agents are very difficult to model because they have close interactions with the environment | ||
| - | they belong. | + | they belong. The emphasis on an agent' |
| - | of traditional theories of representation and control.// The methodology is based on the //situated automata | + | of traditional theories of representation and control. |
| - | theory//. // | + | Knowledge |
| - | // The important aspect of situated automata theory is modeling systems such that, for each | + | __Comment: |
| + | //The important aspect of situated automata theory is modeling systems such that, for each | ||
| state of the environment E, there will be a corresponding state of the automaton M (by Carneiro).// | state of the environment E, there will be a corresponding state of the automaton M (by Carneiro).// | ||
| I understood that a TerraME agent is situated because of the execution of the jump conditions until | I understood that a TerraME agent is situated because of the execution of the jump conditions until | ||
| Linha 16: | Linha 29: | ||
| the external world.// | the external world.// | ||
| - | //We can construct arbitrarily complex machines from machines of two primitive types: pure functions and delay. | + | |
| - | Pure functions consists | + | Let the environment be represented as a nondeterministic automaton <S, P, A, //init//, v, // |
| - | Delay machines also consists | + | * S is a finite set of states |
| - | that the input location had on the previous tick.// | + | * P is a finite set of outputs (there are usefully viewed |
| + | * A is a finite set of actions that the agent can generate as input to the environment; | ||
| + | * //init// is a set of states containing | ||
| + | * v is a relation | ||
| + | * //out// is a function mapping S to P | ||
| + | |||
| + | |||
| + | {{http:// | ||
geopro/pedro/situated.1183735262.txt.gz · Última modificação: 2007/07/06 15:21 por pedro
