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--- geopro:pedro:situated [2007/07/06 15:23] – pedro
+++ geopro:pedro:situated [2007/07/31 01:57] (atual) – pedro
@@ Linha 1: / Linha 1: @@
 ======A Situated View of Representation and Control======
-|Rosenschein and Kaelbling, 1995| Artificial Intelligence| [[http://leg.ufpr.br/~pedro/papers/rosenschein95situated.pdf|pdf]]| [[http://scholar.google.com.br/scholar?hl=pt-BR&lr=&cites=17385910363361766699| 94 citations in Scholar]]|
+|Rosenschein and Kaelbling| 1995| Artificial Intelligence| [[http://leg.ufpr.br/~pedro/papers/rosenschein95situated.pdf|pdf]]| [[http://scholar.google.com.br/scholar?hl=pt-BR&lr=&cites=17385910363361766699| 94 citations in Scholar]]|
 \\
+**Abstract:** Intelligent agents are systems that have a complex, ongoing interaction with an environment that is
+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's computational states in a semantically rigorous way without requiring a commitment to conventional
+runtime symbolic processing. We start by outlining this situated view of representation, then show how it contributes to
+design methodologies for building systems that track perceptual conditions and take purposeful actions in their environments.
 {{  http://leg.ufpr.br/~pedro/figures/interaction_agent_environment.jpg?600|Interaction between agent and environment}}
+\\
 Situated agents are very difficult to model because they have close interactions with the environment
-they belong. //The emphasis on an agent's connection to its environment is an important change from that
+they belong. The emphasis on an agent's connection to its environment is an important change from that
-of traditional theories of representation and control.// The methodology is based on the //situated automata
+of traditional theories of representation and control.
-theory//. //knowledge is an effective way of describing the relationship between agent and environment//
+Knowledge is an effective way of describing the relationship between agent and environment.
-//  The important aspect of situated automata theory is modeling systems such that, for each
+__Comment:__ Modelling is not so difficult as situated agents in real world.
+//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).//
 I understood that a TerraME agent is situated because of the execution of the jump conditions until
@@ Linha 17: / Linha 29: @@
 the external world.//
-//We can construct arbitrarily complex machines from machines of two primitive types: pure functions and delay.
-Pure functions consists of two locations and specify the values of one location as a function of the other.
+Let the environment be represented as a nondeterministic automaton <S, P, A, //init//, v, //out//>, where
-Delay machines also consists of two locations, but constrain the values of the output location to be the values
+  * S is a finite set of states of the environment;
-that the input location had on the previous tick.//
+  * P is a finite set of outputs (there are usefully viewed as percepts from the agent's perspective);
+  * A is a finite set of actions that the agent can generate as input to the environment;
+  * //init// is a set of states containing the one that the environment is known to be in initially;
+  * v is a relation on S x A x S where v(s_1, a, s_2) holds if it is possible for the world to make a transition from state s_1 to state s_2 when action a is generated by the agent
+  * //out// is a function mapping S to P
+{{http://leg.ufpr.br/~pedro/figures/situated.jpg|Interaction between agent and environment  }}