Difference between revisions of "Agent Environments"

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In multiagent systems there are agents as programmed operating units in certain types of enviroments. The basic distribution of agents is to reactive and delibarative agents. Reactive agents exist in the enviroment, they are influenced by its properties and changes however they do not create symbolic representation of the enviroment. Simply they don't try to simulate inteligent decisions or brain work. They don't read the environment, make no logic assumptions, they just react to it. In this case the inteligent behaviour comes from emergencies in the system which will be looked upon closely below. On the other hand deliberative agents do try to simulate inteligence as we percieve it in our brains. They do create symbolic representation of the enviroment and based on the experience with it they try to make an adequate inteligent decision.
 
In multiagent systems there are agents as programmed operating units in certain types of enviroments. The basic distribution of agents is to reactive and delibarative agents. Reactive agents exist in the enviroment, they are influenced by its properties and changes however they do not create symbolic representation of the enviroment. Simply they don't try to simulate inteligent decisions or brain work. They don't read the environment, make no logic assumptions, they just react to it. In this case the inteligent behaviour comes from emergencies in the system which will be looked upon closely below. On the other hand deliberative agents do try to simulate inteligence as we percieve it in our brains. They do create symbolic representation of the enviroment and based on the experience with it they try to make an adequate inteligent decision.
  
This textbook chapter shows differences between environments  
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This textbook chapter shows differences between different types of agents environments. It offers possible perceptions of the environment and how it affects each individual agent interacting with it and each other.
  
  

Revision as of 17:34, 21 January 2018

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In multiagent systems there are agents as programmed operating units in certain types of enviroments. The basic distribution of agents is to reactive and delibarative agents. Reactive agents exist in the enviroment, they are influenced by its properties and changes however they do not create symbolic representation of the enviroment. Simply they don't try to simulate inteligent decisions or brain work. They don't read the environment, make no logic assumptions, they just react to it. In this case the inteligent behaviour comes from emergencies in the system which will be looked upon closely below. On the other hand deliberative agents do try to simulate inteligence as we percieve it in our brains. They do create symbolic representation of the enviroment and based on the experience with it they try to make an adequate inteligent decision.

This textbook chapter shows differences between different types of agents environments. It offers possible perceptions of the environment and how it affects each individual agent interacting with it and each other.


Environments

Interpretation of the the environment

states

structured data for SW environments

Input function - can be from simple to very complex task (temperature - machine vision)

transduction problem

Interactions

Environments recognition problem

Often, we cannot simply denote the environment either static or dynamic, either accessible or inaccessible, etc. The environment could have a certain level of the particular trait.

Environment complexity problem

The more inaccessible, non-deterministic, dynamic and continuous the environment, the more complex and less recognizable it is.

The more complex the environment, the more difficult it is to design an agent that should work there.

Time dimension of the environment

The agent is often constrained by time. Is cannot explore and analyze the situation for years, but it has to deliver results in a reasonable time.

short-term X long-term problem (especialy in dynamic environmet)

Subsumption architecture

Reactive agents architecture developed by Brooks. Two key ideas: – Situatedness and embodiment. The agents are physically present

in the environment, draw all their information from the interaction with it and directly influence environment’s dynamics.

– Intelligence and emergence. The intelligence does not exist per se. It emerges from agents’ interactions with the environment and it is not present in single specific component of the system

Agents sense the environment and their percepts directly trigger the proper actions. They are typically as simple as: situation → action.

• Situations are arranged into layers. The lower layer, the more specific behavior and the higher priority.

• The actions are fired concurrently, each layer has its own sensors and effectors.