Goal Attribution to Inanimate Agents

Babies have many opinions about the idea that they think they can become agents. For a baby, an agent can be anyone who has the purpose or purpose of action. The problem is that many researchers have different opinions on the agent identified by the infant. Many studies have been conducted to clarify this. Some researchers such as Melzoff, Tomasello, Woodward, Summerville, Guajardo believe in the first viewpoint of mankind. "This view suggests that infants condemn humans more than other agents" (Luo & Baillargeon, 2005).

(1) In the meaning of the most basic "cause", only agent's talent is the cause - "agent" is understood in a broad meaning including inanimate objects and human beings. (2) freedom of action is not canceled at all - but they do not have to think that they are random or coincident on account. In 2005, Lowe and his colleague Storrs McCall proposed all kinds of random opponent libertarian free will, in particular Peter van Inwagen 's "regeneration theory". Asserting uncertainty, our decision will be random. McCall and Lowe state that "Liberalism is a consistent philosophical claim." They propose a concept of immediate selection (compatists often rely on standard discussions for free will, deterministic or random attacks) in order to enter an ongoing time review process and ultimately agree on decisions Did.

The main purpose of this paper is to outline the agent-centered controversy theory. Our working hypothesis is that the purpose of the discussion depends on the agenda and the agent can close or move forward. The novelty of this view is that our theory establishes an a priori function expecting that the agent will achieve during the discussion, unlike the main arguments of the discussion (ie rhetoric, dialogue, and epistemology of arguments) It is not to do. Instead, we believe that the purpose of the argument depends on the purpose of the agent (ie their agenda).

There are three main types of agents: passive agents (simple - agents without targets), active agents (advanced - agents with simple goals, cognitive agenda (complex - complex calculations and activities Including)). The environment can be divided into three environments: a virtual environment, a discrete environment, and a continuing environment Furthermore, each agent environment has one or more related attributes: the RPA supports account management, billing processing, underwriting support , Customer support, billing, collection and so on. Integration, reporting, analysis and analysis