Logic in the Lab
نویسنده
چکیده
As humans, we live in a remarkably complex social environment. One cognitive tool which helps us manage all this complexity is our theory of mind, the ability to reason about the mental states of others. By deducing what other people want, feel and think, we can understand their actions, predict how our actions will influence them, and decide how we should behave to be successful. Theory of mind is the cognitive capacity to understand and predict external behavior of others and oneself by attributing internal mental states, such as knowledge, beliefs, and intentions [17]. This is thought to be the pinnacle of social cognition. A heated debate is going: Do very smart animals, such as chimpanzees and ravens, have any theory of mind? [3, 19]. Especially important in intelligent interaction is higherorder theory of mind, an agent’s ability to model recursively mental states of other agents, including the other’s model of the first agent’s mental state, and so forth. More precisely, zero-order theory of mind concerns world facts, whereas k + 1-order reasoning models k-order reasoning of the other agent or oneself. For example, “Bob knows that Alice knows that he wrote a novel under pseudonym” (KBobKAlicep) is a second-order attribution. It is commonly accepted that animals other than human beings do not use secondand higher-order theory of mind. Several formal theories well-known to the TARK audience are suited to represent higher-order theory of mind in intelligent interaction, for example, epistemic logic, dynamic epistemic logic, and epistemic game theory [15, 6, 22, 16]. However, in epistemic logic, unlimited rationality is usually taken for granted. Agents are assumed to be logically omniscient: they know all logical truths. The epistemic language allows reasoning on any modal depth and presupposes that agents can immediately decide whether a
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ورودعنوان ژورنال:
- CoRR
دوره abs/1310.6323 شماره
صفحات -
تاریخ انتشار 2013