06.03.2013 Views

Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

cognitive memory <strong>and</strong> its utilization in problem solving. The model comprises of<br />

three distinct units namely<br />

input for<br />

decision making<br />

STM<br />

LTM<br />

For storage<br />

in the LTM<br />

input from sensory<br />

receptors/memory<br />

Fig. 2.4: Tveter’s Model showing direct entry to the LTM.<br />

Episodic memory stores <strong>info</strong>rmation about happened events <strong>and</strong> their<br />

relationship. The semantic memory, on the other h<strong>and</strong>, represents knowledge<br />

<strong>and</strong> does not change frequently. The procedural memory saves procedures for<br />

execution of a task [33]. A schematic architecture of Tulving’s model is<br />

presented in fig. 2.5.<br />

The episodic memory in fig. 2.5 receives an <strong>info</strong>rmation “the sky is cloudy”<br />

<strong>and</strong> saves it for providing the necessary <strong>info</strong>rmation to the semantic memory.<br />

The semantic memory stores knowledge in an antecedent-consequent form.<br />

The nodes in the graph denote <strong>info</strong>rmation <strong>and</strong> the arcs denote the causal<br />

relationship. Thus the graph represents two rules: Rule 1 <strong>and</strong> Rule 2, given<br />

below.<br />

Rule 1: If the sky is cloudy<br />

Then it will rain.<br />

Rule 2: If it rains<br />

Then the roads will be flooded.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!