of φ. The association becomes *forgotten* if the connection weight is below the forget parameter σ. The mind-map may degenerate due to less intensive stimuli.

The usage of *memories* depends on skeletons kj (t), which are higher-activated clumps of entity cells that occur temporally and that consist of entity cells sharing a strong activity.

As for the natural example, these skeletons may be sent to memories: depending on its state and temporal eligibility, the mind-map may keep existing skeletons inside the *shortterm memory (STM)* or send it to the *long-term memory*
(LTM). Whereas the *short-term memory* comprehends itself as a location on short-notice, the *long-term memory* is a place of long-duration that is only accessible to skeleton patterns being permanently present or recurring.

In a final phase, during communication with the outside world, comparison between the actual state of the mind and the outside contents is realised. This is to be done either on demand - the user explicitly sends a request - or unsolicited. In so far, the consequence of the brief descriptions above is not only that explorative mind-maps, which are *non-deterministic* regarding its size, appearance, and communication. Also that explorative mind-maps stand for a life-cycle process that depends on the intensity of incoming stimulations and the activity inside the mind-map.

Figure 2 presents a figurative demonstration of the mindmap. When the corresponding mini-networks arrive on the left side, they are already assigned to the receptor cells ri and filtered to fi cells. These mini-networks are entered into the outer area STM. Inside the STM, mini-networks are compared with the individual mind-map structures one by one. Note that these mind-maps are temporarily taken from the LTM (inner core) part. If the mini-network skeleton
(kj (t)) supports the structure of any existing mind-map, the skeleton is properly mapped and merged into the mind-map itself. Here, depending on the strength and relevance, clumps of the entity cells (skeletons kj (t)) may be sent to the LTM
from the STM and/or kicked out to the outer area. Once being in the outer area, they (the skeleton or its subset) are released from the mind-map.

Currently, some implementations, which are described in [1], have been realised and tested. First, an intrusion detection system has been designed and implemented. The explorative mind-map is used as an internal communication center for circulating immune cells in order to exchange novel intruder-related patterns and news. A second system manages implicit and explicit user feedback (inside a search retrieval environment) by a backbone mind-map engine. In a third system, an author-centric graph system - which is the mind-map - for bibliographic entries layer has been implemented to demonstrate affinity between social communities.

However, all these mind-map implementations allow an exploited sub-role within a larger software system, focusing on a given purpose. This is, in our opinion - a nonoptimal view, because mind-maps satisfy the demand for

![0_image_0.png](0_image_0.png)

a cognitive engine that may work independently and nondeterministically.

## 2. May We Understand Explorative Mind-Maps As An Engine Of Trust? 2.1. Mind-Maps Meet The Cognitive Demands!

Generally, cognition is commonly accepted as to be the process of thought. In the wide field of Artificial Intelligence, it refers to the representation of mental processes
(thoughts) and functions that state intelligent entities.

The acceptability of explorative mind-maps with these matters is that they have already demonstrated cognitive abilities, they are adaptive to the input and work continuously and incrementally (like humans and creatures).

Explorative mind-maps disarm the claim for a real-time system by a sliding window of size k and the filter cells.

It also address the complexity problem by a dynamic and flexible association affectation. In general, each processing step is done in parallel while having a synchronization step.

Mind-maps are associative, dynamic, and fault-tolerant; they share a hybrid structure with a sub-symbolic mind-map core and an user-directed interaction, which is not only related to a symbolic parameter adjustment but also to a verificative retrieve of existing mind-map information. And, whenever a mini-network is sent to the mind-map, some of the existing entity cells change their activation status and their activation to the neighbor entity cells through learning.

Even though the existent explorative mind-maps are mostly deterministically organized (as the procedure of what to do is predetermined), we want to find an answer to the question on how to integrate advanced cognitive performances like for example trust. With trust, we understand the assumption that future changes will have a positive and