Who tailors the blanket?

The gap between the Markov blanket and ontological boundaries arises from the former’s inability to capture the dynamic process through which biological and cognitive agents actively generate their own boundaries with the environment. Active inference in the FEP framework presupposes the existence of a Markov blanket, but it is not a process that actively generates the latter.

Number of autonomous agents in a neural network

This paper considers several aspects of the relationship between size, structure, speed of propagation and the number of autonomous cognitive agents in a neural network. Whereas, memory and function generation capacities of neural networks with scale invariant structure have been investigated extensively, the number of autonomous agents has not received prior attention. We propose the emergence of the dichotomy of causal and noncausal regions that is related to speed of propagation, in which the autonomous cognitive agents are not bound in a causal relationship with other agents. Arguments are presented for why the count of autonomous agents is best estimated with respect to the dimensionality of the underlying space. The number of autonomous agents obtained for the human brain equals twenty-five, and it is significant that the number in the sub-system modules also turns out to be close to the same value. It is possible that this near equality across layers provides a special uniqueness to the human brain. We argue that the findings of this study will be useful in the design of neural-network based AI systems that are designed to emulate human cognitive capacity. <br><br><br><br>

Number of autonomous agents in a neural network

This paper considers several aspects of the relationship between size, structure, speed of propagation and the number of autonomous cognitive agents in a neural network. Whereas, memory and function generation capacities of neural networks with scale invariant structure have been investigated extensively, the number of autonomous agents has not received prior attention. We propose the emergence of the dichotomy of causal and noncausal regions that is related to speed of propagation, in which the autonomous cognitive agents are not bound in a causal relationship with other agents. Arguments are presented for why the count of autonomous agents is best estimated with respect to the dimensionality of the underlying space. The number of autonomous agents obtained for the human brain equals twenty-five, and it is significant that the number in the sub-system modules also turns out to be close to the same value. It is possible that this near equality across layers provides a special uniqueness to the human brain. We argue that the findings of this study will be useful in the design of neural-network based AI systems that are designed to emulate human cognitive capacity. <br><br><br><br>

Semantic interoperability of interaction of elements in network-centric systems.

In the paper is proposed an approach for semantic interaction modelling of network-centric system elements and their context parameters based on the multi-agent approach and the systems, capabilities, operations, programs, and enterprises model for interoperability assessment. The peculiarity of this approach is that the elements of a network-centric system are formalized as agents of various types (human agents and technical cognitive agents), where the semantic interaction is determined by the agent goals, the subject area of interaction and the context. In addition, correct of interaction interpretation is determined the agent's knowledge model. The current study takes place as a part of Russian Foundation for basic research finance project no. 19-07-00774.

Basic provisions of the concept of semantic interoperability of net-centric systems.

In the situation of transition from information and control systems to a net-centric architecture and development of net-centric information and control system, the relevance of interoperability assurance in such systems is increasing. Interoperability have to be provided at three levels: technical, semantic and organizational in accordance with Russia's state standard no. 55062-2012. Main thesis of the semantic interoperability concept are proposed in this paper on basis of a multi-agent approach and a systems, capabilities, operations, programs, and enterprises model for interoperability assessment. The peculiarity of this concept is that interaction on the semantic level in net-centric systems is formalized on basis of various types of agents: human agents, technical cognitive agents and technical reactive agents. At the same time, the semantics of agents interactions with each other is determined by goals of the agents, subject area of interaction and context.

Knowledge by Hearing

In this paper, I argue that Husserl offers an important, although almost completely neglected so far, contribution to the reductionist/antireductionist debate about testimony. Through a phenomenological analysis, Husserl shows that testimony works through the constitution of an intentional intersubjective bond between the speaker and the hearer. In this paper I focus on the Logical Investigations, a 1914 manuscript now published as text 2 in Husserliana 20.2, and a 1931 manuscript now published as Appendix 12 in Husserliana 15. I argue that, in those texts, Husserl highlights three essential phenomenological features of testimony: a) testimony is personal, meaning that it only takes place among persons, b) testimony is social, meaning that it requires the joint effort of multiple cognitive agents, c) testimony is community-building, meaning that it generates a long-lasting social bond among the parts involved.