Path: utzoo!attcan!uunet!husc6!bloom-beacon!bu-cs!mirror!rayssd!raybed2!linus!mbunix!bwk From: bwk@mitre-bedford.ARPA (Barry W. Kort) Newsgroups: comp.ai Subject: Re: Feeling and thought: which comes first? Message-ID: <42902@linus.UUCP> Date: 11 Dec 88 16:35:17 GMT References: <2609@datapg.MN.ORG> <4524@homxc.UUCP> Sender: news@linus.UUCP Reply-To: bwk@mbunix (Barry Kort) Organization: Electronic Peaceware Project Lines: 31 I enjoyed Marty Brilliant's model of feelings vis-a-vis goals and reasoning. I think he is on the right track. I like to draw a technical distinction between "emotions" and "feelings". To me, emotions are the names of mental states, while "feelings" refer to sensory-neural information. The two are frequently related so closely that it is hard to tell the difference. The mental state of fear is often accompanied by reduced body temperature. Shake hands with someone who is afraid and you will feel a cold limp hand. Anger is often accompanied by secretion of adrenalin, and an increase in metabolic rate. Curiosity, fascination and puzzlement are emotional states frequently experienced by scientists. Anxiety is an emotional state experienced by students and novices in a public learning situation. I distinguish the mental state of anxiety with the sensory-neural response of tightness in the stomach (butterflies). A computer will probably not experience human-like somatic stress responses to emotional states. But a learning machine will likely have emotional states corresponding to curiosity, puzzlement, frustration, satisfaction, etc. Frustration will increase until a computer abandons an unachievable goal. Satisfaction will trigger a decision to accept a solution and to install it permanently into the compiled knowledge base. To me, the above model seems logical, and it matches my own direct experience, as well as successful approaches to AI. Certainly the ambulatory robots of MIT exhibit behavior consistent with the above model. --Barry Kort